Podcasts about SPSS

Programmieren als Psycholog*innen? Statistisches Programmieren ist wohl das Themen, mit dem wir beim Studierendeneinstieg am wenigsten gerechnet haben und dann mit es immer mehr Platz im Studium ein. Und daher müssen wir auch in unseren Abschlussarbeiten genau das machen. In dieser Folge hört ihr, welche Programmiersprachen es gibt und wann wir SPSS oder R wählen würden. Außerdem hört ihr, wie ihr Skripte beschriften könnt und Kai und Luise erzählen euch ihre Top Fehler die die beiden beim Coden einfach immer wieder machen… Stay positive!Musik: Stephan SchillerSchnitt und Post-Production: Luise HönigModeration und Production: Kai Krautter und Luise Hönig

The PolicyViz Podcast wraps up 2024 with David Keyes, author of the new book, R for the Rest of Us: A Statistics-Free Introduction! We not only talk about how you can get started in R using David's book, but also building data and data visualization workflows with R, RMarkdown, and Quarto. We also talk about how to create consistent visualizations through themes and functions in R to help new R users leverage its features without being intimidated by complex statistics.I hope you enjoy this episode and have a great holiday season! See you in 2025!!Keywords: data, data visualization, PolicyVizPodcast, JonSchwabish, DavidKeyes, RForTheRestOfUs, DataCommunication, DataVisualization, Quarto, RMarkdown, DataPresentation, BrandedVisualizations, Excel, SelfTaughtR, QuantitativeEvaluation, ChatGPT, QualitativeDataAnalysis, TablesInR, EfficiencyInR, SPSS, SAS, Stata, ggplot, ReproducibleResearch, BeginnerFriendlyR, QuartoVsRMarkdown, SurveyDataAutomation, Netlify, DataManagementWorkflow, LearningR, mathematics, Al, machine learningSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out David's website and podcast, and grab his book R for the Rest of Us on AmazonFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Prayson Daniel is a data scientist, a philosopher, and a teacher. He is currently the Director of Transformation Lab at NTT Data, global innovator of IT and business services.Prayson has been harnessing Machine Learning to boost business, foster customer and employee loyalty, grow revenue, multiply efficiency, and make data-informed decisions, while serving multiple roles at global corporations, including If Insurance, ProData Consult, to name a few.As a Persuasive Technologist at Aalborg University, Prayson contributed to the development of The Virtual Lab for Prior Studies. A joint project between the Royal School of Library and Information Science (University of Copenhagen) and the Department of Communication and Psychology (Aalborg University).He has also taught digital ethics, philosophy of religion, and public relation at Mariager Høj- og Efterskole, contributing to the development and teaching of persuasive web communication, data analysis and data visualisation using Python, Tableau, SPSS, and Excel BI.Prayson is a Master of Science in Information Technology and Persuasive Design from Aalborg University.To know more about Prayson Daniel, visit https://businessabc.net/wiki/prayson-wilfred-danielPrayson Daniel Interview Questions00:00 - 01:08 Introduction01:09 - 03:49 Prayson's Background03:50 - 05:30 Essence of human-centricity in data and algorithms05:31 - 09:32 Ethical aspects of data modeling09:33 - 11:34 Data model management using watsonx.governance11:35 - 15:05 Effective and ethical use of data15:06 - 18:02 A balanced data analytics model vision18:03 - 21:41 Digital twins and data optimisation21:42 - 25:05 The Digital Transformation Lab at NTT Data25:06 - 25:30 ClosureAbout NTT DATANTT DATA is a part of NTT Group. The company is a trusted global innovator of IT and business services headquartered in Tokyo, helping clients transform through consulting, industry solutions, business process services, IT modernisation and managed services. NTT DATA has a global reach having spread in over 50 countries.To know more about NTT DATA, visit https://businessabc.net/wiki/ntt-dataUseful Links and Resourceshttps://www.linkedin.com/in/prayson/?original_referer=https%3A%2F%2Fwww%2Ebing%2Ecom%2F&originalSubdomain=dkhttps://www.youtube.com/watch?v=nG30D2fRwiUhttps://dev.to/proteusiq/in-rust-for-python-a-match-from-heaven-51fnhttps://dev.to/proteusiq/organic-coding-safeguarding-the-future-of-ai-code-assistance-tools-cc6About citiesabc.comhttps://www.citiesabc.com/​​​​​​​​​​​ About businessabc.nethttps://www.businessabc.net/About fashionabc.orghttps://www.fashionabc.org/ About Dinis Guardahttps://www.dinisguarda.com/https://businessabc.net/wiki/dinis-guardaSupport the show

Join us as we sit down with Robbie, a dynamic entrepreneur with a unique journey. Discover the pivotal moments that shaped her career and fueled her mission to make a lasting impact. She dives into:M&A insight from selling her companiesHer mentor in residency role at Duke UniversityTeaching women to be angel investorsMeeting you where you are Robbie juggled side businesses with her corporate career, but despite her success, she felt out of sync with corporate norms and craved a deeper impact. A transformative trip to Colorado inspired her to forge a path that fed her soul. Her employer became her first client, and her first company was born.Despite not being a natural at math and science, she delved into statistical programs like SAS and SPSS, discovering a passion for technology management.Over the years, Robbie founded or co-founded over a dozen companies, with her first exit in 1995 with CI Technologies. Beyond her entrepreneurial ventures, her mission is empowering women to find their confidence and courage. Initiatives like Empowering Women Together and xElle Ventures, an angel fund for female founders, exemplify her commitment. Robbie's books, Upsetting the Table and Fed Up to Start Up, further share her journey and inspire others to leap into entrepreneurship.See you next time! Thank you for stopping by. If you enjoy the show, subscribe for weekly episodes and rate the show 5 stars! If you would like to ask the host or guest a question, please email Danica at PodcastsByLanci@gmail.com to get started.This episode is brought to you by Coming Alive Podcast Production: Helping You With All Your Podcasting Needs. Head to https://www.comingalivepodcastproduction.comSupport the Show.This episode is brought to you by Coming Alive Podcast Production: Helping You With All Your Podcasting Needs. Head to www.comingalivepodcastproduction.com to learn more.See you next week and thanks for spending part of your day with us.

263: Tech-Forward Strategies for Nonprofit Success (David Blyer)SUMMARYHow can your nonprofit leverage the latest technological advancements to elevate its fundraising, donor engagement, and mission impact? In episode 263 of Your Path to Nonprofit Leadership, technology expert David Blyer explores cutting-edge tools and strategies shaping the future of the nonprofit sector. From the imperative of leveraging technology to drive social change to the practical applications of AI and machine learning, David sheds light on how nonprofits can harness these tools to enhance donor retention, acquisition, and engagement. With a focus on integrated solutions and innovative approaches, David underscores the importance of technology in streamlining operations and maximizing impact. From virtual reality to blockchain, the horizon of possibilities is vast, offering nonprofit leaders the opportunity to revolutionize their organizations.ABOUT DAVIDDavid Blyer is Co-Founder, CEO, and President of Arreva, a trusted advisor and market leader to the non-profit industry for over three decades, providing software and services including virtual fundraising, donor relationship management, and virtual auction software. He founded DonorCommunity in 1999, the first All-in-One Fundraising Software for the nonprofit industry, and co-founded Arreva with Susan Packard Orr, through a merger with her company, Telosa in 2017. In 1994, he co-founded, and was the CEO and President of Vento Software, a provider of packaged vertical business intelligence applications that was gained by Chicago-based SPSS in 1999. After the acquisition, David served as President of the company's Enabling Technologies Division which was gained by IBM. Prior to Vento, Blyer held executive management and sales positions with Tandem, NCR and other leading technology/consulting firms. David holds an MBA in Finance from Nova Southeastern University and a BA in Business Management from the University of South Florida. He also is a member of NonProfit PRO's board of directors, serving as an Editorial Advisory Board Member.EPISODE TOPICS & RESOURCESThe Generosity Crisis: The Case for Radical Connection to Solve Humanity's Greatest Challenges by Nathan Chappell, Brian Crimmins & Michael Ashley Want to hear more from authors, Nathan Chappell & Brian Crimmins? Listen to Patton's interview of them in episode 211 of Your Path to Nonprofit Leadership today!Check out the Audible version of Patton's book Your Path to Nonprofit Leadership: Seven Keys to Advancing Your Career in the Philanthropic Sector

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The Dunning-Kruger of disproving Dunning-Kruger, published by kromem on May 18, 2024 on LessWrong. In an online discussion elsewhere today someone linked this article which in turn linked the paper Gignac & Zajenkowski, The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data (PDF) (ironically hosted on @gwern's site). And I just don't understand what they were thinking. Let's look at their methodology real quick in section 2.2 (emphasis added): 2.2.1. Subjectively assessed intelligence Participants assessed their own intelligence on a scale ranging from 1 to 25 (see Zajenkowski, Stolarski, Maciantowicz, Malesza, & Witowska, 2016). Five groups of five columns were labelled as very low, low, average, high or very high, respectively (see Fig. S1). Participants' SAIQ was indexed with the marked column counting from the first to the left; thus, the scores ranged from 1 to 25. Prior to providing a response to the scale, the following instruction was presented: "People differ with respect to their intelligence and can have a low, average or high level. Using the following scale, please indicate where you can be placed compared to other people. Please mark an X in the appropriate box corresponding to your level of intelligence." In order to place the 25-point scale SAIQ scores onto a scale more comparable to a conventional IQ score (i.e., M = 100; SD = 15), we transformed the scores such that values of 1, 2, 3, 4, 5… 21, 22, 23, 24, 25 were recoded to 40, 45, 50, 55, 60… 140, 145, 150, 155, 160. As the transformation was entirely linear, the results derived from the raw scale SAI scores and the recoded scale SAI scores were the same. Any alarm bells yet? Let's look at how they measured actual results: 2.2.2. Objectively assessed intelligence Participants completed the Advanced Progressive Matrices (APM; Raven, Court, & Raven, 1994). The APM is a non-verbal intelligence test which consists of items that include a matrix of figural patterns with a missing piece. The goal is to discover the rules that govern the matrix and to apply them to the response options. The APM is considered to be less affected by culture and/or education (Raven et al., 1994). It is known as good, but not perfect, indicator of general intellectual functioning (Carroll, 1993; Gignac, 2015). We used the age-based norms published in Raven et al. (1994, p. 55) to convert the raw APM scores into percentile scores. We then converted the percentile scores into z-scores with the IDF.NORMAL function in SPSS. Then, we converted the z-scores into IQ scores by multiplying them by 15 and adding 100. Although the norms were relatively old, we considered them essentially valid, given evidence that the Flynn effect had slowed down considerably by 1980 to 1990 and may have even reversed to a small degree since the early 1990s (Woodley of Menie et al., 2018). An example of the self-assessment scoring question was in the supplemental materials of the paper. I couldn't access it behind a paywall, but the paper they reference does include a great example of the scoring sheet in its appendix which I'm including here: So we have what appears to be a linear self-assessment scale broken into 25 segments. If I were a participant filling this out, knowing how I've consistently performed on standardized tests around the 96-98th percentile, I'd have personally selected the top segment, which looks like it corresponds to the self-assessment of being in the top 4% of test takers. Behind the scenes they would then have proceeded to take that assessment and scale it to an IQ score of 160, at the 99.99th percentile (no, I don't think that highly of myself). Even if I had been conservative with my self assessment and gone with what looks like the 92-96th pe...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The Dunning-Kruger of disproving Dunning-Kruger, published by kromem on May 18, 2024 on LessWrong. In an online discussion elsewhere today someone linked this article which in turn linked the paper Gignac & Zajenkowski, The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data (PDF) (ironically hosted on @gwern's site). And I just don't understand what they were thinking. Let's look at their methodology real quick in section 2.2 (emphasis added): 2.2.1. Subjectively assessed intelligence Participants assessed their own intelligence on a scale ranging from 1 to 25 (see Zajenkowski, Stolarski, Maciantowicz, Malesza, & Witowska, 2016). Five groups of five columns were labelled as very low, low, average, high or very high, respectively (see Fig. S1). Participants' SAIQ was indexed with the marked column counting from the first to the left; thus, the scores ranged from 1 to 25. Prior to providing a response to the scale, the following instruction was presented: "People differ with respect to their intelligence and can have a low, average or high level. Using the following scale, please indicate where you can be placed compared to other people. Please mark an X in the appropriate box corresponding to your level of intelligence." In order to place the 25-point scale SAIQ scores onto a scale more comparable to a conventional IQ score (i.e., M = 100; SD = 15), we transformed the scores such that values of 1, 2, 3, 4, 5… 21, 22, 23, 24, 25 were recoded to 40, 45, 50, 55, 60… 140, 145, 150, 155, 160. As the transformation was entirely linear, the results derived from the raw scale SAI scores and the recoded scale SAI scores were the same. Any alarm bells yet? Let's look at how they measured actual results: 2.2.2. Objectively assessed intelligence Participants completed the Advanced Progressive Matrices (APM; Raven, Court, & Raven, 1994). The APM is a non-verbal intelligence test which consists of items that include a matrix of figural patterns with a missing piece. The goal is to discover the rules that govern the matrix and to apply them to the response options. The APM is considered to be less affected by culture and/or education (Raven et al., 1994). It is known as good, but not perfect, indicator of general intellectual functioning (Carroll, 1993; Gignac, 2015). We used the age-based norms published in Raven et al. (1994, p. 55) to convert the raw APM scores into percentile scores. We then converted the percentile scores into z-scores with the IDF.NORMAL function in SPSS. Then, we converted the z-scores into IQ scores by multiplying them by 15 and adding 100. Although the norms were relatively old, we considered them essentially valid, given evidence that the Flynn effect had slowed down considerably by 1980 to 1990 and may have even reversed to a small degree since the early 1990s (Woodley of Menie et al., 2018). An example of the self-assessment scoring question was in the supplemental materials of the paper. I couldn't access it behind a paywall, but the paper they reference does include a great example of the scoring sheet in its appendix which I'm including here: So we have what appears to be a linear self-assessment scale broken into 25 segments. If I were a participant filling this out, knowing how I've consistently performed on standardized tests around the 96-98th percentile, I'd have personally selected the top segment, which looks like it corresponds to the self-assessment of being in the top 4% of test takers. Behind the scenes they would then have proceeded to take that assessment and scale it to an IQ score of 160, at the 99.99th percentile (no, I don't think that highly of myself). Even if I had been conservative with my self assessment and gone with what looks like the 92-96th pe...

Michael McHale, CEO of St. Paul's Senior Services (SPSS), is joined by Amanda Gois, Chief Marketing Director for St. Paul's, to discuss SPSS's myriad services for those in need, as well as its focus on working with families to "plan for tomorrow today."

About the Mini Series: This podcast mini-series, "Data Analysis for Sedentary Behaviour," is an insightful journey into the realm of sedentary behavior research. Hosted by Dr. Olli Tikkanen, a renowned expert in the field, the series aims to empower listeners with the knowledge and tools required to conduct, analyze, and interpret sedentary behavior or physical activity measurements. The six-part series delves into a variety of aspects related to the subject, from understanding the data to visualizing and presenting the results. About the Episode Topic: Episode 4 of the series, "Tools and Visualizing Techniques," is designed to enhance the listener's understanding of the various software tools available for analyzing sedentary behavior data. It emphasizes the importance of tool proficiency, recognizing the strengths and weaknesses of different platforms such as SPSS, R, Python, Excel, and Google Sheets. The episode elaborates on how the choice of software can influence the effectiveness and efficiency of analysis, depending largely on the user's familiarity and the nature of the data. The latter part of the episode underscores the significance of data visualization, a key aspect of presenting research findings. It offers a guide on the principles of good design, selecting appropriate visualization types, and ensuring accessibility. Emphasizing that data visualization is akin to learning a new language, Dr. Tikkanen encourages listeners to invest time in understanding and mastering this skill to make their research more impactful and comprehensible. Timestamps: [00:01:00] Introduction and Recap of Previous Episodes [00:02:00] Discussion on Tools for Data Analysis [00:04:00] Introduction to Data Visualization [00:06:00] Concluding Remarks and Importance of Learning --- Want to book a video call with Dr Olli Tikkanen to discuss your sedentary behavior or physical activity measurements? Here's the link: https://olli.tucalendi.com/par/videocall

Join us in this enlightening episode as we sit down with Dr. Quantrilla Ard to unravel the mysteries of preeclampsia, a condition that can impact expecting parents. Discover the signs, risks, and proactive measures to safeguard maternal and fetal health. Gain insights into the latest research and practical advice for a healthier pregnancy journey. Shownotes: Today's guest on the Baby Pro podcast is Dr. Quantrilla Ard, a passionate and energetic public health professional with a background in behavioral science. She thrives on working with people and possesses valuable qualities like adaptability and problem-solving skills. Her extensive experience includes conducting various research activities such as focus groups, interviews, and needs assessments for both individuals and communities. Driven by her passion for helping others, she has served as an advocate for various populations in roles ranging from consultant to Senior Clinical Analyst. Dr. Ard's expertise extends to research and data analysis, involving data collection, mining, and utilization of tools like SPSS and Microsoft Excel in academic and health settings. Notably, she is dedicated to addressing disparities in Black infant and maternal health.   In this episode, you will learn the following:   Preeclampsia is a hypertensive disorder of pregnancy characterized by high blood pressure and protein in the urine.   Symptoms of preeclampsia include headaches, blurred vision, upper right quadrant pain, and swelling.   Preeclampsia is a serious condition and one of the leading causes of maternal mortality.   Black women and women of color are five times more likely to develop preeclampsia and have more severe cases.    Preeclampsia can also occur postpartum and requires ongoing monitoring and care.   Advocacy, sharing stories, and participating in research studies are important in addressing preeclampsia and improving outcomes. Connect with Dr. Ard:   Twitter:  qyard08 Instagram: https://www.instagram.com/thephdmamma Website:  Home of The PhD Mamma Connect with Shelly:    my website: Massachusetts IBCLC | Lactation Consultant - Shelly Taft Instagram: Instagram (@shellytaftibclc) Resources Mentioned:    Article: Over the counter birth control:   FDA approves first over-the-counter birth control pill in the U.S.  

About the Miniseries: This podcast miniseries, "Data Analysis for Sedentary Behaviour", hosted by Dr. Olli Tikkanen, aims to deliver a comprehensive understanding of sedentary behavior data analysis. Across six informative episodes, Dr. Tikkanen brings clarity to complex concepts, explores advanced analytic techniques, and introduces software tools that aid in the examination and interpretation of sedentary behavior and physical activity data. This miniseries is designed for a wide audience, from novices in the field to seasoned researchers seeking new insights.   About the Episode Topic: In episode two of the series, Dr. Tikkanen dives deep into the key techniques for analyzing sedentary behavior data: descriptive statistics and time series analysis. These approaches represent foundational elements of data analysis, offering researchers powerful tools to better understand and interpret their data. Descriptive statistics, a method used for summarizing and organizing data, offers a preliminary insight into the behavior patterns of the study group. Moving beyond preliminary understanding, time series analysis reveals patterns, trends, and cycles within the data, offering a dynamic view of sedentary behavior. Here, we begin to understand how activity levels fluctuate over time, leading to deeper insights and potentially exposing critical intervention points. Dr. Tikkanen also acknowledges the importance of software tools such as SPSS, R, and Python in simplifying the analysis process, while emphasizing the value of building the necessary skills to use these tools effectively. Episode Timestamps: [00:01:00] - Introduction and Recap [00:02:00] - Data Analysis and its Importance [00:03:00] - Descriptive Statistics [00:04:00] - Time Series Analysis [00:05:00] - Software Tools in Data Analysis [00:06:00] - Skill Development in Data Analysis [00:07:00] - Limitations of Data Analysis Want to book a video call with Dr Olli Tikkanen to discuss your sedentary behavior or physical activity measurements? Here's the link: https://olli.tucalendi.com/par/videocall

In this episode, Lucy and Maddie dive into Lucy's unique religious upbringing and her discovery of spirituality. Lucy is 14 and the host of The Rae of Light Podcast. She's been through public schools, private schools, and is now homeschooled. Her journey has taught her how to navigate bullying and the real impact of sensory processing. The Rae of Light Podcast: Instagram (@raeoflight_pod) Spotify Time Stamps: (3:33) - Lucy's love for yoga and how it's changed her relationship with her body. (16:56) - The basics of Christianity and how it relates to spirituality. (36:09) - What is trauma? How does it impact us? (42:03) - The switch between public school, private school, and home school. (52:26) - Bullying and the impacts it can have on your self-image. (58:27) - How releasing energy heals. (1:02:51) - Transitioning to homeschool and building your community. (1:13:01) - Sensory Processing and its impact on friendship. (1:21:28) - Lucy's podcast, Rae of Light (1:30:11) - Final Thoughts Notes: Baader Meinhof Phenomenon - cognitive bias refers to the tendency to notice something more often after noticing it for the first time Sensory Processing Sensitivity (SPS) - a biologically-based trait; research on brain scans shows that SPSs have greater activation in brain regions that are associated with perception and empathy, as well as stronger responses to pleasant and unpleasant stimuli Skinny Dipping Podcast - Apple Podcasts / Spotify Enjoyed hearing about Lucy's journey? Make sure to leave us a review on Spotify or Apple Podcasts to help us grow! If you are interested in sharing your story, contact us at maddie@thefloweringcompass.com or DM us on Instagram @thefloweringcompass.pod

Episode #27 of "Can I get that software in blue?", a podcast by and for people engaged in technology sales. If you are in the technology presales, solution architecture, sales, support or professional services career paths then this show is for you! Will LaForest is the Field CTO @ Confluent, creators and maintainers of Apache Kafka. Before joining Confluent, Will held senior technical and sales positions at very successful companies like SPSS, Mark Logic, MongoDB, and Red Hat. He joins us to discuss his journey to the Field CTO position and why he sees an increasing need for that position in the software space. We also talk about Kafka, why people love it (and nobody is trying to get rid of it), and what he's excited about as the new generation of pre-sales professionals enters their careers. Our website: https://softwareinblue.com Twitter: https://twitter.com/softwareinblue LinkedIn: https://www.linkedin.com/showcase/softwareinblue Make sure to subscribe or follow us to get notified about our upcoming episodes: Youtube: https://www.youtube.com/channel/UC8qfPUKO_rPmtvuB4nV87rg Apple Podcasts: https://podcasts.apple.com/us/podcast/can-i-get-that-software-in-blue/id1561899125 Spotify: https://open.spotify.com/show/25r9ckggqIv6rGU8ca0WP2

Statistik in der Psychologie - dafür haben wir schon lange den Taschenrechner abgelegt und greifen zu dem Programmierprogramm R. R ist kostenlos und frei zugänglich und wird von Forscher:innen genutzt, um Daten aufzuarbeiten und Tests zu berechnen. Nicht immer läuft das so einwandfrei, wie man sich wünscht, daher bedarf es ein bisschen Einarbeitung und Geduld. Vorteil ist jedoch, dass man Skripte immer wieder auf ähnliche Daten anwenden kann und mit anderen austauschen. Wie der Einstieg in R gelingt und was die Unterschiede zwischen R und SPSS sind, erfahrt ihr in dieser Folge mit Frederik und Marius. Es gibt Tipps für Studierende und SPSS-Liebhaber:innen. Außerdem stellen die Gäste ihr eigenes "R-Paket" vor namens "papaja". Das hilft uns dabei, copy-and-paste Fehler zu vermeiden und gute Ergebnisteile zu verschriftlichen. Mehr dazu in der Folge - wir wollen euch die Angst vor Statistik nehmen. Stay positive! Musik: SchlaraffelSchnitt und Post-Production: Helena Mehler und Luise HönigModeration und Production: Kai Krautter und Luise HönigKooperation: Open Science AG (PsyFako) Gäste: Frederik Aust und Marius Barth Verweise zu Papaja für RStudio: https://github.com/crsh/papajahttps://frederikaust.com/papaja-workshop/

In this episode, I chat with Dr. Allen Roda. Allen received his PhD from NYU in Music and Anthropology and currently oversees operations at Dissertation Editor.Highlights:Hiring outside help in the form of an expert editor or statistical consultant can save you much time, money, and sanity!Most universities will require a certain style (for example, APA) and that your manuscript follows a detailed format (including very specific margins, table of contents, headings, etc.); getting your manuscript in the correct form and style can be a very technical (and hair-pulling) task.When seeking outside help, be aware of companies/individuals who lack integrity and don't have the experience you need.An editor, coach, or consultant will not write your dissertation/doctoral project for you (and if they offer to do so - RUN!); you must OWN your work as you will be orally defending it prior to being granted your degree.Think of outside help like a team assisting you on the arduous doctoral journey. You don't have to do this alone!Services offered at Dissertation Editor:* Developmental Editing and Coaching for struggling students early in the process* Research Assistance and Literature review coaching* Line Editing with Critical feedback for Dissertation Chapters* Analysis Planning and IRB support* Qualitative and Quantitative Analysis with SPSS, Nvivo, AMOS, R and more!* Copy Editing, Proofreading, and Formatting Services for approved dissertations or chapters* PowerPoint Presentations and Defense Coaching* Dissertation-to-Book and Dissertation-to-article conversion services for graduatesContact Dissertation Editor at: https://www.dissertation-editor.comGet The Happy Doc Student Handbook: https://www.amazon.com/dp/0578333732Other resources at: http://Expandyourhappy.com Support this free content: https://www.buymeacoffee.com/expandyourhappyWant to make my day? Rate, review, subscribe & share with someone you love.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.10.23.513412v1?rss=1 Authors: Athreya, V. M., Barman, A. Abstract: Background and Aims: Temporal resolution is assessed using behavioral tests, which are highly affected by extraneous variables. We explored the relationship between behavioral Across-Channel Gap Detection Threshold (AC GDT) and different temporal parameters of an objective measure, Auditory Brainstem Response (ABR), to account for the extraneous variables. Settings and Design: We conducted an experimental study on thirty native Kannada-speaking adults with normal hearing sensitivity in the age range of 18-25 years. Materials and Methods: We estimated the Gap detection threshold (GDT) using an across-channel (AC) paradigm, and Auditory Brainstem Response (ABR) was recorded at 80 dBnHL for three repetition rates of 11.1, 30.1, and 90.1/sec. Statistical Analyses used: Normality testing, the Friedman test, post-hoc analysis by Wilcoxon Signed-Rank test, along with descriptive statistics was performed using SPSS v20 (IBM Statistical Package for Social Sciences, New York, USA). Results: The results showed a significant positive correlation between AC GDT scores and latency of wave I for the repetition rates of 11.1 and 30.1/sec and latency of wave V at 30.1 and 90.1/sec. There was a negative correlation (but not significant) between AC GDT scores and the slope of wave V across the repetition rates. Conclusions: The results suggest a relationship between the behavioral and electrophysiological measures of temporal processing. Measuring the latency of wave I and wave V of ABR would give an estimate of their AC GDT scores, especially in difficult-to-test populations. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Jimbo is a pile of shit. I started to ebtertain the notion that, and i dont pretend to surmise i am the only person who may have had this thought. But here we go....it is possible or more likely probable that one reason we see such large population booms in china and India, both economically depressed suffering from wide spread poverty and other conditions of economic blight that one of the most widely available means to entertain yourself aside from rubbing one of whatever crude fruit or vegetable term you want to use, is fornicating or sex for the laid person...get it...clever sex joke but its the wrong tense. Anyway, if you have no money, not much to do, no job, no school or education and perhaps just very limited ways to entertain or pass the time or just forget about the shit of daily life....who gives a fuck. I will take one...i will take two. Shit if you are just giving them out i take as many as I can get. My contention is that in poor, poverty stricken areas. Sex with a willing partner is a free or, at least at first, a good way to entertain an otherwise dull or unchallenged lifestyle. I write this here because jimbo is a shit stain sniffing fucking loser who wants to steal my idea. If Malcolm Gladwell wants to send out a survey and data set i can use SPSS and do a fucking kick ass regression analysis and prove a P value of less than 0.05 meaning our shit is statistically significant. Anyway, eat shit jimbo. Fuck you. Youre a shit stain sniffing fucking loser. Eat a dick and go commit suicide. Take tessa with you. You are both fucking loser. As you heard, i am not a killer any more but that decision to change is left up to me. You're a fucking loser Jim. A pile of shit fucking loser.

#29- MIND MINING - Insights On Human Resource Management and Organizational Behavior with Dr. Pallavi S. Vyas Dr. Pallavi (Pallavi Ghanshyala) S. Vyas is a Human Resource Management Professional at CMS business school JAIN University. She holds PhD in Human Resource Management with 10+ years' experience in Managing teams, Training, L&D, Research and Liaising. Her area of expertise lies in HRM, OB, Learning and Development, Training Needs Analysis, Talent Development and Competency Mapping, Knowledge Management and Data Analytics using SPSS. Dr. Pallavi (Pallavi Ghanshyala) S. Vyas - https://www.linkedin.com/in/dr-pallavi-s-vyas-0b68b416/ Topics Covered - HR and OB Productivity and Performance Team Work and Collaboration Work Life Balance Work From Home Culture Interview Tips If you want to share your views and have any topic that you want to hear or join our podcast you can DM us at my_pen_my_sword (IG). --- Send in a voice message: https://anchor.fm/mypenmysword/message

Sean McElwee is the Founding Executive Director of Data for Progress, a progressive polling and think tank operation shaking up the way Democrats utilize data to better message and implement their priorities. Sean talks his roots as a military kid in an evangelical household, his circuitous path to working in progressive politics, the origin and evolution of Data for Progress, and how he thinks about some of the big questions facing those who work in politics. IN THIS EPISODE….Sean grows up in an evangelical military family in Connecticut…What drew Sean toward libertarianism early and what made him move away from it…The threads of evangelical Christianity that still endure in Sean's politics…Sean's riff on whether candidates should use profanity…Sean talks the importance of a candidate's “vibes” and “juice”…The famous broadcaster Sean is friendly with…Sean talks the role think-tanks play in American politics…Sean talks his time leading the “Abolish ICE” effort…Sean tells the story behind the founding of Data for Progress…Sean on his friendship with prominent data scient David Shor and where they disagree…Sean's theory on why people should gamble more on prediction markets…Sean talks his big wins and some losses on the political prediction markets…Sean's take on the political appeal of John Fetterman…How Sean thinks about the role of Independent Expenditures…The Republican politicians whose communications impress Sean...Sean's advice on the campaigns Democrats should run in 2022…What Sean looks for when he's hiring at Data for Progress…Sean's strangest work habits… AND…the 80-50 rule, 90% agendas, AOC, John Anzalone, automatic voter registration, Richard Blumenthal, books and stuff, Jamaal Bowman, Katie Britt, Mo Brooks, Jimmy Carter, CBS News, chimeras, Jim Clyburn, Susan Collins, Joe Courtney, Henry Cuellar, Defund the Police, Demos, Doug Ducey, elite actors, e-mailing yourself, Elliot Engel, John Fetterman, Brian Fitzpatrick, Rich Funke, Mike Garcia, Jared Golden, governing moments, happy hours, heuristics, Jim Himes, Boris Johnson, Mondaire Jones, John Katko, Brian Kemp, Alexander Lamis, Adam Laxalt, David McKinley, messaging bills, Markwayne Mullin, multi-level regression, Chris Murphy, neoliberalism, New York Times factchecks, Barack Obama, old guy Instagrams, Dr. Oz, Ron Paul, pivotal electoral voters, plastic bag bans, Jef Pollock, popularism, Predict It, Scott Pruitt, Reason Magazine, Robocop, Run for Something, Larry Sabato, SPSS, Chuck Schumer, sex scenes, simulacrums, John Stossel, terrain advantages, Title 42, Ritche Torres, Donald Trump, Nina Turner, woke staffers, Ron Wyden, YouGov, & more!

In this episode of R, D and the Inbetweens I am talking to Jamie Pei, PhD aka The Messy PhD/The Messy Coach about research, messiness and how we can challenge and subvert the academic system! Music credit: Happy Boy Theme Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/   Transcript   1 00:00:09,220 --> 00:00:13,600 Hello and welcome to RD and the in-betweens.   2 00:00:13,600 --> 00:00:26,200 I'm your host, Kelly Preece, and every fortnight I talk to a different guest about researchers, development and everything in between.   3 00:00:26,200 --> 00:00:36,130 Hello, and welcome to the latest episode of RD and the in-betweens.   4 00:00:36,130 --> 00:00:41,800 In this episode, I'm delighted to be talking to my friend and colleague Jamie Pei from the Messy Ph.D.   5 00:00:41,800 --> 00:00:46,570 Jamie delivers some training sessions on messiness in research on the Research   6 00:00:46,570 --> 00:00:53,620 Development Programme at Exeter and also provides training and coaching for Ph.D. students   7 00:00:53,620 --> 00:01:02,830 and beyond that, through life coaching. In our conversation, we talk about messiness, in research and in life,   8 00:01:02,830 --> 00:01:11,050 and how kind of acknowledging that messiness and sitting with it might subvert some of the   9 00:01:11,050 --> 00:01:17,860 typical kind of problematic cultures and approaches to academia and research in general.   10 00:01:17,860 --> 00:01:26,410 So I'm Jamie Pei. I completed my Ph.D. in women's studies from the University of York.   11 00:01:26,410 --> 00:01:36,730 It feels like such a long time ago, but I officially graduated last year and I am now a life and Ph.D. coach,   12 00:01:36,730 --> 00:01:42,910 and I also do workshops and training for postgraduate researchers.   13 00:01:42,910 --> 00:01:46,210 So I've done some training with you, Kelly, for the University of Exeter,   14 00:01:46,210 --> 00:01:53,080 which I've totally enjoyed, and I'm now working on building out my Ph.D. coaching work.   15 00:01:53,080 --> 00:02:01,720 So part of what's led us to this is that you've done some journalism training for me at the University of Exeter,   16 00:02:01,720 --> 00:02:13,330 which has been really popular and I think has really just.. because it's really resonated with the PGR community and   17 00:02:13,330 --> 00:02:22,120 particularly in the way that you approach the, kind of, the research journey and this concept of of messiness.   18 00:02:22,120 --> 00:02:25,450 And I wondered if you could sort of say a little bit about   19 00:02:25,450 --> 00:02:34,270 what this idea that like the messy PHD is and how that evolved in your thinking and in your practise?   20 00:02:34,270 --> 00:02:43,000 Yes. So I guess I'd have to go all the way back to my own Ph.D. and maybe even a little bit before that.   21 00:02:43,000 --> 00:02:48,790 So in my previous life, before coming back to academia,   22 00:02:48,790 --> 00:02:55,210 I was a journalist and my last job before coming back into my Ph.D. was in fashion journalism.   23 00:02:55,210 --> 00:03:01,420 I was working for a fashion magazine and everything there is, you know, it has to be perfect, right?   24 00:03:01,420 --> 00:03:06,550 Like, in journalism, there is no room for messiness. There's no room for mistakes, really.   25 00:03:06,550 --> 00:03:16,720 And now I was like, given this world where like no, the messiness is where all the good stuff happens, and that's where things are rich.   26 00:03:16,720 --> 00:03:22,280 That's where you get to be curious. That's where the new questions and the new ideas come up.   27 00:03:22,280 --> 00:03:29,620 And so that was the research side of it, like the messiness of the actual research.   28 00:03:29,620 --> 00:03:37,990 But the other components to messiness is about the messiness of being a human being   29 00:03:37,990 --> 00:03:42,820 doing the research. You know, there's this..   30 00:03:42,820 --> 00:03:51,580 I think there's this mistaken view that because we are highly qualified and highly educated,   31 00:03:51,580 --> 00:03:55,090 that we know the answers to everything that we've all got to have our shit together   32 00:03:55,090 --> 00:04:02,170 and knowing how to write a good thesis or do good research or be,   33 00:04:02,170 --> 00:04:09,700 you know, be really competent in the labs also means that you know how to perfectly balance your life,   34 00:04:09,700 --> 00:04:15,160 how to be productive, how to stay motivated and all that other stuff that comes with just being human.   35 00:04:15,160 --> 00:04:18,220 But that's not necessarily true.   36 00:04:18,220 --> 00:04:27,820 And so much of the Ph.D journey like my own, as well as my colleagues and all the friends that I met through the course of my Ph.D.,   37 00:04:27,820 --> 00:04:31,780 you know, most people don't struggle with the actual work, right?   38 00:04:31,780 --> 00:04:38,170 Like people know how to do the experimental, how to use SPSS or whatever it is.   39 00:04:38,170 --> 00:04:42,250 People struggle with all the other messy in-betweens.   40 00:04:42,250 --> 00:04:52,210 And that's why I sort of came up with the term messy, because it's stuff that isn't really, can't always be clearly defined,   41 00:04:52,210 --> 00:05:05,050 that there isn't always a clear roadmap too, there almost never is like formal university-led training to deal with this messiness.   42 00:05:05,050 --> 00:05:18,070 Even though that messy, that messy journey, the messy experiences are really what characterise a lot of people's doctoral journey and experience.   43 00:05:18,070 --> 00:05:19,390 And I can go into that a little bit more.   44 00:05:19,390 --> 00:05:28,540 I can talk about this forever, but really, it's things like the emotional fallout struggling with work life balance,   45 00:05:28,540 --> 00:05:39,610 the feelings of imposter syndrome, fear of failure, deep insecurity that you're not good enough and that can prevail all the way through the Ph.D.   46 00:05:39,610 --> 00:05:49,240 Overwork, the guilt that comes with doing a Ph.D. guilt in terms of always feeling like you should be working more.   47 00:05:49,240 --> 00:05:58,660 And even when you're doing perfectly normal, acceptable things like sleep or cook dinner, you're feeling guilty.   48 00:05:58,660 --> 00:06:08,050 The kind of glorification of suffering and the messiness of feeling like my Ph.D. is not worthy   49 00:06:08,050 --> 00:06:13,960 or I am not worthy unless I'm suffering and how to kind of deal with those sorts of emotions.   50 00:06:13,960 --> 00:06:22,780 So I'm not by any means a trained mental health professional or a therapist or anything like that.   51 00:06:22,780 --> 00:06:28,540 But these are things that I've worked through a lot in my own life, not just in the Ph.D.   52 00:06:28,540 --> 00:06:36,370 Beyond that as well, and is something that I started to identify a lot in the trainings that I was doing   53 00:06:36,370 --> 00:06:42,220 in the kind of peer led workshops that I was running while I was still doing my Ph.D.   54 00:06:42,220 --> 00:06:45,430 You know, people, people are coming in to trainings.   55 00:06:45,430 --> 00:06:53,530 And yes, you know, the initial concerns might be, how do I write a lit review or how do I organise my references?   56 00:06:53,530 --> 00:07:01,300 But actually given time and space and all the other messy things come up where people are like, Oh, I'm feeling like I'm behind.   57 00:07:01,300 --> 00:07:06,350 I constantly feel like I'm not good enough, and all these other things come up.   58 00:07:06,350 --> 00:07:15,760 I'm feeling really validated and reassured to have their experience represented because I think two things really stuck out for me   59 00:07:15,760 --> 00:07:18,320 on what you were saying first is that,   60 00:07:18,320 --> 00:07:26,510 You know, I often say the kind of people that end up doing a Ph.D or research degree of some kind are people that have been,   61 00:07:26,510 --> 00:07:30,740 in some sense, high achievers. Yeah, for sure.   62 00:07:30,740 --> 00:07:40,010 throughout their academic career and are perfectionists and highly critical and these are the things that make us really good at research.   63 00:07:40,010 --> 00:07:47,450 And in some ways, they make us good at research, but bad at being researchers in the sense that..   64 00:07:47,450 --> 00:07:59,360 it begets the, kind of, some of the messiness that you're talking about and the imposter syndrome and the feeling everything needs to be fixed and   65 00:07:59,360 --> 00:08:06,180 plan-able and clearly laid out, and it's just not that.   66 00:08:06,180 --> 00:08:12,710 Yeah, yeah, and it' also that discomfort with the messiness, you know,   67 00:08:12,710 --> 00:08:23,060 because we are perfectionists and we like to have full control over how things are going to turn out and how we envisage things to be   68 00:08:23,060 --> 00:08:32,690 and how we envisage ourselves to be as we're doing that research and the nature of research is that it necessarily needs to be messy,   69 00:08:32,690 --> 00:08:38,810 right? Like, if it wasn't messy, if we did know everything and we could control everything,   70 00:08:38,810 --> 00:08:45,560 and then there wouldn't be the need to do the research right? because we would already know everything.   71 00:08:45,560 --> 00:08:57,530 Yeah. So it's like learning to be OK with the fact that things are not perfect and actually to see that messiness as a resource.   72 00:08:57,530 --> 00:08:59,930 And that's something I always talk about.   73 00:08:59,930 --> 00:09:09,290 Like, I always say that the magic is in the mess, and I know that sounds like such a sort of almost like Disney-fied woowoo thing to say,   74 00:09:09,290 --> 00:09:20,270 but especially in research, you know, so much good stuff comes out of not knowing or of confusion or initial confusion.   75 00:09:20,270 --> 00:09:28,820 And, you know, the not being in full control of things because that's where your data is telling you things or, you know,   76 00:09:28,820 --> 00:09:37,100 you're struck by new methods or new ideas or perspectives that you might not otherwise have thought of if you'd followed that plan exactly   77 00:09:37,100 --> 00:09:45,450 and perfectly. Exactly, and as someone that comes from, kind of, from an artistic background,   78 00:09:45,450 --> 00:09:52,150 that kind of idea of the knowledge and the productiveness and all the good things coming from the mess really,   79 00:09:52,150 --> 00:09:59,420 really speaks to the kind of artist training in me because, you know..   80 00:09:59,420 --> 00:10:06,140 That yeah, that is how we create new knowledge and new understanding, it is from the messy and with the unknown and from the discomfort.   81 00:10:06,140 --> 00:10:17,120 But it's not something that we are trained to deal with in life, let alone in research, you know, if you think about just,   82 00:10:17,120 --> 00:10:20,880 you know, with my head on and kind of the British education system from a young age,   83 00:10:20,880 --> 00:10:27,470 you're taught to put everything in boxes and everything's kind of measurable and neat, even though it's not.   84 00:10:27,470 --> 00:10:31,490 And no wonder we get young people coming to university and, you know,   85 00:10:31,490 --> 00:10:35,630 as undergraduates and postgraduates who kind of don't know how to deal with the mess and the   86 00:10:35,630 --> 00:10:41,690 discomfort because all we've done is try to kind of teach them that the world is not like that.   87 00:10:41,690 --> 00:10:45,490 Yeah. You know, this comes also of like,   88 00:10:45,490 --> 00:11:00,040 capitalist, patriarchal, colonised cultures, right where, you know, productivity is king, success, self-made success,   89 00:11:00,040 --> 00:11:10,340 all that, the drive being productive, being successful, being entrepreneurial and all that, that is prized above everything else.   90 00:11:10,340 --> 00:11:15,010 So I think a lot of us, myself included, you know, when I talk about all this,   91 00:11:15,010 --> 00:11:19,540 I'm not talking about PGRs and Ph.D students as something separate from me.   92 00:11:19,540 --> 00:11:25,360 I absolutely went through all of this myself and I still do, like, not as a Ph.D. student now.   93 00:11:25,360 --> 00:11:32,710 It's just the bar has just moved somewhere else now that I'm starting my own online coaching stuff.   94 00:11:32,710 --> 00:11:40,870 But there's this idea that like, you know, the whole Ph.D journey rests on what you produce at the end of it, right?   95 00:11:40,870 --> 00:11:46,720 Like, everything hinges on that thesis.   96 00:11:46,720 --> 00:11:51,730 The viva. What you have produced.   97 00:11:51,730 --> 00:12:00,430 But there's something huge that my supervisor also said to me midway through my Ph.D., which was, she said, you know,   98 00:12:00,430 --> 00:12:08,950 you're not just being assessed on what you're researching, you're actually being, especially as a as a Ph.D. student.   99 00:12:08,950 --> 00:12:20,110 And we are I know that we kind of rail against the term student because we want to be sort of regarded as sort of higher up the chain or whatever.   100 00:12:20,110 --> 00:12:25,690 But ultimately, we are still students. We are in an educational programme.   101 00:12:25,690 --> 00:12:37,460 And part of that education and that assessment is, it's not just assessing what we're producing, it's assessing how we're doing that research.   102 00:12:37,460 --> 00:12:41,980 And I think that is a huge element that isn't emphasised enough.   103 00:12:41,980 --> 00:12:45,940 And, you know, I was really fortunate that my, like I said,   104 00:12:45,940 --> 00:12:56,000 my supervisor loved messiness and that kind of creative discomfort and figuring out the 'how' of doing that research throughout the process.   105 00:12:56,000 --> 00:13:04,000 So, you know, that was very much built into the way that she supervised me and guided me through those three or four years.   106 00:13:04,000 --> 00:13:10,990 But I think a lot of people don't get that, you know, everyone's just got their eye on like the final product.   107 00:13:10,990 --> 00:13:18,790 I have to produce a perfect piece of research where my results match my hypothesis or whatever,   108 00:13:18,790 --> 00:13:24,580 where I can answer my research questions perfectly and everything matches up.   109 00:13:24,580 --> 00:13:28,840 Nothing must ever go wrong because then it shows I failed as a researcher,   110 00:13:28,840 --> 00:13:35,830 but actually examiners, supervisors, they're expecting things to fail, right?   111 00:13:35,830 --> 00:13:40,780 Like, they know that research is messy. They know that research is unpredictable. Shit happens.   112 00:13:40,780 --> 00:13:45,010 There's a pandemic in the world or whatever, machinery breaks down.   113 00:13:45,010 --> 00:13:55,180 People leave things in the lab overnight and electricity goes off, whatever. And it's not, like, what happens, like, what results you get,   114 00:13:55,180 --> 00:14:03,610 what the thesis is, is not as important as how you're responding at each stage of that research,   115 00:14:03,610 --> 00:14:09,910 what you're doing, what decisions you're taking and how you're justifying those decisions.   116 00:14:09,910 --> 00:14:15,760 And that, I think, I see now now that looking back and now that I've had some distance from it, you know,   117 00:14:15,760 --> 00:14:26,740 like how you're doing the research and how you are as a researcher really is more important than what it is that you are producing.   118 00:14:26,740 --> 00:14:34,870 Does that make sense? It absolutely makes sense that it really feeds into, kind of, my approach to research development,   119 00:14:34,870 --> 00:14:38,530 which is, you know, there's the elements of, we do of research development,   120 00:14:38,530 --> 00:14:45,820 which are about developing the research and your ability to do the research, that actually the whole kind of concept behind,   121 00:14:45,820 --> 00:14:51,190 you know, research development framework is looking at the researcher in a holistic fashion.   122 00:14:51,190 --> 00:14:58,930 And I think sometimes because, you know, we're so focussed on getting students through in x number of years and all that sort of   123 00:14:58,930 --> 00:15:04,120 stuff that we forget that actually it's the researcher that we're developing.   124 00:15:04,120 --> 00:15:09,970 And I'm really reminded in what you're saying about, say, Pat Thompson from Nottingham.   125 00:15:09,970 --> 00:15:18,590 I wrote this blog post once about and it really, really stood out for me about how the thesis is a representation of the research.   126 00:15:18,590 --> 00:15:28,020 It's a narrative that you're curating for a particular audience, and it has to be   127 00:15:28,020 --> 00:15:37,370 linear and well-structured and   128 00:15:37,370 --> 00:15:44,740 you know, a kind of, Logical argument that develops and all this, all those sorts of things, but that's not what research is like.   129 00:15:44,740 --> 00:15:47,060 Yeah, yeah, absolutely. Yeah.   130 00:15:47,060 --> 00:15:57,050 At the end of it, you have to produce this document which has this linearity and coherency that the research process just does not.   131 00:15:57,050 --> 00:16:04,000 And so, you know, then the representation of the thing that we hold up at the end of it,   132 00:16:04,000 --> 00:16:10,820 that we examine, isn't necessarily the thing that's actually reflective of what the process of doing it is like,   133 00:16:10,820 --> 00:16:15,610 and I always thought that was really interesting and a really interesting way to think about writing   134 00:16:15,610 --> 00:16:18,640 your thesis is actually, you know,   135 00:16:18,640 --> 00:16:25,480 you're telling the story of you doing this research and you're constructing it for your examiner as an audience.   136 00:16:25,480 --> 00:16:33,910 Mm hmm. And so you need to kind of step away from what it felt like to do it almost and think about how to kind of look at it from the outside.   137 00:16:33,910 --> 00:16:43,470 Yeah, there is this definitely that kind of disjuncture between the living research and that process of it.   138 00:16:43,470 --> 00:16:52,960 And the telling of it, you know, in a way that's going to tick the boxes to pass the Ph.D. as well.   139 00:16:52,960 --> 00:17:04,620 And for me personally, my experience of the research couldn't really be divorced from, like, the how couldn't really be divorced from the what.   140 00:17:04,620 --> 00:17:09,480 And there was a time that I was thinking a lot about actually changing my thesis   141 00:17:09,480 --> 00:17:15,780 to be more focussed on the methodology of it and the kind of epistemology behind it,   142 00:17:15,780 --> 00:17:22,440 because researcher reflexivity and all that kind of thing was really important to me.   143 00:17:22,440 --> 00:17:32,040 And in the final version of the thesis, I think does leave out a lot that is potentially more interesting,   144 00:17:32,040 --> 00:17:40,200 I think, and more rich because it's really about how I did the research and how I grew as a researcher.   145 00:17:40,200 --> 00:17:46,480 But obviously, like, that's not necessarily what examiners want. So that's another messy thing as well.   146 00:17:46,480 --> 00:17:55,170 You know, the story that you want to tell and that you've lived through your research and what it is that you are telling your researcher?   147 00:17:55,170 --> 00:18:00,480 That's a whole other topic, though I think. And the thing is as well,   148 00:18:00,480 --> 00:18:07,770 the other thing that's part of messiness is like, I think a lot of PGRs I come across feel this that, you know,   149 00:18:07,770 --> 00:18:16,590 we feel like we're the only person in the world who doesn't know what they're doing and everybody else has their shit together.   150 00:18:16,590 --> 00:18:21,570 And I'm always saying, like, literally nobody else does any fucking clue what they're doing either.   151 00:18:21,570 --> 00:18:25,230 Everybody is just figuring it out.   152 00:18:25,230 --> 00:18:30,630 This is part of being, it's a being human thing. It's not a research thing or an academic thing.   153 00:18:30,630 --> 00:18:34,990 It's just part of being human being, right? Yeah, absolutely.   154 00:18:34,990 --> 00:18:43,150 And that's why I think the, kind of, the work that you're doing and the route that you're taking, it just really, really resonates really,   155 00:18:43,150 --> 00:18:47,880 really speaks to me in terms of my experience because it is.. what you've kind   156 00:18:47,880 --> 00:18:53,760 of ended up doing is articulating something that I feel like I've lived,   157 00:18:53,760 --> 00:19:01,550 and not really known how to pass on to people, I've talked to a little bit about my kind of,   158 00:19:01,550 --> 00:19:07,250 about my journey and the kind of intersections of my professional and personal lives.   159 00:19:07,250 --> 00:19:17,150 But yeah, just, I think the kind of, the work that you're doing, the messy Ph.D. and the intersection of research and life coaching..   160 00:19:17,150 --> 00:19:26,070 Just really speaks to what my experience has been like working in higher education, I guess.   161 00:19:26,070 --> 00:19:33,330 Yeah, I just, I kind of, and I rant about this on Twitter a lot, I say, you know,   162 00:19:33,330 --> 00:19:41,610 you could have the most perfect sweep of training and workshops for your Ph.D. community,   163 00:19:41,610 --> 00:19:48,540 like, how to write the Ph.D., you know, workshops on academic writing, on software, on data management,   164 00:19:48,540 --> 00:19:53,950 all of that, but it wouldn't matter at all.   165 00:19:53,950 --> 00:20:03,720 Like, not a single bit, if the person is a mess, you know, and what else is going on in their life is a mess.   166 00:20:03,720 --> 00:20:08,910 You know, you need to sort that out first, and in most instances,   167 00:20:08,910 --> 00:20:16,670 Ph.D. students are highly intelligent, highly capable people, like, doing the work is not the problem.   168 00:20:16,670 --> 00:20:23,900 It's everything else that is around the work that usually is the problem, right?   169 00:20:23,900 --> 00:20:32,630 And also, you know, like you say, just because you are an intelligent person doesn't mean you instinctively know how to navigate   170 00:20:32,630 --> 00:20:39,920 doing a really intense research project alongside a traumatic life event   171 00:20:39,920 --> 00:20:44,120 Yes, and not to mention all the other structural things that you're dealing with,   172 00:20:44,120 --> 00:20:55,610 like the racism and the sexism and the ableism and all that you know, that's so endemic and in-built within the academy as well.   173 00:20:55,610 --> 00:21:02,420 Yeah. And then also dealing with the messy nature of research itself, right?   174 00:21:02,420 --> 00:21:11,840 Like, things being unpredictable and dealing with data that goes wrong or pandemics and all this.   175 00:21:11,840 --> 00:21:15,650 And it's it is a huge piece of work for a lot of people that it's going to be the largest   176 00:21:15,650 --> 00:21:21,650 independently done piece of work they've done to up to that point in their life.   177 00:21:21,650 --> 00:21:31,850 And a lot of it's kind of done on your own as well. You know, you're not  necessarily working like you would in a job.   178 00:21:31,850 --> 00:21:36,290 And that's another thing. That's another part of messiness. Is that sense of loneliness, right?   179 00:21:36,290 --> 00:21:42,320 And kind of dealing with that, like how do you figure out your own feelings?   180 00:21:42,320 --> 00:21:51,410 How do you fit in with your community? So, yeah, I mean, that's something that I try and address in my coaching as well.   181 00:21:51,410 --> 00:22:00,440 One of the things that I found really palpable in my role in research development is the desire people have to come to me for the answer.   182 00:22:00,440 --> 00:22:05,000 Yeah, they want to come to training or they want to come and talk to me because they they think,   183 00:22:05,000 --> 00:22:09,440 Well, you're in this job, so you must have you must have the answer. And then they come to me and I go.   184 00:22:09,440 --> 00:22:14,230 Not only do I not have the answer, but there isn't an answer   185 00:22:14,230 --> 00:22:20,860 Yeah, yeah. And it's a really confronting experience for a lot of people.   186 00:22:20,860 --> 00:22:28,500 But why can't you? But why can't you give me the answer? I can't give you an answer that doesn't exist.   187 00:22:28,500 --> 00:22:38,750 Yeah, I feel that so much, yeah. It's really painful in the sense that, you know, people are desperate   188 00:22:38,750 --> 00:22:44,510 for you to give them the answer, not because they are incapable or any of those things,   189 00:22:44,510 --> 00:22:52,490 but because the system is kind of really rigid and really convincing them that there has to be an answer and there has to be a way.   190 00:22:52,490 --> 00:23:00,290 Then people like me swan in and go, 'no it doesn't really work like that, there isn't a way.'   191 00:23:00,290 --> 00:23:05,090 And that's exactly how it was for me as well with my supervisor, you know,   192 00:23:05,090 --> 00:23:16,340 and needing to know the right answer in a particular way and also needing to have a very rigid structure like,   193 00:23:16,340 --> 00:23:21,380 'Oh, I should be here by now, I should have attained this by now.'   194 00:23:21,380 --> 00:23:23,660 And I remember saying to my supervisor once, like,   195 00:23:23,660 --> 00:23:30,890 I basically need you to chase me around with a stick and make sure that I'm on track and like, beat me   196 00:23:30,890 --> 00:23:35,690 if I haven't submitted things on time. And she was horrified that I said that.   197 00:23:35,690 --> 00:23:41,480 And it really took me almost like two years to really, like   198 00:23:41,480 --> 00:23:48,200 It took two years for it to jig that, Oh, you know what, actually, I'm in charge of this completely.   199 00:23:48,200 --> 00:23:57,500 I get to call the shots. There isn't a particular way of doing this and only one way of doing this, and I'm actually not reporting to anyone.   200 00:23:57,500 --> 00:24:04,400 This is why it's another weird, messy space because, you know, you're not submitting work to a teacher to assess,   201 00:24:04,400 --> 00:24:07,640 so there isn't a right answer in that way.   202 00:24:07,640 --> 00:24:17,310 And up until this point, you know, in most taught degrees, there is some degree of what's the right answer or the right way of doing things.   203 00:24:17,310 --> 00:24:19,400 And then suddenly you're in this space where   204 00:24:19,400 --> 00:24:28,660 Like, actually, there's like 981 different ways that you could do this and a potentially infinite number of answers to this.   205 00:24:28,660 --> 00:24:38,870 Yes. So what we're saying is you come into a research degree and you're working with someone who's not your teacher and who's not your boss.   206 00:24:38,870 --> 00:24:45,910 Yeah. Independently for the first time. And so you've got to kind of motivate yourself in a way that you've never had   207 00:24:45,910 --> 00:24:50,950 to before, you're undertaking something where nobody has the answers for you.   208 00:24:50,950 --> 00:24:52,750 You've got to go and find them.   209 00:24:52,750 --> 00:25:04,870 You're used to things being quantifiable and linear and coherent, and things are messy, complicated and throw curve balls at you all the time.   210 00:25:04,870 --> 00:25:10,090 And whilst you're doing this, you need to navigate adulthood and life.   211 00:25:10,090 --> 00:25:14,230 Potentially, you know, if you're going through a conventional route, let's say through the system,   212 00:25:14,230 --> 00:25:20,020 you're encountering adulthood and life and life experiences that you've not had to..   213 00:25:20,020 --> 00:25:29,410 Deal with before. Regardless of when you're doing a Ph.D., you know, you've got you've got to do with life and life events and a global pandemic.   214 00:25:29,410 --> 00:25:36,920 And. Yeah, yeah.   215 00:25:36,920 --> 00:25:40,770 Yeah, it's it's a whole mash up, isn't it? It's..   216 00:25:40,770 --> 00:25:48,360 Kind of figuring out the expectations on top of all this as well, then you know, you were thrust into this community,   217 00:25:48,360 --> 00:25:57,870 which is extremely competitive and where there are already these existing narratives of what it means to work hard,   218 00:25:57,870 --> 00:26:04,140 what it means to be successful, what is considered valuable research.   219 00:26:04,140 --> 00:26:11,940 You know, these ideas that infiltrate around 'you should be working all the time' and 'working harder and more hours means you   220 00:26:11,940 --> 00:26:19,920 are a better researcher' and those kinds of horrible myths that kind of get perpetuated and re-perpetuated   221 00:26:19,920 --> 00:26:27,300 I really dislike the memes and the jokes on Twitter and on social media that poke fun at,   222 00:26:27,300 --> 00:26:33,240 like, Ph.D. is not having a life and oh, weekends, what are they? and those kinds of things   223 00:26:33,240 --> 00:26:38,610 And I get it that people need to blow off steam and and kind of make light of it.   224 00:26:38,610 --> 00:26:45,720 But inadvertently, it does also perpetuate this notion of, you know, this need to constantly work.   225 00:26:45,720 --> 00:26:50,790 And then therefore, if you're not constantly working, if you're not struggling,   226 00:26:50,790 --> 00:26:56,580 if you're actually finding your Ph.D. quite enjoyable, then there's this idea that maybe you're doing something wrong.   227 00:26:56,580 --> 00:26:58,320 So like on top of, you know,   228 00:26:58,320 --> 00:27:08,490 figuring out what it means to be a grown up in the world and surviving in the pandemic and learning a new way of working and researching and studying.   229 00:27:08,490 --> 00:27:16,800 On top of that, all of this is happening within this extremely competitive, highly pressurised environment,   230 00:27:16,800 --> 00:27:26,580 and you have to navigate that as well and set your boundaries within that space as well.   231 00:27:26,580 --> 00:27:30,240 And it's, you know, it sounds so easy, right? Like just set boundaries.   232 00:27:30,240 --> 00:27:33,390 Just say no. But what,   233 00:27:33,390 --> 00:27:41,880 What 'say no' for one person will look very different to what, you know, 'say no' is for somebody else and what those boundaries are.   234 00:27:41,880 --> 00:27:48,930 Nobody can decide them for you. You have to decide them for yourself. And that's hard to work through sometimes.   235 00:27:48,930 --> 00:27:52,740 Yeah, it's not a case of 'say yes to this, say no to that,   236 00:27:52,740 --> 00:27:57,470 say yes to this' You know, it's not a tick box exercise.   237 00:27:57,470 --> 00:28:05,860 Yes, absolutely not, and it's going to vary, you could be on the same project team in the same department with the same PI.   238 00:28:05,860 --> 00:28:18,710 And your boundaries will still look vastly different, right, from that other person. Because we are different people and our lives are different and..   239 00:28:18,710 --> 00:28:25,410 And therefore, our boundaries are always going to be different.   240 00:28:25,410 --> 00:28:32,040 Yeah, yeah, I mean, this goes for everything, right? And not just the Ph.D.   241 00:28:32,040 --> 00:28:41,790 Yeah, and that's another thing as well, you know, this tendency to compare that 'so-and-so is further ahead than me..   242 00:28:41,790 --> 00:28:48,780 they're doing better than me. They've presented at more conferences than me' and realising that like, you know,   243 00:28:48,780 --> 00:28:57,840 as well as having different life boundaries, people's research boundaries, people's research topics and how they're doing   244 00:28:57,840 --> 00:29:06,180 their research varies tremendously as well. Like, it literally is like comparing.. it's not just even comparing apples and oranges,   245 00:29:06,180 --> 00:29:10,750 it's like comparing a bowl of fruit with a packet of biscuits, right?   246 00:29:10,750 --> 00:29:13,820 Like, completely different. You know,   247 00:29:13,820 --> 00:29:22,380 and we compare ourselves using these unfair measurements and then we beat ourselves up for it when they're actually just not accurate at all.   248 00:29:22,380 --> 00:29:27,570 And then we get ourselves into more mess, right? Because then our boundaries are even more blurred.   249 00:29:27,570 --> 00:29:33,720 Yeah, exactly. And you just end up going around in these vicious circles.   250 00:29:33,720 --> 00:29:39,180 And then, you know, like we're saying earlier then that perpetuates itself amongst the people that we're   251 00:29:39,180 --> 00:29:43,710 teaching or supporting or that are just kind of looking at us as role models,   252 00:29:43,710 --> 00:29:49,430 even though we might not, you know, be intentionally kind of   253 00:29:49,430 --> 00:29:55,490 framing ourselves in that way, but looking at us and going, 'oh yeah, that's how you do it, that's that's how it's supposed to be.'   254 00:29:55,490 --> 00:30:00,870 Yeah, but even the person who looks like they know   255 00:30:00,870 --> 00:30:10,500 how it's supposed to be, has probably stumbled upon that by mistake or there's something going on behind the scenes, you know, like swans, right?   256 00:30:10,500 --> 00:30:15,680 I always think of researchers like swans, like you look like you gliding along really elegantly,   257 00:30:15,680 --> 00:30:23,580 but you're paddling like crazy under the bottom. And then everyone around you goes, 'Well, they can do it without..   258 00:30:23,580 --> 00:30:32,910 Without struggling or without it being difficult. So why can't I?' and we get into this kind of..   259 00:30:32,910 --> 00:30:34,370 Yeah.   260 00:30:34,370 --> 00:30:45,250 Yeah, that's something that I really want to try and normalise as well with my work, is to tell those stories of failure or falling flat or like..   261 00:30:45,250 --> 00:30:52,180 Exactly, I like to do in my training, I always like to do the kind of, there's always a moment where we go:   262 00:30:52,180 --> 00:30:58,000 And now we're going to learn from past Kelly's mistakes. I love that.   263 00:30:58,000 --> 00:31:05,200 And just kind of, yeah, these are all of the way, you know, because I think sometimes as well when we're doing training it,   264 00:31:05,200 --> 00:31:12,250 it does appear like we've we've got the answers and we know how things should be done and we know how, you know, it's important to take breaks.   265 00:31:12,250 --> 00:31:20,160 And I talk constantly about how important it is to take breaks, I don't take breaks, like, I'm not good at that.   266 00:31:20,160 --> 00:31:25,020 Yeah, yeah, I feel you. I still, if I am taking a break, I'm sat there feeling guilty.   267 00:31:25,020 --> 00:31:30,690 Yup, yup. The break I had today was going and hanging the washing on the line.   268 00:31:30,690 --> 00:31:36,990 That's not a break. Yeah, no, that's still doing something, isn't it?   269 00:31:36,990 --> 00:31:44,400 You know, and also, I think just because as well, just because you know how you should be doing something doesn't mean that..   270 00:31:44,400 --> 00:31:50,490 You are doing it that way, or that it's easy or that you can do it that way all of the time.   271 00:31:50,490 --> 00:31:55,380 You know, practising what you preach is actually really, really difficult.   272 00:31:55,380 --> 00:32:02,010 And so I think it's like that sense of being open about failure is really important because you're like,   273 00:32:02,010 --> 00:32:05,430 well, actually, you know, it might seem like, I know the right way.   274 00:32:05,430 --> 00:32:11,010 I know a lot of good ways of doing things.   275 00:32:11,010 --> 00:32:18,930 I know how I should approach something, or how I could, but that doesn't mean that I do it like that all the time or even at all.   276 00:32:18,930 --> 00:32:27,960 Yeah. Or you know, the reason that I teach the things that I teach is because I spent four years not doing them.   277 00:32:27,960 --> 00:32:33,420 And then now looking back, I'm like 'that's what I should have done.'   278 00:32:33,420 --> 00:32:45,200 And therefore don't, kind of, shame yourself for not doing the thing that you know is right for you.   279 00:32:45,200 --> 00:32:51,200 Don't shame yourself for getting it wrong or for..   280 00:32:51,200 --> 00:32:56,380 Sitting at a computer all day or working too late, you know.. You haven't failed.   281 00:32:56,380 --> 00:32:59,350 It's, you know, it's creating another sense of failure in a way, you know,   282 00:32:59,350 --> 00:33:07,800 you haven't failed if you don't achieve that or you don't kind of embody those principles.   283 00:33:07,800 --> 00:33:15,660 Yeah, because there is no.. to say that you failed then indicates that there is a right way of doing it, right?   284 00:33:15,660 --> 00:33:23,190 So you fail because you haven't done it the right way. But then there is no right way, right?   285 00:33:23,190 --> 00:33:28,530 And it's really kind of about figuring out what's right for you. And this is something I talk about a lot as well.   286 00:33:28,530 --> 00:33:33,510 Like finding your own work groove. That's another big thing.   287 00:33:33,510 --> 00:33:42,180 You know, a huge thing of feeling like we failed is because we feel, 'oh my goodness, I haven't worked 40 hours a week,   288 00:33:42,180 --> 00:33:54,320 I'm not at my desk from nine to five. I'm in the lab, but I only did two two hours out of the six hours I was there', whatever.   289 00:33:54,320 --> 00:34:03,290 And it's really about: it took me almost four years, I didn't really get this until maybe the very last year of my Ph.D.,   290 00:34:03,290 --> 00:34:08,300 and that is: so for the first four years I kept trying to be a morning person, right?   291 00:34:08,300 --> 00:34:17,270 So I kept saying, 'OK, I've got to be up at eight and get to my office and get a full day's worth of writing in it.'   292 00:34:17,270 --> 00:34:21,410 And every single day I'd wake up at like 11 and be like, 'Oh, I failed again.'   293 00:34:21,410 --> 00:34:26,030 Like, I didn't do the eight o'clock thing, right? And I did this for four years.   294 00:34:26,030 --> 00:34:30,920 And finally, like towards the end, I was like, You know what? I'm just not a morning person.   295 00:34:30,920 --> 00:34:37,610 My work groove is to start after 11:00, and that's OK, you know?   296 00:34:37,610 --> 00:34:43,910 And that's maybe not the right way for someone else, but it is absolutely the right way for me.   297 00:34:43,910 --> 00:34:48,110 Yeah. So then you're setting yourself up to not fail, right?   298 00:34:48,110 --> 00:34:54,470 Because you're finding out what's going to work for you and what's going to be right for you.   299 00:34:54,470 --> 00:34:59,750 Yes. I wonder if just to finish, if you could..   300 00:34:59,750 --> 00:35:07,520 If you could capture the philosophy of the messy Ph.D. and the work   301 00:35:07,520 --> 00:35:12,650 that you're doing in, like, a little soundbite or a sentence or..   302 00:35:12,650 --> 00:35:18,950 you know, whatever you want to call it, what's the core of it for you?   303 00:35:18,950 --> 00:35:28,010 If somebody listens to this podcast, which will be edited down from the hour and 45 minutes we've been talking for..   304 00:35:28,010 --> 00:35:34,400 however long this podcast ends up being, if somebody listens to the whole thing, what's the one thing that you want them to leave   305 00:35:34,400 --> 00:35:40,670 Listening to this with. I think it would be..   306 00:35:40,670 --> 00:35:46,220 And I mentioned this earlier. It's to find the magic in the mess.   307 00:35:46,220 --> 00:35:53,870 And what I mean by that is not to discard messiness, whatever that might mean for you.   308 00:35:53,870 --> 00:36:00,410 It's not to discard it or overlook it, or even to try to fix it or to gloss over it,   309 00:36:00,410 --> 00:36:07,610 but to use that messiness as a resource and to find the magic within that mess.   310 00:36:07,610 --> 00:36:13,040 There's usually something within that messiness that can tell you something helpful and creative,   311 00:36:13,040 --> 00:36:18,220 both for your research as well as for life in general.   312 00:36:18,220 --> 00:36:22,960 And that's it for this episode. Don't forget to like, rate and subscribe.   313 00:36:22,960 --> 00:36:50,063 And join me next time we'll be talking to somebody else about researchers development and everything in between.  

It's that time again…time for the Brothers to show off their tech suggestions! In this BiTs episode, we have a little bit of everything…hardware, accessory, & software…free, pricey, and even a techie way of giving to charity. And, as you watch/listen to the first part of the episode…don't panic, Alan didn't have to do the whole episode on his own. I mean, Brother in Tech doesn't really have the same ring to it…Alan's Picks:· Hunter Cavera Simple Connect Wi-Fi Fan with HomeKit (~$160 Amazon, $219 Home Depot): Smart ceiling fan that you can control (light and fan separately) with an app/voice assistant.· Letterboxd (Free, $19/year for Pro): Social media for film and movie lovers! Keep track of the movies you have watched (or want to watch), suggestions from friends, etc. And, if this sounds familiar…yes, Alan is recycling BiTs here.· BONUS PICK! Amazon Smile: Designate a portion (0.5%) your Amazon purchases to the charity of your choice.Brian's Picks:· JASP Statistics Software (Free): Open source (but regularly updated) statistical software that is a nice free replacement for SPSS.· Thule Gauntlet Sleeve/Case ($65 through Thule, $30 through B&H): Protective (semi-hard structure) sleeve/case for your laptop or tablet with compartments for charger & dongles.Your Hosts:Alan Jackson (the older Brother) is a producer of online content with Jackson Creative and survey researcher with Jackson Insight.Brian Jackson (the younger Brother) is an Associate Professor of Kinesiology at Pacific University and Consultant at Senaptec, Inc.Have any feedback for the Brothers regarding this topic (or future topics)? Visit www.Brothers-In-Tech.com or email info@themesh.tv.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Want to feel more confident in your ability to optimize survey data quality? In this Conversation, Research Rockstar instructors Kathryn Korostoff and Julie Worwa share some of the key steps professional survey researchers take to optimize data quality. Even if you are new to professional-level market research, or feel uncertain about your statistical knowledge, these topics will help amp up your research success. Topics in this conversation are also covered in more depth in Research Rockstar's eLearning courses on Quantitative Data Analysis, Questionnaire Design and SPSS. Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered in both real-time and on-demand formats, and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully-vetted market research experts, covering temporary needs due to project and resource fluctuations.   Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered in both real-time and on-demand formats, and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully-vetted market research experts, covering temporary needs due to project and resource fluctuations.   ***We believe it: Inside every market researcher, is a Research Rockstar!*** Hope you enjoy this episode of Conversations for Research Rockstars. http://www.researchrockstar.com/ Facebook - https://www.facebook.com/ResearchRockstarTraining Twitter - https://twitter.com/ResearchRocks LinkedIn - https://www.linkedin.com/company/2038750 877-Rocks10 ext 703 for Support, 701 for Sales Info@ResearchRockstar.com

Um problema grave acontece com alguns cariocas é o Falso Bom Mocismo Carioca, também conhecido como Síndrome da Praça São Salvador (SPSS). Não importa a cor política, acontece em muitos e prejudica a cidade.A SPSS é conhecida por aqueles que gostam de defender a ilegalidade no Rio de Janeiro e a desordem urbana. Camelô ilegal? Coitados, são desempregados, e esquecem que eles prejudicam o lojista, o comerciante que emprega e gera impostos. Mendigo? Coitado, não tem onde morar. Mesmo que muitos estejam tomados pela doença do crack ou cometam crimes na cidade. Obviamente, nenhum deles quer um camelô ou um mendigo em frente à sua casa. Essa hipocrisia atrapalha o crescimento da cidade e deixe o Rio entregue àqueles que não a amam.

R is the 18th level of the Latin alphabet. It represents the rhotic consonant, or the r sound. It goes back to the Greek Rho, the Phoenician Resh before that and the Egyptian rêš, which is the same name the Egyptians had for head, before that. R appears in about 7 and a half percent of the words in the English dictionary.  And R is probably the best language out there for programming around various statistical and machine learning tasks. We may use tools like Tensorflow imported to languages like python to prototype but R is incredibly performant for all the maths. And so it has become an essential piece of software for data scientists.  The R programming language was created in 1993 by two statisticians Robert Gentleman, and Ross Ihaka at the University of Auckland, New Zealand. It has since been ported to practically every operating system and is available at r-project.org. Initially called "S," the name changed to "R" to avoid a trademark issue with a commercial software package that we'll discuss in a bit. R was primarily written in C but used Fortran and since even R itself.  And there have been statistical packages since the very first computers were used for math.  IBM in fact packaged up BMDP when they first started working on the idea at UCLA Health Computing Facility. That was 1957. Then came SPSS out of the University of Chicago in 1968. And the same year, John Sall and others gave us SAS, or Statistical Analysis System) out of North Carolina State University. And those evolved from those early days through into the 80s with the advent of object oriented everything and thus got not only windowing interfaces but also extensibility, code sharing, and as we moved into the 90s, acquisition's. BMDP was acquired by SPSS who was then acquired by IBM and the products were getting more expensive but not getting a ton of key updates for the same scientific and medical communities. And so we saw the upstarts in the 80s, Data Desk and JMP and others. Tools built for windowing operating systems and in object oriented languages. We got the ability to interactively manipulate data, zoom in and spin three dimensional representations of data, and all kinds of pretty aspects. But they were not a programmers tool. S was begun in the seventies at Bell Labs and was supposed to be a statistical MATLAB, a language specifically designed for number crunching. And the statistical techniques were far beyond where SPSS and SAS had stopped. And with the breakup of Ma Bell, parts of Bell became Lucent, which sold S to Insightful Corporation who released S-PLUS and would later get bought by TIBCO. Keep in mind, Bell was testing line quality and statistics and going back to World War II employed some of the top scientists in those fields, ones who would later create large chunks of the quality movement and implementations like Six Sigma. Once S went to a standalone software company basically, it became less about the statistics and more about porting to different computers to make more money.  Private equity and portfolio conglomerates are, by nature, after improving the multiples on a line of business. But sometimes more statisticians in various feels might feel left behind. And this is where R comes into the picture. R gained popularity among statisticians because it made it easier to write complicated statistical algorithms without learning an entire programming language. Its popularity has grown significantly since then. R has been described as a cross between MATLAB and SPSS, but much faster. R was initially designed to be a language that could handle statistical analysis and other types of data mining, an offshoot of which we now call machine learning. R is also an open-source language and as with a number of other languages has plenty of packages available through a package repository - which they call CRAN (Comprehensive R Archive Network). This allows R to be used in fields outside of statistics and data science or to just get new methods to do math that doesn't belong in the main language.  There are over 18,000 packages for R. One of the more popular is ggplot2, an open-source data visualization package. data.table is another that performs programmatic data manipulation operations. dplyr provides functions designed to enable data frame manipulation in an intuitive manner. tidyr helps create tidier data. Shiny generates interactive web apps. And there are plenty of packages to make R easier, faster, and more extensible. By 2015, more than 10 million people used R every month and it's now the 13th most popular language in use. And the needs have expanded. We can drop r scripts into other programs and tools for processing. And some of the workloads are huge. This led to the development of parallel computing, specifically using MPI (Message Passing Interface).  R programming is one of the most popular languages used for statistical analysis, statistical graphics generation, and data science projects. There are other languages or tools for specific uses but it's even started being used in those.  The latest version, R 4.1.2, was released on 21/11/01. R development, as with most thriving open source solutions, is guided by a group of core developers supported by contributions from the broader community. It became popular because it provides all essential features for data mining and graphics needed for academic research and industry applications and because of the pluggable and robust and versatile nature. And projects like tensorflow and numpy and sci-kit have evolved for other languages. And there are services from companies like Amazon that can host and process assets from both, both using unstructured databases like NoSQL or using Jupyter notebooks. A Jupyter Notebook is a JSON document, following a versioned schema that contains an ordered list of input/output cells which can contain code, text (using Markdown), formulas, algorithms, plots and even media like audio or video. Project Jupyter was a spin-off of iPython but the goal was to create a language-agnostic tool where we could execute aspects in Ruby or Haskel or Python or even R. This gives us so many ways to get our data into the notebook, in batches or deep learning environments or whatever pipeline needs to be built based on an organization's stack. Especially if the notebook has a frontend based on Amazon SageMaker Notebooks, Google's Colaboratory and Microsoft's Azure Notebook. Think about this. 25% of the languages lack a rhotic consonant. Sometimes it seems like we've got languages that do everything or that we've built products that do everything. But I bet no matter the industry or focus or sub-specialty, there's still 25% more automation or instigation into our own data to be done. Because there always will be.

Tony Crescenzo is the President and Chief Executive Officer of Intelligent Waves LLC, with the overall responsibility of leading the company's strategic growth initiatives with leading-edge innovation, executive management, leadership, and expansion into new markets.Tony is a veteran of the U.S. Marine Corps. He joined the Intelligent Waves team after serving as CEO of IntelliDyne, LLC since 2013. In his tenured thirty-plus years career, Crescenzo has held strategic leadership positions at Software AG Federal Systems, CACI, and Initiate Systems. He also served as President and CEO of Inline Software, and President and CEO of Illumitek, an SPSS spin-off. Tony was the founder and CEO of Analysis Frameworks, and a Partner at the Management Consulting Firm Achievence, where he led the strategy practice for clients in the federal market.Tony is a member of the Board of Directors of the Northern Virginia Technology Council and is the Co-Chair of NVTC's Veteran's Employment Initiative Foundation. Tony is a member and Chair of the Advisory Board of the Semper Fi Fund and a member of the Virginia Board of Trustees at The Nature Conservancy.Support the show

My guest Darren Shaw, always starts with the end in mind and he has very clear goals in every aspect of his life. He is know as one the Best Breakthrough Artists in Jungle Music and is a very well known Drum and Base MC, and regularly performs to crowds of up to 10,000 people, and uses his master level psychology to continue to build his successful businesses. Topics:BBC Microcomputers (this was the one with the Owl logo, not the Acorn!)Coding games in the 1980'sEntrepreneurship at a young ageInspiring others to do what you doPsychology - specialism in anxiety and depression and the impact on distractabilityGlobal Vision in mindValue exchangeMindset of 'The End in Mind'Origami Connected worldPhotoshop - the early daysEarly Influencer - onlineImproving communication skillsRastafarian Culture - ConsciousnessData Analysis Bridge the gap between data science and data understanding with IBM's SPSS: https://www.ibm.com/uk-en/analytics/spss-statistics-software Darren: https://www.instagram.com/thedarrenshaw/https://www.thedarrenshaw.com/information/ Lou: https://www.instagram.com/loutemlett/https://www.linkedin.com/in/louisetemlett/ TECH TALKS with Lou - email signup: http://eepurl.com/hPy02L MUSIC CREDIT:ARTIST: Maleki Ram | ALBUM: The Ghost at the End of the World | TRACK: The Rushhttps://music.apple.com/gb/album/the-rush/1098113666?i=1098113677 See acast.com/privacy for privacy and opt-out information.

The January 2022 Surprise of Good Faith Estimates Requirements Curt and Katie chat about the No Surprises Act, specifically how to navigate the requirement for clinicians to provide Good Faith Estimates to clients. We talk about the impact of Good Faith Estimates on the intake process, potential complications when providing these estimates to your patients, and suggestions for how to simplify and systemize this requirement.      In this episode of the Modern Therapist's Survival Guide we talk about the No Surprises Act and the Good Faith Estimate Requirement When we heard about the planned implementation of these new requirements, we decided to dive into the legislation and articles from professional associations to understand what we actually need to do starting January 1, 2022. What is the No Surprises Act and the Good Faith Estimate (GFE) Requirement? “Some folks don't have a clear sense when they come into therapy, how long they're going to be there for.” – Katie Vernoy The goal of the No Surprises legislation is to avoid surprising patients with large medical bills There are benefits and challenges with the requirement to provide good faith estimates to our clients The Good Faith Estimate requirement is to provide the estimated cost of services (fee times number of sessions) at the beginning of treatment (if asked) and at least annually, if needed How will the Good Faith Estimate Requirement impact the Intake Process for Therapy? “These are not contracts; this is not guaranteeing the therapy is going to end after that many sessions.” – Curt Widhalm We are required to determine whether someone is hoping to get insurance reimbursement We must communicate the ability to obtain a written good faith estimate from providers We are required to estimate the number of sessions and total cost of treatment We talk about when you may need to provide a new good faith estimate (and explain changes) We provided a suggestion to start with a GFE for the intake session and then provide a second GFE after that initial session Potential Complications Curt and Katie see for Therapists Providing Good Faith Estimates The requirement for diagnosis very early in treatment The requirement for a diagnosis written on paper – both for folks who don't know or have not asked before, as well as for folks who do not want a written diagnosis Concerns related to putting forward the total cost of therapy for the year The elements of bureaucracy that could negatively impact the therapeutic relationship The No Surprises Act legislation isn't finalized and may have additional components or changes Our Suggestions to Systematize the Good Faith Estimate (GFE) Requirement for Therapists “There are certain aspects of this that I think - while onerous as far as communication with our clients - have the potential to make us actually talk with our clients about their treatment more frequently.” – Curt Widhalm Consider coordinating the timeline for updating GFEs, treatment plans, frequency of sessions, progress in treatment, and a reassessment of the sliding scale Think through how you talk about diagnosis and treatment planning ahead of time The idea to create some sort of mechanism for folks to either decline a GFE or to request an oral versus paper GFE Use recommended language to create your notice for your office as well as on your website Create your own template to simplify the process, including a boiler plate GFE for your intake Create a template for GFEs for on-going treatment Our Generous Sponsor for this episode of the Modern Therapist's Survival Guide: Simplified SEO Consulting Simplified SEO Consulting is an SEO business specifically for therapists and other mental health providers. Their team of SEO Specialists know how to get your website to the top of search engines so you get more calls from your ideal clients. They offer full SEO services and DIY trainings. These days, word of mouth referrals just isn't enough to fill your caseload. Instead, most people go to Google when they're looking for a therapist and when they start searching, you want to make sure they find you!  That's where Simplified SEO Consulting comes in. Founded and run by a private practice owner, they understand the needs of a private practice. They can help you learn to optimize your own website OR can do the optimizing for you. Visit SIMPLIFIEDSEOCONSULTING.COM/MODERNTHERAPIST to learn more and if you do decide to try your hand at optimizing your own website, you can get 20% off any of their DIY SEO Courses using the code "MODERNTHERAPIST" Resources for Modern Therapists mentioned in this Podcast Episode: We've pulled together resources mentioned in this episode and put together some handy-dandy links. Please note that some of the links below may be affiliate links, so if you purchase after clicking below, we may get a little bit of cash in our pockets. We thank you in advance! APA Article: New Billing Disclosure Requirements Take Effect in 2022 Suggested Notification Language for Good Faith Estimates Template for a Good Faith Estimate Good Faith Estimate Legislation Language from the No Surprises Act Federal Register: Requirements Related to Surprise Billing; Part II CMS.gov: Requirements Related to Surprise Billing; Part II, Interim Final Rule with comment period Relevant Episodes of MTSG Podcast: Should Private Practice Therapists Take Insurance? Make your Paperwork Meaningful   Who we are: Curt Widhalm, LMFT Curt Widhalm is in private practice in the Los Angeles area. He is the cofounder of the Therapy Reimagined conference, an Adjunct Professor at Pepperdine University and CSUN, a former Subject Matter Expert for the California Board of Behavioral Sciences, former CFO of the California Association of Marriage and Family Therapists, and a loving husband and father. He is 1/2 great person, 1/2 provocateur, and 1/2 geek, in that order. He dabbles in the dark art of making "dad jokes" and usually has a half-empty cup of coffee somewhere nearby. Learn more at: www.curtwidhalm.com Katie Vernoy, LMFT Katie Vernoy is a Licensed Marriage and Family Therapist, coach, and consultant supporting leaders, visionaries, executives, and helping professionals to create sustainable careers. Katie, with Curt, has developed workshops and a conference, Therapy Reimagined, to support therapists navigating through the modern challenges of this profession. Katie is also a former President of the California Association of Marriage and Family Therapists. In her spare time, Katie is secretly siphoning off Curt's youthful energy, so that she can take over the world. Learn more at: www.katievernoy.com A Quick Note: Our opinions are our own. We are only speaking for ourselves – except when we speak for each other, or over each other. We're working on it. Our guests are also only speaking for themselves and have their own opinions. We aren't trying to take their voice, and no one speaks for us either. Mostly because they don't want to, but hey. Stay in Touch with Curt, Katie, and the whole Therapy Reimagined #TherapyMovement: www.mtsgpodcast.com www.therapyreimagined.com https://www.facebook.com/therapyreimagined/ https://twitter.com/therapymovement https://www.instagram.com/therapyreimagined/ Consultation services with Curt Widhalm or Katie Vernoy: The Fifty-Minute Hour Connect with the Modern Therapist Community: Our Facebook Group – The Modern Therapists Group   Modern Therapist's Survival Guide Creative Credits: Voice Over by DW McCann https://www.facebook.com/McCannDW/ Music by Crystal Grooms Mangano http://www.crystalmangano.com/   Transcript for this episode of the Modern Therapist's Survival Guide podcast (Autogenerated): Curt Widhalm  00:00 This episode is brought to you by simplified SEO consulting.   Katie Vernoy  00:03 Simplified SEO consulting is an SEO business specifically for therapists and other mental health providers. Their team of SEO specialists know how to get your website to the top of search engines so you get more calls from your ideal clients. They offer full SEO services and DIY trainings.   Curt Widhalm  00:21 Stay tuned at the end of the episode for a special discount.   Announcer  00:26 You're listening to the modern therapist Survival Guide, where therapists live, breathe and practice as human beings to support you as a whole person and a therapist. Here are your hosts, Curt Widhalm and Katie Vernoy.   Curt Widhalm  00:41 Welcome back modern therapists. This is the modern therapist Survival guide. I'm Curt Widhalm with Katie Vernoy. And this is the podcast where we talk about things that affect therapists, our practices, the ways that we practice the ways that we interact with clients and stay I'm going to start by talking about back when I was in high school, I had to take chemistry class, and studying the periodic table.   Katie Vernoy  01:08 Where are you going with this?   Curt Widhalm  01:10 My favorite element at the time was tungsten because will W on its butt over time, my new favorite element is the element of surprise.   Katie Vernoy  01:26 Surprise!   Curt Widhalm  01:27 I think actually, a lot of providers are surprised at the no surprises Act, which we're actually talking about today, going into effect January 1 of 2022. And many people have been over the last couple of weeks, speculating on what this means for their practices, what actions that they need to take. And it's seeming to get to be a little bit of a game of telephone out there in therapy land when seeing everybody talk on Facebook groups and this kind of stuff. So Katie, and I have done an adequate job of diving into this. And how to   Katie Vernoy  02:10 Adequate is the right word, I think.   Curt Widhalm  02:13 So we wanted to be able to talk about the big scary aspects of this, the not so scary aspects of this, and the parts of this that are TBD, because it's not even fully out there yet. And much like the Spanish Inquisition, nobody knows when it's coming. So. So we are going to include some helpful things in our show notes, you can find those over at MCSG podcast comm. I'm sure we'll be doing a follow up episode to this a little bit later, we will also include a whole bunch of very boring and dense government regulations in those show notes as well. So that way, you know that we at least can link to other things in our show notes.   Katie Vernoy  03:09 We've already started off great, very adequate Curt, very adequate.   Curt Widhalm  03:13 Yes. So probably the best resource out there, at least as far as condensing down a bunch of   Katie Vernoy  03:22 At the type of recording.   Curt Widhalm  03:24 Yes there is an article from the American Psychological Association originally created December 10 2021, that outlines what this means for psychologists. But if you are a healthcare provider of any other status, and you are operating within your license or your credential, this article pretty much applies to you too. So we're going to go through this, we're going to add little bits here in there and also make some suggestions that aren't included in this article. And continue to listen to the show and join our Facebook group for further updates on any of the stuff that we're talking about here today as we find important stuff to share. So now, actually, to the content of the show, if you haven't left yet, but the no surprises Act was part of a broad package that was signed into law during the Trump administration. This was a bipartisan bill. And this was really to be a very consumer friendly bill that prevents patients from getting surprise billing. Now, if anybody's ever been in kind of an emergency situation before, what you'll know is that you don't get a whole lot of time to be in the hospital and ask every single provider Hey, are you in my insurance network? Is this going to be covered that it's kind of just who you And not every person who's working on you is necessarily in network, not necessarily an employee of the hospital. And so what ends up happening is that all of your your treatment stuff gets submitted to insurance companies. And then, like Spanish Inquisition, surprise, there's bills that show up in the manual. And this is generally not seen as very consumer friendly, because people don't know what's coming. Yes. Having been on the receiving ends of those kinds of treatments myself in the past. Now, I kind of like where this bill is going, being a healthcare provider, in my own little practice, not liking where this is going. Because there is a lot of regulations that are being added into this that while intended very well, for kind of emergency situations are fields a little bit different.   Katie Vernoy  06:03 Yes. And I think that for private pay providers, there can be times when folks are surprised, not by Oh, the anesthesiologist wasn't in your network. And this extra special treatment that happened because of you were under sedation, cost $27,000. But it is something where some folks don't have a clear sense when they come into therapy, how long they're going to be there for. I think, as a profession, I think we're very good at making sure someone understands the fee before they come into the first session. They know what they're going to be charged when they sit down with us. I think the part that feels both, I guess positive, but also onerous is having to say like, Hey, this is how long your treatment is going to be. This is what it's going to cost and, and giving so much information. I mean, it's it's a lot of information that you're having to provide very early in treatment to a client. And they basically will hold you to it, and then they're given information that they can hold you to it if if it does shift, too, dramatically. So I see that I see the point. But I also see that it's going to be a lot of work. Especially I think just to set it up, I think that there's a way to systematize it. And we can talk about that when we have our kind of discussion around suggestions later. But to begin, it's going to take some work.   Curt Widhalm  07:32 And so the main crux of what you're talking about here is providing clients with a good faith estimate. Yes. Before we get into what the good faith estimate is, let's talk a little bit about the intake phone call with clients. Because I think certain aspects of this, many providers are doing in one way or another where in many jurisdictions were required to discuss our fees with clients before they come into our first session. Yes, it's, you know, no surprises. It's not that they're showing up in our office, it and then all of a sudden being like, wait, what that we yeah, do provide that, usually verbally in an intake phone call, what that good faith estimate now adds to our work is in that intake phone call, we need to start having language around, are you planning to submit a claim to your insurance company for the services that you're going to receive for me, those of you who are in network with insurance companies, that's all to be determined in the future. As far as how that works with insurance companies, we're really talking to those cash paying clients, those out of network therapists, those who provide super bills, if you have a hybrid practice, half, listen to this, turn off the insurance side of your brain. But in that initial phone call, you need to ask clients, are you planning to submit this for a claim? Now, the way that most of us are already doing this is around this language Trooper bills? Hey, do you want a super bill for our services?   Katie Vernoy  09:11 And I also do "Do you want me to do courtesy billing" and actually take the reins on, you know, kind of getting insurance information and that kind of stuff? So I think those of us who are that have a sizable portion of our practices that are private pay, navigate this, but there are some clients that come in never discuss insurance. And I think that the the shift that I'm going to make us I'm going to ask that directly versus kind of allowing it to organically happen in conversation because if somebody comes says, What's your fee? I say $200. They say okay, like, I don't necessarily take that extra step. All the time about that. I mean, sometimes they'll say, you know, do you have insurance benefits? And do you want me to do courtesy billing or would you like a super bill, but I've not been diligent about For folks that don't seem interested, so at this point, we have to ask the question, we have to know about that. I don't know what we do with that information, but we just have to ask, we have to know, that's probably more of the to be determined.   Curt Widhalm  10:12 Well, so from the APA article, what we do after asking if they intend to submit a claim to their insurance is inform them, that they can get a good faith estimate of the expected charges, and that we can provide it to them in a written document if they want. And that needs to include things like a CPT codes, the the billing code for those service sessions that you're intending to do, it needs to include information about the client on it, and the anticipated number of sessions. Yeah, and I think that this is a part where I'm seeing some of the chatter in the therapist community around. Some of the conversations are well, what if people hold us to, you know, you said, this was gonna take 20 sessions, and it took 40. These are not contracts, this is not guaranteeing the therapy is going to end after that many sessions. And I suggest being clear with clients about that, that, yes, as far as I can tell from this vantage point, if you follow treatment, if things go, Well, this should take X number of sessions.   Katie Vernoy  11:27 And then I think the other piece, if you truly think it's going to be 20 sessions, I think, put down 20 sessions, if you think it's going to be longer term treatment, I think you you know, you have to do this, it needs to be a good faith estimate for the next 12 months, I think you do it as an annual or to the end of the year. And maybe you do all your good faith estimates in January. But each new year of treatment for each client, you have to do a new good faith estimate. And each time you change the fee, or the cadence of treatment, the way I'm reading it is that you need to then do a new good faith estimate. So if somebody increases the number of sessions, like they go from once a week to twice a week, or they shift from twice a month to one month, you know, like you're gonna want to adjust down. It feels onerous. And I think that there's probably a way to make this pretty streamlined if you have a form and you just are changing that number and that number. But the part up front that I get worried about is that it's supposed to have the clients diagnosis. And we're talking about an intake call where people can request these good faith estimates. And so I'm assuming you put at that point to be assessed or to be diagnosed at the first session or something like to me, it seems like some of the information requested doesn't really hold up when you're just getting a good faith estimate from a potential client.   Curt Widhalm  12:51 Sure. So I'm gonna go back two points that you made and then come to where you're talking about here.   Katie Vernoy  12:57 Okay. Okay.   Curt Widhalm  12:59 Some of us have clients who are lifers, that   Katie Vernoy  13:02 yes, they are Yes, both you and I are in that category.   Curt Widhalm  13:05 So what I intend to do with those clients is, hey, you generally come 50 weeks out of the year, here's your fee for 2022.   Katie Vernoy  13:17 Done,   Curt Widhalm  13:17 Done, there you go.   Katie Vernoy  13:19 Yeah, I think it's supposed to be in a form. But we can argue if it can be verbal, or if it has to be that whole form.   Curt Widhalm  13:27 I'll give them a form. To your second point. I wonder if the implementation for a lot of therapists is very standard going to have the first session be, actually to Bill 90791 as an actual diagnostic interview for your first session, that would have your appropriate rates, go back to our CPT code episode and hear us talk about most therapists don't actually bill for that one. Yeah. But that, I think, actually, if I step back, this whole process might actually make us follow through on things that we're supposed to be doing a little bit better if we're not having formal diagnostic first sessions, if you're concerned about putting a good faith estimate out to a client that you've talked to for about five minutes on the phone, and four minutes of them are about what a good faith estimate is that you can actually create a space to say, here's a good faith estimate of what this first diagnostic session is going to costs. And you'll get a new good faith estimates for our sessions after that session based on what comes out in that diagnostic interview.   Katie Vernoy  14:49 So, private pay providers are now going to have to act a little bit like insurance providers and diagnose in the first session and predict how much treatment is going to be needed.   Curt Widhalm  15:01 yes.   Katie Vernoy  15:03 Welcome!   Curt Widhalm  15:05 well into your other points is, if you, misjudge or if services need to continue, it's not like your relationship with the client just has to stop, you do get to provide new and updated good faith estimates   Katie Vernoy  15:22 Yes   Curt Widhalm  15:22 as anything changes, like you said, if you're going to more sessions a week, if you change your fees mid year, if any number of different things changes, potentially even diagnostics, then you're going to want to provide good faith estimates that are updated. And I would recommend that you put language on those updated ones that this replaces the previous Good Faith Estimate from whatever the previous date is.   Katie Vernoy  15:52 And it does say in the language, and I don't know if this is in the APA article or the actual legislation, but it does say that when you provide a new Good Faith Estimate, you do need to identify what is different. And so if it's, hey, everything's rolling along, same fee, same number of sessions next year, I think it's saying, this is continuing. And it's you know, there's no changes in the fees, no changes in the predicted number of sessions this year, this is for this year. I think for folks where you're changing fees, or dramatically changing the cadence of sessions, I think that would be an important thing to put and definitely like your language of this replaces the previous Good Faith Estimate. One thing I'm thinking about with this is that if you've got a niche that that generally you know, or your lifers that generally have this is how many sessions you have per year. And so maybe it's 48, or 27, or whatever it is, you know, depending on the cadence of their treatment, shifting from every other week, to once a week back to every other week to once a month, like assuming you're kind of still in that number of sessions per year, I think you probably are fine. Changing fees, definitely a good faith estimate. But like if you've said, This is what you're what we were looking at this year. I think that could I think that could work. What do you think?   Curt Widhalm  17:15 I'm not a lawyer?   Katie Vernoy  17:18 Yes, nor am I.   Curt Widhalm  17:21 It's probable, and, you know, any challenges to this are still to be determined. This is all, you know, this is what regulations are going into effect. The HHS has not you know, had any opportunities to enforce any things yet. So we'll wait for somebody to get punished, and then we'll be able to tell you what they're doing. But realistically, it seems like a good faith estimate is exactly that. It's good faith that Yes. Hey, you know, you typically come to three out of four sessions a month, in case you come to more, you know, some months you do make a ball. So good faith, I'm going to put that you're gonna make all of the sessions over the next like five months. And we can evaluate at that point, you know, what's needing to be changed. There are certain aspects of this that I think well onerous, as far as communication with our clients have the potential to make us actually talk with our clients about their treatment more frequently? Yeah. And I think that that's part of what's scary to a lot of therapists is that clients are gonna see, I spend how much on therapy each   Katie Vernoy  18:40 year? I know, that's the part that I'm like, oh, yeah, that's gonna be rough. Most people don't want to think about it.   Curt Widhalm  18:49 I could buy several cars for this. Right? I think if you know, you're not wanting to sticker shock your clients on January 1 With, here's your good faith estimate of 50 sessions at $100 per session, or 200, or 300, whatever your fee is, yeah, that they can see some therapists breaking it down and say, Alright, here's only six months of anticipated treatment. And I'll just put out a new good faith estimate when that one runs out. But I think that that makes us be able to talk about clients progress, as far as what do you think that you need is continued services going forward and to actually review your treatment plans with them more frequently?   Katie Vernoy  19:37 Yeah, I think it's actually a good process to to align this with a treatment plan. I think process wise, I see it as being something like every January 1, I put out my good faith estimate. But I think there's an element to that where, you know, someone coming in in December and then giving a new one to them. January feels silly. So but I do think talking to folks at their treatment plan anniversary, or every six months or whatever your timeline is, and then talking about cadence talking about, you know, how they're feeling, you know, what they're thinking about. I think that's a good process. And I know when I was working in community mental health that was, you know, like, you talked about termination. From the beginning, you know, and I feel differently in private practice, like you might a lot of my clients are lifers, but I think it is, it's really easy to get complacent, when you're just kind of meeting every week, and you're not actually taking the time to look at what are we actually working on? What are you getting from this? You know, what is your financial situation compared to what we're talking about? I mean, for folks that do sliding scale, this could also be an opportunity to SPSS sliding scale and saying, okay, you know, my fee is going to be x January 1, and, you know, this is what you've been paying, you know, is that still appropriate? Are you able to increase towards the, you know, can you decrease the subsidy, so to speak, you know, like, you can have those conversations, it's just a money conversation that a lot of people don't like to have. And so I think this kind of thoughtful, you know, kind of transparent conversation about number of sessions length of treatment, Cadence. And money is important and needed, but pretty uncomfortable for a lot of folks   Curt Widhalm  21:27 being the optimist that I occasionally am, that I think that there are some providers out there, especially when it comes to things like sliding scales, who don't know how to bring the conversations back of, yeah, hey, you got a job. And now you can afford the fee that we had agreed upon before. This does provides those clinicians with an opportunity to have a better touch point, as far as renegotiating some of those sliding scale things.   Katie Vernoy  22:01 It's a natural benchmark. I think the other thing that is interesting on what's being required in these good faith estimates is the client diagnosis. We mentioned it kind of like, you know, do the diagnostic session separate and then a good faith estimate for ongoing treatment. But for some of my clients, they may never see their diagnosis unless I do this, right. And so for folks that don't do super bills, or don't talk about it, don't request their records. And so I think that's another thing for folks, you know, before they provide their first Good Faith Estimate, you may want to be ready to have that conversation because it does show up on the billing, or does show up on this form. And so being able to make sure that your clients understand how you diagnose why you've diagnosed, what you've diagnosed, and what it means how it's impacting treatment or not, it does mean that we need to diagnose our clients. And I think some folks are unlikely to do so when they're completely private pay.   Curt Widhalm  23:06 And I think for people who provide super bills, if this worries you, you're already doing this. It's just you're now with the potential of a more explicit conversation with your clients. And helping clients as Katie just mentioned, to understand what this process is. And, again, this is all very good spirited as far as being consumer friendly. And that's, you know, where it does put some of these onerous things on our behalf. But I think it has the potential because of all of these extra contact points in talking about treatment, and talking about monies impact on treatment, that clients are going to get better outcomes, which maybe I was gonna say if clients get better outcomes, that's good for you as the therapist.   Katie Vernoy  24:02 Sure, sure. I think there's, there's, there's an element of this that feels very paperwork and could take away from the relationship, you know, like, if you have to explain a tough diagnosis that that, you know, wasn't something that was in the regular conversation that can that can impact the relationship. If you have to really dig deeply into some of this. I think it's life. I think it's it's therapy, it's good therapy, but I don't know that it's necessarily I'm not going to just, you know, rainbows and sunshine about like, hey, you need to do this, because I don't know, I think that there are ways that you can make a benefit your client, I don't know that it's necessarily designed to benefit outcomes. The thing I was thinking about, which is an open question, there are folks who do not take insurance because they don't want a diagnosis and they don't want to have anything on record around diagnosis, whether it's based on their job, whatever some reason, they don't want to have a diagnosis. My assumption I'm not reading anything in here that you have to have a full DSM diagnosis, you could do a V code, you could do something that was subclinical. Is that how you're reading it? Or is this an open question where we have to determine like if people want to refuse a good faith estimate, written in good faith estimate? Are we allowed to do so?   Curt Widhalm  25:18 So for those people who are not in network, and if you know, the diagnosis question is a thing. If people, you still have the obligation to ask people, if they are planning on submitting their claims to their insurance company, sure, sure. If they are, you're still required to provide the proper diagnosis to them, you're not not just one that is reimbursable. And so if you are treating somebody for a Z code, if you are treating somebody for something that is traditionally not reimbursed, that is still the diagnostic code that you're supposed to put on there, that has not changed that is already in place. And if you're not doing that, that's insurance fraud. Spanish Inquisition is coming after you.   Katie Vernoy  26:07 Okay, so you didn't answer my question. But all of what I said, What you said was, I agree to if someone does not want to submit any claims to insurance, doesn't want a super bill barely wants a record? Can they decline one of these good faith estimates?   Curt Widhalm  26:24 Absolutely.   Katie Vernoy  26:25 So that they don't have any diagnosis on any paper anywhere?   Curt Widhalm  26:30 Absolutely.   Katie Vernoy  26:31 Okay.   Curt Widhalm  26:33 You as the clinician still need to chart your treatment plans and what it's based on and all that kind of stuff, whether your clients want a good faith estimate or not?   Katie Vernoy  26:42 Are we required to diagnose a client?   Curt Widhalm  26:44 you need to have a reason for treatment, and you need to have a treatment plan that is based on something other than a client just showing up? And you started a session with? Where do you want to start today and ending it with? You're where you need to be? That?   Katie Vernoy  27:03 That may be a whole other conversation. But   Curt Widhalm  27:05 I mean, that that is acting within the scope of your license that   Katie Vernoy  27:08 Sure, sure. So we can have a conversation about diagnosis, but from what you're reading, we could either put a non clinical DSM code and for this Good Faith Estimate, or someone could decline it if they don't want to have a piece of paper with their diagnosis on it.   Curt Widhalm  27:28 Sure, yeah.   Katie Vernoy  27:30 So we may also, at some point, need to put together a, I am declining a Good Faith Estimate form that people sign,   Curt Widhalm  27:38 you know, that's a great idea. You know, it's not like a subpoena where you have to, like, throw it at a client if they're running away from you. Anyway, there are   Katie Vernoy  27:50 Oe I would prefer for an oral, Good Faith Estimate versus a written faith, Good Faith Estimate. I think these are the things that are kind of the to be determined, we'll wait and see if anybody gets sued or or in trouble. But I think there are probably some some reasons why these would not be customer friendly, or consumer friendly, right, is all I'm saying. So we'll we'll table that for now.   Curt Widhalm  28:14 So there are some other requirements that I think are important for everyone to be aware of. You have to prominently post that clients can and are entitled to a good faith estimates. And this needs to be put on your website. It needs to be prominently displayed in your office. I'm I'm on Amazon right now, ordering one of those neon like scrolling things, just put it up behind me in session.   Katie Vernoy  28:46 Oh, that sounds awful.   Curt Widhalm  28:50 Or really just posting a paper a piece of paper that says you're entitled to a good faith estimates.   Katie Vernoy  28:57 And the APA article has both samples of the good faith estimate itself as well as notice the language for the notice. And it has instructions on it. Well, we'll link to those in the show notes. But I think it is big enough that it might be not quite a poster, but still a piece of paper on your wall. And then for your website. I think my suggestion What if you have a section on fees, this may be a reason to post your fees on your website. People have different feelings about it. And I think that would be the appropriate place to have it listed. is in that that section of your website.   Curt Widhalm  29:36 To be clear. You don't need to put on your website. Just a general I expect people's treatment to last 25 sessions   Katie Vernoy  29:46 No   Curt Widhalm  29:47 the language that you need to put out there is   Katie Vernoy  29:51 You can request a good faith estimate.   Curt Widhalm  29:52 Yes, exactly.   Katie Vernoy  29:54 And that's in that APA article. I think the other thing that I was starting to get to get in the weeds and I think this is is more kind of standing questions that will be to be seen. There are a difference between convening providers, which is the person providing the primary service and CO providers, from what I can read the convening provider is the person who has been asked for this good faith estimate. And maybe it's a primary provider, maybe it's just the person they thought to ask. And if there are co providers who are providing treatment with you for the identified patient. So for example, you've got a an eating disorder treatment group that, you know, you've got different folks either in your group practice, or that you do a lot of work with, you may end up having to put together kind of this full package of good faith estimates where everybody's services are on there. I think that's a little bit more detailed than we need to get for today's conversation, I think typically, you're just going to be doing your own services. But for folks who have group practices that maybe share an identified patient with another provider, or have a little complexity, you probably are going to want to reach out to your professional association or legal counsel to identify how best to take care of those good faith estimates is my opinion.   Curt Widhalm  31:10 Yes. If this sounds like a lot of extra steps, you're right. And some of the things that I'm seeing across the healthcare industry is that this does impact smaller businesses a lot more than group practices and agencies, because it is a lot of extra steps and does have time deadlines that oftentimes you're going to need to provide this in writing to clients who want it within one business day. And if you have a very, very busy schedule, this is something that you're going to deed to accommodate, you're going to have to get these systems in place. And you know, our friends over at simple practice that we've seen some chatter in the simple practice community requesting that some of this stuff be added to their platform, I hope that a lot of the EHR systems, we'll be addressing this so that way, it does help to streamline these things. But this is stuff that whether you like it or not, it's here. And, you know, we're trying to give you just a even if this is a, hey, I have to go and look at this stuff. And I need to make some changes now go and make those changes, because this is things that our world is changing, we have to adjust to as providers and our clients are going to be overall probably better for it even if that means that we're not.   Katie Vernoy  32:47 So I want to just before we close up, I want to talk through what I see as a potential path to try to make this as efficient as possible. And so I'm stealing one of your ideas, and then putting together the rest. So I think what   Curt Widhalm  33:00 your plan is everybody quits and go find retirement early on some cheaper cost of living base.   Katie Vernoy  33:09 No, everybody become coaches... Um, no, the plan is, I really like this idea of having a boilerplate, good faith estimate for your diagnostic session. So your 90791 I think the difficulty unless there is like some sort of a form created in your electronic health record, you may have to create this separately, but putting together that good faith estimate. So it is sent over with all of your intake paperwork. And it's part of the the process. So this is the fee, this is the service. I think that the nuance and you can have all of your information, the nuance is the clients name and those types of things. And so I'm going to look in simple practice myself to see if I can figure out a way to do it if if they don't fix that themselves, or don't put that together themselves. But I think even creating, you know, a form that you can upload and send to them where you can, you know, kind of do that that becomes with your intake paperwork, it goes out immediately you're in compliance. I think the next stage is having that good faith estimate that is for ongoing treatment, has all of your information already in place has all of the services and fees in place and then it goes into you know, there's a little bit that you have to fill out for each client that has their information, their diagnosis, and then the number the expected number of sessions, and that goes out after the first session.   Curt Widhalm  34:43 I think it's brilliant, until they change things and that's addressed. In some future episodes. We do know that there is language that is written into this no surprises act that even four out of network therapists might be needing to submit some of this paperwork directly to a client's health insurance company. That part of the law or the regulations has not yet been written. We just know that it's coming. It's reserved in there. And that's what some of the future languages for your member professional association, check out any guidance that they have, as those regulations continue to roll out, we will almost guaranteeing an episode in the future on what that means, especially for those of us who aren't used to talking with insurance companies and what kind of mean now, so we kind of want to hear you lamenting these kinds of things. I can share your thoughts with that in our Facebook group, the modern therapist group, and share it with us on our social media. We'll include links to all of that in our show notes. And until next time, I'm Curt Widhalm with Katie Vernoy.   Katie Vernoy  36:02 Thanks again to our sponsors simplified SEO consulting.   Curt Widhalm  36:05 These days, word of mouth referrals just aren't enough to fill your caseload. Instead, most people go to Google when they're looking for therapists. And when they start searching, you want to make sure they find you. That's where Simplified SEO consulting comes in. It's founded and run by a private practice owner who understands the needs of a private practice, and they can help you learn to optimize your own website or they can do the optimizing for you.   Katie Vernoy  36:29 Visit SimplifiedSEOconsulting.com/moderntherapist to learn more. And if you do decide to try your hand at optimizing your own website, you can get 20% off any of their DIY SEO courses using the code MODERNTHERAPIST. Once again, visit simplified Seo consulting.com/moderntherapist and use the code modern therapist all caps.   Announcer  36:54 Thank you for listening to the modern therapist Survival Guide. Learn more about who we are and what we do at mtsgpodcast.com. You can also join us on Facebook and Twitter. And please don't forget to subscribe so you don't miss any of our episodes.    

सुनिए कनिष्क गुप्ता की प्रेरक कहानी। दिल्ली में जन्में कनिष्क ने अपना बचपन भी दिल्ली में रहकर ही बिताया। अगर बात करें इनकी शैक्षणिक योग्यताओं की तो आपको बतादें कनिष्क ने विवेकानंद इंस्टीट्यूट ऑफ प्रोफेशनल स्टडीज से बीबीए किया। बिज़नेस के अलावा, इन्होंने डेटा एनालिसिस के क्षेत्र में कदम रखा, जिसका उपयोग व्यवसाय में किया जाता है। यह थोड़ा टेक्निकल था, इसलिए कनिष्क ने फ्रांस से डेटा एनालिसिस करने का फैसला किया। हालांकि यह सफर कनिष्क के लिए आसान नहीं था। कनिष्क के लिए पहली उपलब्धि इनके द्वारा किया गया रिसर्च था। रिसर्च पेपर लिखना कोई आसान काम नहीं था, लेकिन फिर भी अपने कुछ प्रोफेसरों की मदद से इन्हें इस काम में सफलता मिली। यह अंतरराष्ट्रीय पत्रिकाओं में भी प्रकाशित हुआ, जिसे स्कूपर्स, एबीडीसी कॉर्पोरेशन द्वारा रैंक किया गया था और इस उपलब्धि ने कनिष्क को अनुसंधान और विश्लेषणात्मक कौशल के मामले में पहचान दिलाई। कनिष्क का मानना है कि विदेश जाकर पढ़ना भी एक बड़ी उपलब्धि के समान ही था। इस दौरान उन्हें अपने बारे में, नई संस्कृति के बारे में, और एमबीए के एक नए क्षेत्र के बारे में और अधिक जानने को मिला। आपको बतादें कनिष्क एक ऐसे शख्स है जो ये मानते है कि यदि व्यक्ति खुद पर भरोसा रखते हुए, अपने लक्ष्य के प्रति दृढ़ रहते हुए आगे बढे तो निश्चित ही उसे सफलता मिलेगी। यही इनकी सफलता का भी मूल मन्त्र है जिसे फॉलो करते हुए ही ये जीवन में आगे बढ़ रहे है। पूरी कहानी पढ़ें: https://stories.workmob.com/kanishk-gupta-technologyवर्कमोब द्वारा #मेरीकहानी कार्यक्रम के माध्यम से एक नयी पहल शुरू की गयी है जिसके ज़रिये हर कोई छोटे बड़े बिज़नेस ओनर्स अपनी प्रेरक कहानियों को यहाँ सभी के साथ साझा कर सकते है। क्योंकि हर शख्स की कहानी में है वो बात जो जीवन को बदलकर एक नयी दिशा दिखाएगी, और ज़िन्दगी में ले आएगी आशा की एक नयी चमकती किरण। #प्रेरककहानियाँ #कनिष्कगुप्ता #शैक्षणिक #विवेकानंदइंस्टीट्यूटऑफप्रोफेशनलस्टडीज #बीबीए #बिज़नेस #डेटाएनालिसिस #रिसर्चजानिए वर्कमोब के बारे में: जुड़िये वर्कमोब पर - ये है भारत का अपना एक प्रोफेशनल सोशल नेटवर्क। जोश और जुनून से भरी प्रेरणादायक कहानियां देखिये। मजेदार प्रतियोगिताएं खेलिए, उनका हिस्सा बने, लाइव जुड़िये, और भी बहुत कुछ पाए वर्कमोब पर । यह सौ प्रतिशत बिलकुल मुफ्त है। जाइये इस लिंक पर - https://stories.workmob.com और देखें ढेर सारी प्रेरक कहानियाँ। हमारे ऐप्प को डाउनलोड करें: Android: https://play.google.com/store/apps/details?id=com.workmob iOS: https://apps.apple.com/in/app/workmob/id901802570

Listen in as your hosts Just Nate and DK are down in Albuquerque, NM attending the New Space New Mexico T5. T5 is their Third Thirsty Thursday Tech Talks. This event happens every 3rd Thursday of every month. Great networking, great food and great drinks. The Smalls was invited to come down and set up a booth to record some podcasts during the event. During this podcast (Part 2 of the T5) your hosts talk to two people that work at New Space NM. We sit down with Erika Hecht and Merridith Ingram. For over 20 years, Founder Erika Woldman Hecht has been solving business strategy and marketing problems and helping companies grow smarter, faster, and better. She has taken her experience and packaged it into a proprietary process that saves clients time while putting them on a direct path to achieving desired outcomes. Erika's experience includes consulting full-time for IBM; running marketing and worldwide business development at a regionally accredited online university; working in senior roles at award-winning advertising agencies; and serving in multiple senior marketing roles at SPSS, a pioneer and global leader in predictive analytics. During her tenure at SPSS, Erika held responsibilities for the desktop, emerging technologies, and enterprise solutions businesses. Erika is a proponent of integrated sales and marketing and she has won awards from both sales and marketing leaders. Erika often sits at the intersection of business strategy, marketing, and sales while serving the needs of buyers. Passionate about education, Erika is a life-long learner and volunteers as programming director for her local chapter of the American Marketing Association to further the development of marketing professionals with the latest advances and thinking in the field. Whether taking buyers or learners on a journey with a brand, Erika is focused on delivering strategies, programs, and experiences that use the best inputs and processes to create the best outcomes. Erika's Market Ascent company website is located: https://marketascent.com/ Merridith has 18 years of experience leading agency account teams in the development and implementation of corporate, brand and product communications and marketing campaigns for financial services and technology clients, including Microsoft, Intuit, Capital One and Philips. As a former Dow Jones journalist, she specializes in messaging, positioning, content strategy/development and social media strategy. Most recently, she led a research project for Microsoft's Government Cloud division to identify the best channels to reach technology decision-makers at the federal, state and local levels. She also leads PR efforts for the Internet Society centered on technology policy and history. Prior to co-founding 66 + Co, Merridith was a vice president in the Global Consumer Marketing and Technology practices at Manning, Selvage & Lee (now MSLGroup Americas), and led financial media relations efforts for technology startups at Morgen-Walke (now FTI Consulting). After 20 years in New York and London, Merridith recently relocated to Santa Fe, where she spent childhood summers. Merridith's website is: www.66and.co To find out more about New Space New Mexico follow them on their website: www.newspacenm.org, you can also follow them on Linkedin and on their Instagram page and even on their Twitter space. --- Send in a voice message: https://anchor.fm/thesmalls/message Support this podcast: https://anchor.fm/thesmalls/support

Welcome to another exciting and informative episode of the Dara Gurus podcast! Sima is excited to have Katie Gross as her guest for today's podcast! Katie is the Chief Customer Officer at Suzy. In this episode, Katie discusses her background. She also shares her secret to being a successful woman and talks about what Suzy is doing to help and empower companies. Humble beginnings Katie grew up in Plymouth, England. Her mother wanted Katie and her siblings to have everything she did not have, so she insisted that all her children had the best education possible. Meeting different people Katie met people from different places and different walks of life when she was at university. Being surrounded by smart and ambitious people opened her eyes to exciting new possibilities for the future. Entering the market research space Katie got into the market research space partly by choice and partly accidentally. She studied psychology and criminal justice at university and came out of that with an SPSS skill set. She joined a food and beverage company in the UK that dealt primarily with Italian private label products in UK grocery stores. Then she moved to London and worked for Mintel on their consultancy team. Moving to sales Katie started working for Mintel as a researcher and later moved into a sales position, which she loved. Having come from a similar role in market research, she was genuinely curious about what her clients were using and how they were doing things. That made it easy for her to come up with solutions to help her clients operate better, faster, and in a more educated way. Staying in sales Initially, Katie thought she would only stay in sales long enough to pay off her student debt. However, she remained there when she finally realized how much she loved being in a sales role. A natural fit At the time, sales was mostly a hybrid of selling to new companies and renewing current clients. Since then, sales in most companies have been separated into sales and customer success. So it felt like a natural fit for Katie to have managed a combination of sales and customer success teams throughout her journey. Managing Katie enjoys helping to shape and mold the people she manages. She also loves to see them succeed. Moving to the USA Ten years ago, Mintel opened a new division in the USA. So they asked Katie to move there. A successful woman Katie wants to be a strong leader for both men and women. Her secret to being a successful woman is not allowing herself to dwell on the negative and sexist comments and helping those around her to do the same. At Suzy, there is a “Women at Suzy” group. The women also support each other. Suzy Suzy is different in that it owns a panel of its own. They are solving to eradicate the need for overlapping technologies in a fragmented market by moving everything into one place. A platform Suzy has created a platform where qualitative and quantitative can be integrated and run quickly and seamlessly with the same respondents. Two kinds of teams Some company's teams are getting empowered on their new journey of agile research by having a playbook and being educated around their new kind of responsibility. The more cumbersome bits are getting automated, giving them more time to be creative. Other companies, however, tend to buy a tool like Suzy's but do not know how to utilize it because they have never worked in an agile way before. Empowering Suzy is helping companies understand that they are there to help them automate and do things faster, and their tool will empower their teams rather than take away their roles and responsibilities. Links: Email me your thoughts! Sima@Infinity-2.com LinkedIn Twitter Suzy

If you do survey research, should you learn SPSS? What if you have colleagues who normally do the data analysis for you, might it still be worthwhile for you, as a market research professional, to learn SPSS? The answer is, “it depends.” Here's a short Conversation or those of you who have been debating it. Not all survey researchers need to learn SPSS, but it is a worth consideration in specific situations discussed herein. For information on SPSS Training for survey researchers, please visit: https://training.researchrockstar.com/courses/Introduction-to-SPSS

Dr. Kim Patten has been on the top of my must-have guest list since I started Ramble by the River. In the world of aquatic invasive species, Dr. Kim Patten is a rockstar, and somehow, we got him to sit down in the crab-shed to share a few of the secrets of his success. He tells the story of his life; from his humble beginnings as a learning-disabled child on the ski slopes of Mammoth Lakes, California, through his controversial and highly-productive research career at Washington State University, to his recent retirement and the transition into grandparenthood and novice rowing. We talked about the huge impact that Dr. Patten has had on the Willapa Bay, local politics, and in my life. After giving me my first job in natural resources in 2005, Dr. Patten has been a mentor, a role model and my most-trusted advisor ever since. I owe my career to him and he has contributed so much to my view of what a good man should be like. I love him and I think you will too. Thank you for listening! To support Ramble by the River please visit... Patreon.com/ramblebytheriver Topics/Keywords: Kombucha; running; Olympic runners; learning disorders; Dyslexia; Dyscalculia; introversion; University of California Berkeley; UC Davis; Washington State University; grand-parenting; Texas A&M; Texas culture; culture shock; Arcata, CA; Portland, OR; homelessness; charitable giving; Climate Change; ecology; wildfires; sociology; Bill Gates; Covid-19; Spartina; Willapa Bay; WSU extension; Monsanto; Bayer; glyphosate; Sen. Sid Snyder; land-grant universities; aquatic weed management, cranberries; cranberry farming; Willapa National Wildlife Refuge; The Nature Conservancy; Olympic National Resource Center; plant morphology; invasive species; Western Fly-way; burrowing shrimp; ghost shrimp; carbaryl; cost/benefit analysis; caffeine; Washington State Department of Agriculture; rowing; sculling; 3D printing; Leadbetter Point State Park; gorse; Ulex Europeaus; fire; New Zeland; Bray Head; Bandon, Oregon; Goat Rocks; Mt. Rainier; wildflowers; bees; native bees; bombas melanopygus; bombas mixtus; mushrooms; boletus; golden chanterelles; Indian heavens wilderness; king boletes; boletus edulus; rabbit road; dopamine; Columbia Land Trust; Jug Lake; Gifford Pinchot National Forest; Patreon.com; Harvard longevity study; friendship; telomeres; Blue Zones; machismo; pickle ball; tendonitis; Platelet-rich plasma (PRP); stem cells; healing; physical-therapy; collagen; mitochondria; risk-perception; confirmation bias; unconscious mind; fallacies of logic; statistics; SAS, SPSS; Microsoft Excel; statistics; probability; String theory; quantum gravity; multiverse; Schrödinger's cat; Seasonal Affective Disorder; sun exposure; skin cancer; melanoma; glyphosate; Round up; The Home Depot; gut; microbiome; fecal colony transplant; 23andMe; genetics; Alzheimer's Disease; Parkinson's Disease; free will. Ramble by the River Links: Join the Ram-fam. Subscribe today for exclusive access... Patreon.com/Ramblebytheriver Facebook: https://www.facebook.com/jeff.nesbitt.9619 (https://www.facebook.com/jeff.nesbitt.9619) Instagram: https://instagram.com/ramblebytheriver?r=nametag (@ramblebytheriver) Twitter: @RambleRiverPod Youtube: https://youtube.com/channel/UCNiZ9OBYRxF3fJ4XcsDxLeg (https://youtube.com/channel/UCNiZ9OBYRxF3fJ4XcsDxLeg) Business inquiries/guest booking: Ramblebytheriver@gmail.com Website: (For episode catalogue): https://my.captivate.fm/Ramblebytheriver.captivate.fm (Ramblebytheriver.captivate.fm) (Podcast main website): https://my.captivate.fm/RamblebytheRiver.com (RamblebytheRiver.com) Music Credit(s): Still Fly, Revel Day. Be My Remedy, House of Say Read about Dr. Patten's Lifetime Achievement Award... https://news.wsu.edu/2019/03/12/lifetime-achievement-award-caps-extension-scientists-career/ (https://news.wsu.edu/2019/03/12/lifetime-achievement-award-caps-extension-scientists-career/) #keepramblin

Sotaques, SPSS e dissociação. --- Send in a voice message: https://anchor.fm/ana-catarina-bento/message

Najbardziej uniwersalne zasady korzystania z przyrody znajdują się w zasadach etyki outdoorowej Leave No Trace. To reguły postępowania, które KAŻDY z nas powinien wcielić w życie.Chcesz z nami porozmawiać? Dołącz do naszej społeczności na Facebooku - zapraszamy do grupy Między Drzewami Podcast: https://www.facebook.com/groups/200577924563446Gościem podcastu jest dr Przemysław Płoskonka, współzałożyciel i wiceprezes Stowarzyszenia Polska Szkoła Surwiwalu, a także trener etyki outdoorowej odpowiedzialny za wdrażanie projektu Leave No Trace (LNT) na terenie Polski. W rozmowie z Pauliną Król opowiada, w jaki sposób powstała idea LNT i jak ją można zaadaptować do naszych warunków. Zasady Leave No Trace [Nie Zostawiaj Śladu]:1. Odpowiednio planuj 2. Podróżuj i biwakuj na określonym terenie3. Pozbywaj się odpadów w odpowiedni sposób4. Zostaw to, co znajdziesz5. Minimalizuj wpływ ognia6. Szanuj dzikie zwierzęta7. Pamiętaj o innychPamiętaj, by każdorazowo zadbać o WŁASNE bezpieczeństwo. Więc weź ze sobą apteczkę, naładowany telefon + powerbank, powiedz rodzinie czy przyjaciołom, dokąd się wybierasz. Dobrze jest też mieć ze sobą "analogową", papierową mapę - telefony z internetem są super, ale w razie awarii będziesz przygotowany/a.Wydrukuj sobie tę listę: https://www.lasy.gov.pl/pl/informacje/infografiki/nie-tylko-wakacyjny-lesny-niezbednik i zadbaj o to, by skwapliwie wypełnić każdy punkt.Dowiedz się więcej:- posłuchaj rozmowy z Sergiuszem Boreckim i Anną Pikus pt. "Sztuka zaradności": https://www.lasy.gov.pl/pl/informacje/kampanie_i_akcje/miedzy-drzewami/24-sztuka-zaradnosci-o-surwiwalu-i-bushcrafcie-gosc-anna-pikus-sergiusz-borecki- więcej o etyce outdoorowej: https://surwiwal.edu.pl/siedem-zasad-leave-no-trace-etyka-outdoorowa/- Oblicza Lasów z Adamem Gełdonem o LNT: https://www.lasy.gov.pl/pl/wideo/echa-lesne-tv/wideo/nie-zostawiaj-sladow-w-lesie-czyli-leave-no-trace-oblicza-lasow-106- posłuchaj, jak uniknąć mandatu w lesie w podcaście z Tomaszem Esmanem i Agnieszką Macurą: https://www.lasy.gov.pl/pl/informacje/kampanie_i_akcje/miedzy-drzewami/49-siedem-zasad-dzieki-ktorym-unikniesz-mandatu - pobierz książkę "Leśny survival" w pdf [za darmo!]: https://www.lasy.gov.pl/pl/informacje/publikacje/do-poczytania/survival/lesny_survival-1.pdf- Stowarzyszenie Polska Szkoła Surwiwalu: https://surwiwal.edu.pl/- SPSS na Facebooku: https://www.facebook.com/SPSSurwiwalu Nowe odcinki podcastu „Między Drzewami" są publikowane w każdy czwartek o 19:00 na YouTube na kanale Lasów Państwowych oraz we wszystkich serwisach streamingowych z podcastami (Spotify, Google Podcasts, Deezer, Apple Podcasts, iTunes, Lecton, EmpikGo, Spreaker i wielu innych). Zasubskrybuj, by nie przegapić!Prowadzenie: Paulina Król, Centrum Informacyjne Lasów PaństwowychGość: dr Przemysław Płoskonka, Stowarzyszenie Polska Szkoła SurwiwaluProdukcja: Centrum Informacyjne Lasów Państwowych 2021

Euforia SBMPTN 2021 diwarnai perbincangan hangat tentang ucapan selamat sampai SPSS hehe. Selamat dan Sukses kepada basudara yang lulus.

Today's episode is with Sean Leahy. Sean is a Proven leadership consultant with experience in various industries including sales, digital marketing, IT & organizational strategy.This episode is important because as many leaders are looking for ways to detoxify their behavior and organizational culture, a commonly avoided aspect is feedback. My hope is that this episode illustrates why feedback should be viewed as the gift that it is.Guest BioProven management coach and leader in sales, digital marketing, IT, eCommerce development, finance, supply chain, & organizational strategy | seanfleahy@gmail.com | 224-212-0744Skills: Office 365, SAP CRM, Power BI, SAP eCommerce Cloud, RStudio, Python, SPSS, SalesForceSpecialties: Strategic Sales implementation, development, & management, digital marketing, innovative product sales, ad sales, organizational change and development, sales leadership development, eCommerce management, strategic account management, financial analysis, computer & networking administrationThe Toxic Leadership PodcastInstagram: @ToxicLeadershipPodcastTwitter: @ToxicLeaderShow Dr. Kevin Sansberry II is a behavioral scientist and executive coach with expertise in toxic leadership, human capital strategy, and creating inclusive cultures of belonging to enhance organization performance. Over the years, Kevin has focused on providing research-informed solutions in various settings such as higher education, nonprofit, sales, and corporate environments. Follow KEVRA: The Culture Company on Linkedin to keep up with your favorite behavioral scientist, Dr. Sansberry. At KEVRA: The Culture Company, we partner to effectively evolve your organizational culture by focusing on competency development, best practices, and leading research to deliver systemic and innovative solutions for company success. Have a question for Dr. Sansberry? Visit askdrkev.com to send your leadership and organizational-related questions. https://thetoxicleadershippodcast.com/

Researchers study preventing cancer and diabetes with the maqui berry NOVA Southeastern University of Florida, May 27, 2021 Aristotelia chilensis, also known as maqui berry, is a fruit-bearing shrub native to South America.  According to a study published in the journal Phytochemical Analysis, maqui berries are rich in anthocyanins, which give the fruits their dark purple color. Anthocyanins are plant pigments that possess many remarkable biological properties, such as antioxidant, anti-inflammatory, anti-viral and anti-cancer activities. In a recent study, researchers at NOVA Southeastern University in Florida discussed the potential of Chilean maqui berry for use as a nutritional supplement that can help treat hyperinsulinemia and related diseases. Hyperinsulinemia, or higher-than-normal insulin levels, is often caused by insulin resistance, which is said to be the precursor to diabetes. Chronic hyperinsulinemia also promotes cancer growth by allowing insulin to exert its oncogenic effects, which include enhancing growth factor-dependent cell proliferation, among others. The researchers discussed how Chilean maqui berry can help with insulin resistance and reduce cancer risk in an article published in the journal Food Science and Human Wellness. The medicinal benefits of Chilean maqui berry Researchers have long considered nutritional supplementation to be a possible alternative or adjunct treatment to conventional therapies for common ailments and diseases. According to recent studies, maqui berries can reduce postprandial insulin levels by as much as 50 percent and are just as effective as metformin at increasing insulin sensitivity and stabilizing blood glucose levels. Maqui berries’ mechanism of action involves inhibiting sodium-dependent glucosetransporters in the small intestine and slowing the rate of entry of glucose in the bloodstream. Thanks to these actions, maqui berries can effectively reduce the likelihood of blood sugar spikes and prevent the corresponding rise in insulin levels that follows.  At the same time, maqui berries contribute to cancer prevention since chronically high blood glucose levels — besides chronic hyperinsulinemia — are also linked to the development of cancer. In fact, numerous studies have shown that diabetics and prediabetics have an elevated risk of developing cancerous growths. Based on the findings of previous studies, the researchers believe that consistent supplementation with Chilean maqui berries could indirectly reduce the risk of cancer and other diseases that are promoted by hyperglycemia (high blood sugar) and hyperinsulinemia.     Studies reveal that social isolation and quarantine throughout the COVID-19 pandemic may have a detrimental impact on physical and mental health of people living with pre-existing conditions University of Naples (Italy) and Teva Pharmaceuticals, May 30, 2021   Abstract 803: Impact of social isolation and quarantine on the course of diabetes mellitus and its complications during Covid 19 pandemic in Adjara Region Country of Georgia Abstract 1337: Psychological distress in patients with hypocortisolism during mass quarantine for Covid-19 epidemic in Italy Studies reveal that social isolation and quarantine throughout the COVID-19 pandemic may have a detrimental impact on people living with pre-existing conditions.  Social isolation and quarantine can have a detrimental impact on physical and mental health of people living with pre-existing conditions, according to two studies being presented at the 23rd European Congress of Endocrinology (e-ECE 2021)  The studies bring together research on the impact of social isolation and quarantine for people living with diabetes in the Adjara Region of Georgia, and on patients with hypocortisolism in Italy. Both studies reported that social isolation during the pandemic caused significant psychological and/or physical distress on the observed individuals.  Data from the first study revealed that the impact of quarantine on people living with diabetes in the Adjara Region caused blood pressure (BP) levels to increase in 88.2% of patients with 50% of these cases resulting in high BP hospitalisation. In addition to these physical factors, increased feelings of anxiety and fear were observed on 82% of patients. In the second study, patients with hypocortisolism experienced increased anxiety and depression, associated with a dissatisfaction feeling of self and a reduced resiliency, when compared with Italian healthy controls. As these are all contributing factors to overall health deterioration, these findings suggest further research is required to allow patients with pre-existing conditions to remain fit and healthy during the current pandemic. In the Adjara Region study, Dr Liana Jashi and the research team disseminated an online questionnaire and collected answers from 16 endocrinologists and 22 family and general practice doctors. The study confirmed the negative, indirect effects social isolation and quarantine had on people living with diabetes. It reported a list of negative effects such as the reduced access to medical care, weight gain and increased cigarette and alcohol consumption. Physical activity decreased by 29.8%, a vital preventative to further physical and psychological problems.  "This study highlights that people living with diabetes require greater support during pandemics to maintain exercise and protect their physical and mental health. National health services should use these data and future studies to implement better social care around supporting people with pre-existing conditions," commented Dr Jashi. In the second study, Dr Chiara Simeoli at the University of Naples reported data collected during the last three weeks of the mass quarantine lasted 2 months in Italy, in a web-survey-based, multicenter, case- control research involving 12 different Italian centres. The study confirmed that a large cohort of 478 patients with hypocortisolism, and particularly, 363 with adrenal insufficiency and 115 with congenital adrenal hyperplasia, adequately treated with glucocorticoids, showed higher anxiety and depression, associated with a dissatisfaction feeling of self and a reduced resiliency, when compared with Italian healthy controls, suggesting the detrimental impact of social isolation on mental health of these patients, particularly frail and vulnerable to infections and stress. Moreover, patients with adrenal insufficiency reported a worse quality of life than patients with congenital adrenal hyperplasia.  "These findings confirmed that beyond the huge impact on physical health, COVID-19 epidemic, social isolation and mass quarantine represent significant psychological stressors, causing severe effects on mental health, even more on people with pre-existing conditions. An empowerment of psychological counselling for these vulnerable patients during COVID-19 should be considered by national health-care services," adds Dr Simeoli.  Both studies indicate that additional larger studies over a longer period of time are needed for further investigation.       Researchers discover link between local oxygen depletion in the brain and Alzheimer's disease University of Seville (Spain), May 24, 2021 The study, published in the journal Nature Aging and led by the laboratories of Dr. Alberto Pascual (CSIC), from the Neuronal Maintenance Mechanisms Group, and Prof. Javier Vitorica (University of Seville/CIBERNED) of the Physiopathology of Alzheimer's Disease Group at IBiS, demonstrates for the first time that low oxygen levels in the so-called senile plaques in the brain reduces the immune system's defensive capacity against the disease. The study also suggests that this lack of oxygen in the brain enhances the action of disorders associated with Alzheimer's disease that are characterized by low systemic oxygen levels, such as atherosclerosis and other cardiovascular diseases. What happens in the brain? A characteristic feature of Alzheimer's patients is the accumulation of highly toxic substances in their brains, known as senile plaques. The brain has an immune system whose main component are the microglial cells, which were first described and named 100 years ago by Pío del Río Hortega, a disciple of Ramón y Cajal. In the absence of damage, these cells facilitate the neurons' function. In response to Alzheimer's disease, microglia defend neurons by surrounding senile plaques, preventing their spread in the brain and decreasing damage. Alzheimer's disease is aggravated by other pathologies, such as cardiovascular diseases, which cause a decrease in oxygen levels in the body. This study has revealed reduced oxygen levels around senile plaques, compromising microglial activity (Image, center). When this is compounded by reduced oxygen supply to the brain due to other systemic pathologies, the microglia are unable to provide protection and there is an increase in the pathology associated with the disease. Relevance Alzheimer's disease is the leading cause of dementia in Spain and around the world. In Spain, its incidence is increasing dramatically as the population ages. Unfortunately, the origin of the disease remains unknown. The mechanism proposed in this study is mediated by the expression of the HIF1 molecule, whose discoverers received the Nobel Prize in Physiology or Medicine in 2019. Increased HIF1 levels compromise the mitochondrial activity of microglial cells and limit their protective capacity against disease. This study opens new lines of research to improve the metabolic capacity of microglia, which would enable a sustained response over time against the disease. Indirectly, the study supports previous work highlighting the importance of maintaining good cardiovascular health for healthy aging.   Effect of different doses of melatonin on learning and memory deficit in Alzheimer model Guilan University of Medical Sciences (Iran), May 21, 2021   According to news reporting out of Rasht, Iran, research stated, “Alzheimer Disease (AD) is an age-related neurodegenerative disorder with a progressive impairment of cognitive function. The pineal gland hormone melatonin (MEL) has been known as a protection agent against AD.” Our news reporters obtained a quote from the research from Guilan University of Medical Sciences: “However, the effect of melatonin in various doses is inconsistent. In this study, we aimed to investigate two doses of MEL on learning and memory in the amyloid-beta (Ab)-induced AD in the rats. Forty-eight male Wistar rats were used in the experiment and randomly divided control, sham, vehicle, AD, AD+MEL10 mg/kg, and AD+MEL 20 mg/kg groups. Intracerebroventricular injection of Ab1-42 was used to develop the animal model of AD. Also, MEL-treated groups received an intraperitoneal injection of MEL for 4 next weeks. The Morris Water Maze (MWM) and Passive Avoidance Learning (PAL) tests were used to examine animals’ learning and memory. The brain of animals was removed for immunohistochemistry for anti- Amyloid Precursor Protein (APP). Intra-peritoneal injection of MEL significantly improve learning and memory in MWM (P=0.000) and PAL test (P=0.000), but there were no significant changes in the two groups that received the melatonin (P>0.05). Histopathological analysis revealed that the clearance of APP deposition in the AD+MEL20 group was considerable compared with the AD+MEL10 group (P=0.000).” According to the news editors, the research concluded: “Our findings indicate that 10 and 20 mg/kg doses of melatonin have similar results on learning and memory in the AD model. But 20 mg/kg of melatonin has significantly more effect on the clearance of APP deposition.”     Effects of flaxseed on blood pressure, body mass index, and total cholesterol in hypertensive patients: A randomized clinical trial Lorestan University of Medical Sciences (Iran), May 25, 2021 Objectives Given the antioxidant properties of flaxseed and its biologically active ingredients, this study was conducted to determine the effects of flaxseed supplementation on body mass index (BMI), blood pressure, and total cholesterol levels in patients with hypertension. Methods In this triple-blind clinical trial, 112 patients, with an age range of 35 to 70 years, were randomized to 2 groups receiving 10 g (n=45) and 30 g (n=45) of flaxseed supplementation and 1 group receiving placebo (n=45) for 12 weeks by stratified block randomization. They were evaluated in terms of systolic (SBP) and diastolic blood pressure (DBP), BMI, and total serum cholesterol. Physical activity was measured using the International Physical Activity Questionnaire–Short Form (IPAQ–SF) and food intake was assessed using the Food Frequency Questionnaire (FFQ). The data were analyzed with SPSS, version 22, using the chi-square, Kruskal–Wallis, repeated measures analysis, ANOVA, and ANCOVA tests. Results The interaction effects among the study groups and time on the mean SBP (p = 0.001), DBP (p = 0.001), total cholesterol level (p = 0.032), and BMI (p < 0.001) were significant. During the study, the 30-g group achieved the best results, so that a 13.38-unit decrease in SBP was observed compared to a 1.72 unit increase in the placebo group and a 5.6-unit decrease in DBP was measured compared to a 2.39 unit increase in the placebo group. BMI decreased by 0.86 units compared to 0.06 units in the placebo group. Total cholesterol also decreased by 20.4 units compared to 11.86 units in the placebo group. Conclusion The results of this study showed that flaxseed can be effective in reducing blood pressure, total cholesterol, and body mass index in hypertensive patients in a twelve-week period.     Study: Don't count on caffeine to fight sleep deprivation Michigan State University, May 27, 2021 Rough night of sleep? Relying on caffeine to get you through the day isn't always the answer, says a new study from Michigan State University. Researchers from MSU's Sleep and Learning Lab, led by psychology associate professor Kimberly Fenn, assessed how effective caffeine was in counteracting the negative effects of sleep deprivation on cognition. As it turns out, caffeine can only get you so far. The study -- published in the most recent edition of Journal of Experimental Psychology: Learning, Memory, & Cognition -- assessed the impact of caffeine after a night of sleep deprivation. More than 275 participants were asked to complete a simple attention task as well as a more challenging "placekeeping" task that required completion of tasks in a specific order without skipping or repeating steps. Fenn's study is the first to investigate the effect of caffeine on placekeeping after a period of sleep deprivation. "We found that sleep deprivation impaired performance on both types of tasks and that having caffeine helped people successfully achieve the easier task. However, it had little effect on performance on the placekeeping task for most participants," Fenn said. She added: "Caffeine may improve the ability to stay awake and attend to a task, but it doesn't do much to prevent the sort of procedural errors that can cause things like medical mistakes and car accidents."  Insufficient sleep is pervasive in the United States, a problem that has intensified during the pandemic, Fenn said. Consistently lacking adequate sleep not only affects cognition and alters mood, but can eventually take a toll on immunity.  "Caffeine increases energy, reduces sleepiness and can even improve mood, but it absolutely does not replace a full night of sleep, Fenn said. "Although people may feel as if they can combat sleep deprivation with caffeine, their performance on higher-level tasks will likely still be impaired. This is one of the reasons why sleep deprivation can be so dangerous." Fenn said that the study has the potential to inform both theory and practice.  "If we had found that caffeine significantly reduced procedural errors under conditions of sleep deprivation, this would have broad implications for individuals who must perform high stakes procedures with insufficient sleep, like surgeons, pilots and police officers," Fenn said. "Instead, our findings underscore the importance of prioritizing sleep."     Parkinson's disease more likely in people with depression, study suggests Umea University (Sweden), May 21 2021     People with depression may be more likely to develop the movement disorder Parkinson's disease, according to new research published in Neurology.   According to the authors of the study, depression is more common in people with Parkinson's disease than those without the movement disorder. "We saw this link between depression and Parkinson's disease over a timespan of more than 2 decades, so depression may be a very early symptom of Parkinson's disease or a risk factor for the disease," says study co-author Prof. Peter Nordström, at Umeå University in Sweden. Parkinson's disease is a progressive disorder of the nervous system that affects how a person moves, including how they speak and write. As well as problems with movement, Parkinson's disease can also cause cognitive problems, neurobehavioral problems and sensory difficulties. The authors of the study state that depression is more common in patients with Parkinson's disease than in members of the general population. The mood disorder has a major influence on health-related quality of life and could also be involved in more rapid deterioration of cognitive and motor functions. However, few studies have investigated this association for periods of longer than 10 years, with any long-term findings so far inconclusive. For the study, the researchers used a cohort consisting of all Swedish citizens aged 50 years and above as of December 31st, 2005. From this group, they then took the 140,688 people diagnosed with depression . These individuals were each matched with three control participants (a total of 421,718 controls) of the same age and sex who had not been diagnosed with depression. The participants were then followed for up to 26 years. A total of 1,485 people with depression (1.1%) developed Parkinson's disease during this time, compared with 1,775 of those who did not have depression (0.4%). On average, Parkinson's disease was diagnosed 4.5 years after the beginning of the study, with the likelihood of the disorder developing decreasing over time. No sibling link found for depression and Parkinson's disease The researchers calculated that participants with depression were 3.2 times more likely than those without depression to develop Parkinson's disease within a year of the study beginning. After 15-25 years, the researchers found participants with depression were almost 50% more likely to develop the condition. If a participant's depression was severe, their likelihood of developing Parkinson's disease was also higher. For example, those who had been hospitalized for depression five or more times were 40% more likely to develop Parkinson's disease than participants who had been hospitalized for depression just once. In addition to these observations, the researchers examined siblings. No link was found between one sibling having Parkinson's disease and the other having depression. "This finding gives us more evidence that these two diseases are linked," says Prof. Nordström. "If the diseases were independent of each other but caused by the same genetic or early environmental factors, then we would expect to see the two diseases group together in siblings, but that didn't happen." The authors suggest there are a number of mechanisms that could explain their findings. Depression or antidepressive treatment could increase the risk of Parkinson's disease, depression could be an early symptom of Parkinson's disease, or that the two conditions could share environmental causative factors. In the paper, the authors acknowledge that they are unable to evaluate the potential role of substances used in antidepressive treatment as risk factors for Parkinson's disease. The study is an observational one and cannot determine causation. "Our findings suggest a direct association between depression and subsequent [Parkinson's disease], supported by a time-dependent hazard ratio, a dose-response pattern for recurrent depression, and a lack of evidence for coaggregation among siblings," the authors conclude. "Given that the association was significant over more than two decades of follow-up, depression may be a very early prodromal symptom of or a causal risk factor for [Parkinson's disease]." Elsewhere, a study published in December previously suggested that users of methamphetamine are at three times more risk of getting Parkinson's disease than people who do not use illegal drugs.

In high school, Keith McCormick drove his math teachers crazy because he never got his homework done on time yet he did very well on standardized tests. As he put it, he was the classic ‘over underachiever’. Keith’s teachers accused him of being lazy, yet unlike most teens who might have absorbed it as a strike to their confidence, he got more curious and started reading education theory books to better understand himself. He was annoyed by their mean-spiritedness. In his junior year, Keith had a religion teacher who did not judge his reading choices and even made suggestions to add to his stack. He finally felt seen.  Interestingly, Keith was considering college at 17, Keith decided to enlist in the Army Reserve so that he could get a scholarship to pay for his education and he felt that it was going to give me the discipline that I had lacked as a high school student. His parents were actually against it, but they accepted his choice. While his interests included philosophy, history, and education theory, he attended Worcester Polytechnic Institute (WPI) to study computer and data science. While at WPI, Keith did a social science project on learning styles and how to build more effective computer-based instruction. This led to his assisting a professor with a research conference during which he introduced Keith to Mary McCauley, a less famous yet key researcher who brought the Myers Briggs Type Indicator (MBTI) to the mainstream. Meeting Mary changed the next ten years of Keith’s life. He worked with Mary doing research and analysis on the MBTI assessment. Keith also ran his own SAT test prep service. Today, Keith is an independent consultant, thought leader, and LinkedIn learning contributor. He also serves as Cloud Factory's Chief Data Science Advisor. In this week’s Work From The Inside Out podcast, learn more about Keith’s  journey: In the 90s, Keith worked as an SPSS and analytic software trainer.  He has written several books, including AI for Dummies, and SPSS for Dummies. Keith has been working with analytics management, to more efficiently run their teams, and to nurture new hires as they expand their teams.  Learn more and connect with Keith here: https://www.linkedin.com/in/keithmccormick/ @KMcCormickBlog www.keithmccormick.com

Today I had the pleasure of speaking with Keith McCormick. Keith is an independent data miner, trainer, speaker, and author out of North Carolina who's LinkedIn learning courses have been viewed over 500,000 times. For the last several years, the focus of Keith's work has been to improve how analytics leadership runs their teams and how they hire and nurture new talent. Keith actually started his analytics journey as an SPSS instructor, and in this interview we talk about the rise and fall of the software. We also talk about his thoughts on the future of machine learning tools and his ongoing fascination with personality types. I hope you enjoy the chat!

SPSS has been around for years and is a major part of the data science industry when discussing statistical analysis. Keith McCormick discusses the history of SPSS and why it is so valuable to everyone.

Gary takes on the real issues that the mainstream media is afraid to tackle. Tune in to find out the latest about health news, healing, politics, and the economy. George Orwell and 1984: How Freedom Dies Orwell's final warning - Picture of the future The Efficacy of Olive Leaf Extract on Healing Herpes Simplex Virus: A Randomized Double-blind Study Lorestan University of Medical Sciences (Iran), January 29, 2021   Herpes simplex virus (HSV), as a common infection in healthy individuals, is treated symptomatically, but drug resistance and the side effects of drugs have drawn the attention of researchers to complementary medicine. Olive Leaf Extract (OLE) has antiviral effects that may treat HSV. The current study aimed to compare the clinical effects of OLE and Acyclovir on HSV-1. Methods This randomized double-blind clinical trial was conducted on 66 patients who had already been diagnosed with HSV-1. The participants were randomized into two groups, receiving 2% OLE cream or 5% acyclovir cream five times a day for six days. The symptoms were evaluated before, and three and six days after the interventions. Data were analyzed using the SPSS software through the Kolmogorov-Smirnov test, chi-squared, t-test, and repeated measures ANOVA. Results The results showed clinical symptoms decreased in both groups during the study and both medications were effective in the treatment of HSV-1. However, the OLE group experienced less bleeding (P=0.038), itching (P=0.002), and pain (P=0.001) on the third day as well as less irritation (P=0.012), itching (P=0.003) and color change (P=0.001) on the sixth day compared to the acyclovir group. The treatment course for participants in the OLE group was shorter than in the acyclovir group (P = 0.001). Conclusion The evidence from these trials suggests the OLE cream is superior in the healing of episodes of HSV-1 over the acyclovir cream. Future studies are recommended to investigate if OLE could be an adjunct to acyclovir treatment.   How vitamins, steroids and potential antivirals might affect SARS-CoV-2 Study indicates that some vitamins, steroids and antivirals could bind to the Spike protein, and may inhibit virus infectivity, whereas high cholesterol may enable the virus University of Bristol (UK), January 29, 2021   Evidence is emerging that vitamin D - and possibly vitamins K and A - might help combat COVID-19. A new study from the University of Bristol published in the journal of the German Chemical Society Angewandte Chemie has shown how they - and other antiviral drugs - might work. The research indicates that these dietary supplements and compounds could bind to the viral spike protein and so might reduce SARS-CoV-2 infectivity. In contrast, cholesterol may increase infectivity, which could explain why having high cholesterol is considered a risk factor for serious disease. Recently, Bristol researchers showed that linoleic acid binds to a specific site in the viral spike protein, and that by doing so, it locks the spike into a closed, less infective form. Now, a research team has used computational methods to search for other compounds that might have the same effect, as potential treatments. They hope to prevent human cells becoming infected by preventing the viral spike protein from opening enough to interact with a human protein (ACE2). New anti-viral drugs can take years to design, develop and test, so the researchers looked through a library of approved drugs and vitamins to identify those which might bind to this recently discovered 'druggable pocket' inside the SARS-CoV-2 spike protein.  The team first studied the effects of linoleic acid on the spike, using computational simulations to show that it stabilizes the closed form. Further simulations showed that dexamethasone - which is an effective treatment for COVID-19 - might also bind to this site and help reduce viral infectivity in addition to its effects on the human immune system.  The team then conducted simulations to see which other compounds bind to the fatty acid site. This identified some drugs that have been found by experiments to be active against the virus, suggesting that this may be one mechanism by which they prevent viral replication such as, by locking the spike structure in the same way as linoleic acid. The findings suggested several drug candidates among available pharmaceuticals and dietary components, including some that have been found to slow SARS-CoV-2 reproduction in the laboratory. These have the potential to bind to the SARS-CoV-2 spike protein and may help to prevent cell entry.  The simulations also predicted that the fat-soluble vitamins D, K and A bind to the spike in the same way making the spike less able to infect cells.  Dr Deborah Shoemark, Senior Research Associate (Biomolecular Modelling) in the School of Biochemistry, who modelled the spike, explained: "Our findings help explain how some vitamins may play a more direct role in combatting COVID than their conventional support of the human immune system.  "Obesity is a major risk factor for severe COVID. Vitamin D is fat soluble and tends to accumulate in fatty tissue. This can lower the amount of vitamin D available to obese individuals. Countries in which some of these vitamin deficiencies are more common have also suffered badly during the course of the pandemic. Our research suggests that some essential vitamins and fatty acids including linoleic acid may contribute to impeding the spike/ACE2 interaction. Deficiency in any one of them may make it easier for the virus to infect." Pre-existing high cholesterol levels have been associated with increased risk for severe COVID-19. Reports that the SARS-CoV-2 spike protein binds cholesterol led the team to investigate whether it could bind at the fatty acid binding site. Their simulations indicate that it could bind, but that it may have a destabilising effect on the spike's locked conformation, and favour the open, more infective conformation. Dr Shoemark continued: "We know that the use of cholesterol lowering statins reduces the risk of developing severe COVID and shortens recovery time in less severe cases. Whether cholesterol de-stabilises the "benign", closed conformation or not, our results suggest that by directly interacting with the spike, the virus could sequester cholesterol to achieve the local concentrations required to facilitate cell entry and this may also account for the observed loss of circulating cholesterol post infection." Professor Adrian Mulholland, of Bristol's School of Chemistry, added: "Our simulations show how some molecules binding at the linoleic acid site affect the spike's dynamics and lock it closed. They also show that drugs and vitamins active against the virus may work in the same way. Targeting this site may be a route to new anti-viral drugs. A next step would be to look at effects of dietary supplements and test viral replication in cells." Alison Derbenwick Miller, Vice President, Oracle for Research, said: "It's incredibly exciting that researchers are gaining new insights into how SARS-CoV-2 interacts with human cells, which ultimately will lead to new ways to fight COVID-19. We are delighted that Oracle's high-performance cloud infrastructure is helping to advance this kind of world-changing research. Growing a globally-connected community of cloud-powered researchers is exactly what Oracle for Research is designed to do."     Researchers find melatonin is effective against polycystic kidney disease Concordia University (Canada), January 26, 2021 A hormone commonly associated with sleep-wake regulation has been found to reduce cysts in fruit flies, according to Concordia researchers. It's a finding that may affect the way we treat some kidney diseases and reduce the need for kidney transplants. In a new paper published in the journal Molecules, alum Cassandra Millet-Boureima(MSc 19) and Chiara Gamberi, affiliate assistant professor of biology, write that melatonin was found to reduce cysts in the renal tubules of fruit flies. These tubules are also found in more complex mammals, including humans, where they are called nephrons. This study, which builds on previous studies by Millet-Boureima and Gamberi, was co-authored by Roman Rozencwaig and Felix Polyak of BH Bioscience in Montreal. The researchers hope that their findings can be applied to treating people suffering from autosomal dominant polycystic kidney disease. ADPKD is a genetic chronic and progressive disease characterized by the growth of dozens of cysts in the nephrons. It is incurable and affects approximately 12.5 million worldwide. Similarities big and small Because nephrons in vertebrates are embedded in other tissue, the researchers experimented on Drosophila -- the common fruit fly. "Drosophila conserves many of the renal pathway components found in vertebrates and have anatomically isolated renal tubes," Gamberi explains. "With microdissection, we can isolate the tubules and conduct biochemical and molecular analysis." The researchers bred fruit flies bearing the Bicaudal C gene mutation. It is known to cause kidney cysts in all manner of living beings, from flies to frogs to mice to humans. Over 18 days, Millet-Boureima administered melatonin to 50 Drosophila and ethanol to a control group. She then dissected the flies and scored their cysts, a process yielding a cystic index. She found that the melatonin-treated flies had much fewer and smaller cysts than the control. Because Millet-Boureima was skilled at dissecting the insects and evaluating the recovered renal tubules, she was able to avoid bias in the count. She was also able to distinguish three separate sections of the Drosophila tubule, each with its own unique function, and assign the cysts to a particular section. After testing several compounds on the same family of cells, she observed different activities along the length of the tubule. The researchers realized that they could potentially develop targeted treatment depending on the location of the cysts in a patient's nephrons. "Biologically speaking, this has a lot of potential that we will obviously develop," Gamberi says. Helping without harming Though Gamberi says melatonin has not been previously used to treat PKD, she does think it holds some promise. PKD is a chronic disease, so treatment cannot include any toxic components. This rules out chemotherapy and tumour-killing antineoplastics used in oncology, for instance. However, melatonin is entirely non-toxic and shares certain properties with antineoplastics and anti-inflammatory agents. "We know from oncology that melatonin has two effects when it is administered with chemotherapy," Gamberi explains. "First, it acts as a drug adjuvant to the chemotherapy, making it work more effectively against cancer cells. Second, it appears to protect healthy cells from the toxicity of the chemotherapy. Basically, melatonin increases the specificity of the chemotherapy. We hope that it can have a similar positive effect when used with an anti-ADPKD drug like tolvaptan, which can damage the liver." The researchers are keen to share their findings as quickly as possible. "I hope there will be more research on the drugs we tested and that we get more results that will help the PKD community," Millet-Boureima says.     Gallic acid is a dual alpha/beta-secretase modulator that reverses cognitive impairment and remediates pathology in Alzheimer  Saitama Medical Center (Japan), January 20, 2021   According to news reporting from Saitama, Japan, research stated, “Several plant-derived compounds have demonstrated efficacy in pre-clinical Alzheimer’s disease (AD) rodent models. Each of these compounds share a gallic acid (GA) moiety, and initial assays on this isolated molecule indicated that it might be responsible for the therapeutic benefits observed.”  Higher concentrations of GA are found in blueberry, blackberry, strawberry, plums, grapes, mango, cashew nut, hazelnut, walnut and tea.   The news correspondents obtained a quote from the research from Saitama Medical Center, “To test this hypothesis in a more physiologically relevant setting, we investigated the effect of GA in the mutant human amyloid beta-protein precursor/presenilin 1 (APP/PS1) transgenic AD mouse model. Beginning at 12 months, we orally administered GA (20 mg/kg) or vehicle once daily for 6 months to APP/PS1 mice that have accelerated Alzheimer-like pathology. At 18 months of age, GA therapy reversed impaired learning and memory as compared with vehicle, and did not alter behavior in nontransgenic littermates. GA-treated APP/PS1 mice had mitigated cerebral amyloidosis, including brain parenchymal and cerebral vascular beta-amyloid deposits, and decreased cerebral amyloid beta-proteins. Beneficial effects co-occurred with reduced amyloidogenic and elevated nonamyloidogenic APP processing. Furthermore, brain inflammation, gliosis, and oxidative stress were alleviated. We show that GA simultaneously elevates alpha- and reduces beta-secretase activity, inhibits neuroinflammation, and stabilizes brain oxidative stress in a pre-clinical mouse model of AD. We further demonstrate that GA increases abundance of a disintegrin and metalloproteinase domain-containing protein 10 (ADAM10, Adam10) proprotein convertase furin and activates ADAM10, directly inhibits beta-site APP cleaving enzyme 1 (BACE1, Bace1) activity but does not alter Adam10 or Bace1 transcription. Thus, our data reveal novel post-translational mechanisms for GA.” According to the news reporters, the research concluded: “We suggest further examination of GA supplementation in humans will shed light on the exciting therapeutic potential of this molecule.” This research has been peer-reviewed.     Black cumin’s anti-inflammatory potential may have airways/asthma benefits: RCT   University College London, January 27, 2021   Supplements containing oil from black cumin (Nigella sativa) may improve asthma control and lung function, says a new study.   The seed and oil of Nigella sativa have been used extensively in traditional medicine in many Middle Eastern and Asian countries for the treatment of a range of conditions, including some immune and inflammatory disorders.   The new study, published in Phytotherapy Research , found that one gram per day of the oil for four weeks led to significant improvements in scores of asthma control and a “remarkable reduction of peripheral blood eosinophil count,” wrote the authors   “Eosinophil cell plays a major role in asthma inflammation, and blood eosinophil count is considered to be a vital biomarker in asthma trials. To our knowledge, this is the first [randomized, double-blind, placebo-controlled trial] that showed a significant reduction of blood eosinophilia by [Nigella sativa oil (NSO)] among asthmatic patients.”   Scientists from University College London (UK) and King Abdulaziz University (Saudi Arabia) recruited 80 asthmatics and randomly assigned them to one of two equal groups. The participants received either capsules containing 500 mg of NSO twice per day or placebo for four weeks.   Data from the 60 people who completed the study (10 dropouts in each group) indicated that the black cumin supplement was associated with significant improvements in mean score on the Asthma Control Test, compared to placebo.   Black cumin oil products are commercially available through brands such as Life Extension. Structure-function claims made on the products include: “Modulates key regulators of inflammation” In addition, the black cumin group also experienced a significant decrease in blood eosinophils: −50 versus 15 cells/microliter.   A non-statistically significant improvement in lung function, measured as forced expiratory volume in 1 second, was also associated with the black cumin supplements.   “The NSO supplementation appeared to be effective in enhancing the control of asthma symptoms with a trend in pulmonary function improvement,” wrote the researchers. “These findings may provide an evidence for the potential benefits of NSO supplementation in the clinical management of asthma. “Future studies should follow patients for a longer period and use additional outcomes to validate the benefits of NSO in asthma.”   LSD may offer viable treatment for certain mental disorders McGill University (Quebec), January 26, 2021 Researchers from McGill University have discovered, for the first time, one of the possible mechanisms that contributes to the ability of lysergic acid diethylamide (LSD) to increase social interaction. The findings, which could help unlock potential therapeutic applications in treating certain psychiatric diseases, including anxiety and alcohol use disorders, are published in the journal PNAS. Psychedelic drugs, including LSD, were popular in the 1970s and have been gaining popularity over the past decade, with reports of young professionals claiming to regularly take small non-hallucinogenic micro-doses of LSD to boost their productivity and creativity and to increase their empathy. The mechanism of action of LSD on the brain, however, has remained a mystery. Studies in mice provide clues To conduct their study, the researchers administered a low dose of LSD to mice over a period of seven days, resulting in an observable increase in the sociability of the mice. "This increased sociability occurs because the LSD activates the serotonin 5-HT2A receptors and the AMPA receptors -- which is a glutamate receptor, the main brain excitatory neurotransmitters -- in the prefrontal cortex and also activates a cellular protein called mTORC 1," explains Danilo De Gregorio, PharmD, PhD, who is a postdoctoral fellow in the Neurobiological Psychiatry Unit at McGill and the study's first author. "These three factors, taken together, promote social interaction in mice, which is the equivalent of empathy and social behaviour in humans."  The researchers note that the main outcome of their study is the ability to describe, at least in rodents, the underlying mechanism for the behavioural effect that results in LSD increasing feelings of empathy, including a greater connection to the world and sense of being part of a large community. "The fact that LSD binds the 5-HT2A receptor was previously known. The novelty of this research is to have identified that the prosocial effects of LSD activate the 5-HT2 receptors, which in-turn activate the excitatory synapses of the AMPA receptor as well as the protein complex mTORC1, which has been demonstrated to be dysregulated in diseases with social deficits such as autism spectrum disorder," as specified by Prof. Nahum Sonenberg, Professor at the Department of Biochemistry of McGill University, world renowned expert in the molecular biology of diseases and co-lead author of the study. Using the cutting-edge technique of optogenetics, a technique where genes for light-sensitive proteins are introduced into specific types of brain cells in order to monitor and control their activity precisely using light signals, the researchers observed that when the excitatory transmission in the prefrontal cortex is de-activated, the prosocial effect of LSD was nullified, highlighting the importance of this brain region on the modulation of the behavioural effects of LSD. Moving forward to apply the findings to humans Having found that LSD increases social interaction in mice, the researchers are hoping to continue their work and to test the ability of LSD to treat mutant mice displaying the behavioural deficits similar to those seen in human pathologies including autism spectrum disorders and social anxiety disorders. The hope is to eventually explore whether micro-doses of LSD or some novel derivates might have a similar effect in humans and whether it could also be a viable and safe therapeutic option.  "Social interaction is a fundamental characteristic of human behaviour," notes the co-lead author Dr. Gabriella Gobbi, Professor in the Department of Psychiatry at McGill and psychiatrist at the McGill University Health Centre. "These hallucinogenic compounds, which, at low doses, are able to increase sociability may help to better understand the pharmacology and neurobiology of social behavior and, ultimately, to develop and discover novel and safer drugs for mental disorders."   Polyphenol-rich virgin olive oil reduces insulin resistance and liver inflammation and improves mitochondrial dysfunction   University of Naples (Italy), January 28, 2021   Studies from University of Naples Federico II Describe New Findings in Insulin Resistance (Polyphenol-rich virgin olive oil reduces insulin resistance and liver inflammation and improves mitochondrial dysfunction in high-fat diet fed rats)   A new study on Endocrine System Diseases and Conditions - Insulin Resistance is now available. According to news reporting originating in Naples, Italy, research stated, "Virgin olive oil is an essential component of the Mediterranean diet. Its antioxidant and anti-inflammatory properties are mainly linked to phenolic contents."   The news reporters obtained a quote from the research from the University of Naples Federico II, "This study aims to evaluate the beneficial effects of a polyphenol-rich virgin olive oil (HPCOO) or olive oil without polyphenols (WPOO) in rats fed high-fat diet (HFD). Male Sprague-Dawley rats were divided into four groups based on the different types of diet: (I) standard diet (STD); (II) HFD; (III) HFD containing WPOO, and (IV) HFD containing HPCOO. HPCOO and WPOO induced a significant improvement of HFD-induced impaired glucose homeostasis (by hyperglycemia, altered oral glucose tolerance, and HOMA-IR) and inflammatory status modulating pro-and anti-inflammatory cytokines (TNF-a, IL-1, and IL-10) and adipokines. Moreover, HPCOO and less extensively WPOO, limited HFD-induced liver oxidative and nitrosative stress and increased hepatic fatty acid oxidation. To study mitochondrial performance, oxidative capacity and energy efficiency were also evaluated in isolated liver mitochondria. HPCOO, but not WPOO, reduced H O release and aconitase activity by decreasing degree of coupling, which plays a major role in the control of mitochondrial reactive oxygen species emission."   According to the news reporters, the research concluded: "HPCOO limits HFD-induced insulin resistance, inflammation, and hepatic oxidative stress, preventing nonalcoholic fatty liver disease progression."   For more information on this research see: Polyphenol-rich virgin olive oil reduces insulin resistance and liver inflammation and improves mitochondrial dysfunction in high-fat diet fed rats.   

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.16.384396v1?rss=1 Authors: Ebrahim, B. Y., Soboka, M., Getachew, Y., Alemu, B., Ahmed, G., Tesfaye, E. Abstract: Background Expressed emotion (EE) measures the emotion of the caregivers of persons with schizophrinia and is predictive of symptom levels in a range of medical and psychiatric conditions. It is worth to assess expressed emotion and associated factors among caregivers of patient with schizophrenia in Ethiopia since there is limited data on this issue in this part of the world. Objective To assess the status of expressed emotions and selecte patients clinical factors among care givers of patients with schizophrenia attending psychiatry oupatient unit of Jimma university medical center, South west, Ethiopia, 2019. Method A cross-sectional study design employed involving 422 caregivers of schizophrenic patients using consecutive sampling technique. Data was collected using structured interviewer administrated questionnaires (Family Questioners) which assess the level of expressed emotion, entered into Epidata 4.4 and analyzed by Statistical package for social science (SPSS) version 25. Descripitive statistics used to summerize data, bivariate logistic regression was done to identify candidate variables for multivariable logistic regressions and the association between expressed emotion and predictor variables was identified by using multiple logistic regression model. Results High expressed emotion was observed in 43.6% of respondents. Caring for schizophrenic patients for about 6-8 years, having 3-4 episodes of the illness was significantly associated with high expressed emotion. Conclusions This study revealed that there is high status of care givers expressed emotion compared to other studies. It also showed that number of episode of illnesses had significant association with high caregivers expressed emotion. Health care systems, which provide interventions for patients with schizophrenia, need to design proper strategy to address caregivers need as well. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.27.356873v1?rss=1 Authors: Haile, B., Wolde, M., Gebregziabiher, T. Abstract: Abstract Background: Hypertension is a silent killer that requires long term management to avoid complications. It is one of major public health problem in developing counties like Ethiopia. Hypertension increases the risk of morbidity and mortality and has negative consequences on the cognitive and physical fitness of productivity in adults. Objective: To assess fasting blood glucose, serum electrolyte, albumin, creatinine, urea, and lipid profile among hypertensive patients and non-hypertensive participants at wolaita sodo teaching and referral hospital. Methods: A comparative cross-sectional study was conducted from December 2019 to February 2020. On the study a total of 156 study participants (78 cases and 78 controls) were involved. Each study participant, after signing informed consent, interviewed about the socio-demographic and anthropometric characteristic features. Then 5ml of the blood sample was collected from each 78 patients with hypertension and each 78 samples from apparently healthy subjects from WSUTRH during the period. Fasting blood glucose, serum electrolyte, albumin, creatinine, urea, and lipid profile level were measured in each group. The Data were analyzed by using Epi data version 3.1 and SPSS version 21.0 software (IBM Corporation, USA) and results were summarized using means and percentages and presented by using figures and tables. P-value < 0.05 was considered to be significant at 95% confidence level. Any abnormal laboratory results of study subjects dispatched and communicated with physicians for better management. Results: The mean age of hypertensives and control study groups were 50 {+/-} 10.0 and 51 {+/-} 11.3 years respectively. The body mass index of hypertensives and control study groups were 53.4% and 34.2% overweighed respectively. The mean {+/-} SD of fasting blood glucose, total cholesterol, LDL-C, TG, RFT were significantly increases while serum sodium, calcium, albumin, and HDL- Cholesterol significantly decreased in hypertensives when compared with non-hypertensives and serum potassium was no statistical significance among case and control groups. Conclusion: In present study, we observed that the hypertensive group was at risk for developing biochemical alteration in creatinine, urea, fasting blood glucose, lipid profile, electrolytes, and albumin test parameters with an increased period of time. Recommendation: Regular measurements of biochemical parameters strongly needed for hypertensive patients. Copy rights belong to original authors. Visit the link for more info

Tabii ki çağın en büyük gerekliliklerinden olan istatistik hakkinda atıp tuttuk ama, daha ziyade istatistik bilmenin neden önemli olduğunu anlamaya çalıştık. Kesirleri, yüzdeleri, sayıları, rakamları, dağılımları, olasılığı, deneyi, teoriyi, soranları, sormayanları konuştuk. Akademinin olmazsa olmazı testleri, R’ı, Python’u, SPSS’in damdaki ayakkabısını konuştuk.

Watch this episode on YouTube: https://youtu.be/RnGRqHmVQ2M * Get the Data Leadership Book – https://dataleadershipbook.com * Data Leadership Lessons on YouTube – https://www.youtube.com/c/DataLeadershipLessons* Save 20% on your first order at the DATAVERSITY Training Center with promo code “AlgminDL” – https://training.dataversity.net/?utm_source=algmindl_res * Guest and Sponsorship Inquiries – podcast@algmin.com This week we welcome Keith McCormick. Keith has a wealth of consulting experience in statistics, predictive analytics, and data mining. For many years, he has worked in the SPSS community, first as an External Trainer and Consultant for SPSS Inc., and then in a similar role with IBM. He possesses a BS in Computer Science and Psychology from Worcester Polytechnic Institute. A sought after speaker, he routinely leads workshops at the popular TDWI conferences, and has given keynotes presentations at many international events. He is an expert in IBM’s SPSS software suite including IBM SPSS Statistics, IBM SPSS Modeler, AMOS, and Text Mining. He is active in statistics groups online and blogs at KeithMcCormick.com. He has twelve courses on LinkedIn Learning, and has coauthored 6 books, including SPSS Statistics For Dummies, 4th edition (August 2020), and Effective Data Preparation (Cambridge University Press, Fall 2020). He is an award winning instructor for UC Irvine’s Predictive Analytics certificate program, and serves on the program’s advisory board. Since serving as a VP of analytics for a small consultancy, his consulting has shifted emphasis towards helping his clients build and manage their analytics teams. For more information about our guest:– Keith McCormick on LinkedIn: https://www.linkedin.com/in/keithmccormick/– Home Page: https://KeithMcCormick.com– Book: SPSS Statistics For Dummies: https://www.amazon.com/dp/1118989015

Czy surwiwal to tylko moda? Czy konieczność? Czy w XXI wieku umiejętność nawigacji, rozpalania ognia bez zapałek i innych rzeczy ma głębszy sens, czy jest to jedynie sposób spędzania wolnego czasu? I czym różni się surwiwal od bushcraftu?Posłuchajcie rozmowy Pauliny z Anną Pikus, naczelniczką Wydziału Społecznych Funkcji Lasu DGLP, która opiekuje się pilotażowym projektem związanym z udostępnianiem obszarów do uprawiania bushcraftu i surwiwalu w Lasach Państwowych, i Sergiuszem Boreckim, prezesem Stowarzyszenia Polska Szkoła Surwiwalu.Zapraszamy!Garść linków:

In today’s episode, Greg and Eric share a little bit of good news, followed by a Feats of Strength segment. That’s followed by a Research Roundup segment discussing brand new research on the influence of genes on caffeine responses, recovery postures during high-intensity exercise, time-restricted feeding (intermittent fasting), and concurrent training (cardio + lifting). After that, Greg and Eric field some listener questions in a Q&A segment covering topics including cold exposure, the effects of race and ethnicity on body composition estimation, nutrition during deloads, and hangover prevention tips. Finally, Evan Peikon is featured in this week’s On The Rise segment, and a few off-topic questions are answered to play us out.If you’d like to submit a question for a future Q&A segment, please go to tiny.cc/sbsqa. If you’d like to recommend someone for a future “On the Rise” segment, please go to tiny.cc/creators. If you’d like to receive Research Roundup emails, please sign up for our email list at https://www.strongerbyscience.com/newsletter/.  TIME STAMPSAnnouncements (0:01:00). Good news (0:02:47). Breakthrough For Kenyan Scientists Who Discover Natural Microbe That Completely Stops Malaria in Mosquitoes: https://www.goodnewsnetwork.org/microbe-completely-stops-malaria-in-mosquitoes-discovered/. Specially-Trained Dogs Have Saved 45 Rhinos From Poachers in South Africa: https://www.goodnewsnetwork.org/dogs-have-saved-45-rhinos-from-poachers/. Feats of Strength (0:06:38). Research Roundup (0:16:38). To receive research roundup emails, you can sign up at: https://www.strongerbyscience.com/newsletter/. Caffeine and genetics (0:17:40). Grgic et al. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161272/. https://pubmed.ncbi.nlm.nih.gov/32168870/. Effects of Two Different Recovery Postures during High-Intensity Interval Training (0:33:52). Michaelson et al. https://journals.lww.com/acsm-tj/fulltext/2019/02150/effects_of_two_different_recovery_postures_during.1.aspx. Four Weeks of Time-Restricted Feeding Combined With Resistance Training Does Not Differentially Influence Measures of Body Composition, Muscle Performance, Resting Energy Expenditure, and Blood Biomarkers (0:45:37).  Stratton et al. https://pubmed.ncbi.nlm.nih.gov/32316561/. Adaptations to strength training differ between endurance-trained and untrained women (0:58:14). Vikmoen et al. https://link.springer.com/article/10.1007/s00421-020-04381-x. Q&A (1:09:48). Can cold exposure be used as a fat loss strategy? (1:10:01). Do you buy the idea that certain ethnicities have a genetic tendency to store fat in different places? (1:24:04). Should nutrition be altered during a deload? (1:31:51). Best hangover cure/prevention tips? (1:37:41). On the Rise (1:49:39). Evan Peikon: https://www.instagram.com/evan_peikon/. https://www.trainingthinktank.com/To play us out (1:53:32): Pancakes vs. waffles? Cool Ranch Doritos vs. Nacho Cheese? R or SPSS or Excel? 

El Muestreo Aleatorio Simple es una técnica de selección de muestras que se basa en la selección aleatoria de todos los participantes de la investigación, es decir, se selecciona de forma aleatoria a todos y cada uno de las unidades muestrales que deben responder a la encuesta o investigación. Es preciso cumplir con los siguientes pasos: Se requiere de un Marco Muestral a partir del cual se pueda realizar la selección de los individuos para la muestra. Numerar desde 1 hasta N a todas las unidades del Marco Muestral. Generar números aleatorios, ya sea de forma manual mediante un sorteo de tickets o papeles numerados (método manual) o mediante un software (Excel, SPSS, Lenguaje R, etc.). Marcar o identificar a las unidades muestrales seleccionadas. Aplicar la encuesta solo a los seleccionados en la muestra aleatoria.

Welcome to the Beyond Your Research Degree podcast from the University of Exeter Doctoral College! The podcast about non-academic careers and all the opportunities available to you... beyond your research degree! In this episode PhD student Debbie Kinsey talks to Dr Caitlin McDonald, a University of Exeter alumni who now works at the Leading Edge Forum. Today Caitlin is recognised for her domain knowledge in qualitative methods like ethnography and participant-observation.    Music from https://filmmusic.io 'Cheery Monday' by Kevin MacLeod (https://incompetech.com) License: CC BY (https://creativecommons.org/licenses   Podcast transcript   1 00:00:10,000 --> 00:00:21,000 Hello and welcome to the Beyond Your Research Degree podcast by the University of Exeter, Doctoral College 2 00:00:21,000 --> 00:00:22,000 My name's Dr Caitlin McDonald. 3 00:00:22,000 --> 00:00:31,000 I graduated in 2011 with a degree in Arab and Islamic studies from here at the University of Exeter at the Institute of Arab and Islamic Studies. 4 00:00:31,000 --> 00:00:36,000 And hard as it is to believe that it's now nine years later. 5 00:00:36,000 --> 00:00:39,000 It's it's really interesting to look back on what's happened since that time and 6 00:00:39,000 --> 00:00:45,000 consider the skills that I took away from the university and how I'm applying them now. 7 00:00:45,000 --> 00:00:53,000 So maybe to give you a bit of an update on where I am. I currently work as a digital anthropologist at an organisation called The Leading Edge Forum, 8 00:00:53,000 --> 00:00:59,000 which does technology and strategy research for large businesses and just in the 9 00:00:59,000 --> 00:01:04,000 Last month I was at the UN delivering a talk at the International Labour Organisation. 10 00:01:04,000 --> 00:01:11,000 I then hosted a dinner at the House of Lords about ethics. And I've done a range of interesting and exciting things since then. 11 00:01:11,000 --> 00:01:15,000 But it's really interesting to think about this particular month in particular 12 00:01:15,000 --> 00:01:20,000 and how that the kind of culmination of where I started and how I got here. 13 00:01:20,000 --> 00:01:28,000 So I started working at the Leading Edge forum about two years ago, and before that I was based at what was the Times educational supplement. 14 00:01:28,000 --> 00:01:30,000 But it's no longer known as that it's just the tes 15 00:01:30,000 --> 00:01:43,000 It's no longer owned by the Times, where I was working as a digital analyst, data analyst and working with data systems quite a bit. 16 00:01:43,000 --> 00:01:49,000 So all of that sounds really different than where I started, which was very much middle easy studies based, but really the kind of the through line. 17 00:01:49,000 --> 00:01:55,000 The thread for me was that a lot of the research that I was doing when I was doing my PhD was very digital ethnography based. 18 00:01:55,000 --> 00:02:06,000 So I was looking at patterns of knowledge and how they shift around the world, in particular for dancers who often for Middle Eastern dance, 19 00:02:06,000 --> 00:02:15,000 want to base their practise or to base the centre at the hub of their knowledge in Cairo or sometimes in Turkey or in other kinds of regions. 20 00:02:15,000 --> 00:02:19,000 But in my particular case, I was looking at dancers who had a dance tradition that is based out of Cairo. 21 00:02:19,000 --> 00:02:26,000 And what ended up happening was I did a lot of ethnography around in particular how people were using Facebook groups, 22 00:02:26,000 --> 00:02:32,000 but also other social media channels to spread the knowledge and in the creation of knowledge 23 00:02:32,000 --> 00:02:39,000 about how the dance kind of mythology and epistemology of what the dance meant to people. 24 00:02:39,000 --> 00:02:47,000 And while this doesn't sound really revolutionary now, way back in 2006, 2007, 2008, when I was first doing that, that was fairly new. 25 00:02:47,000 --> 00:02:52,000 You know, there weren't a huge amount of digital humanities tools at the time. 26 00:02:52,000 --> 00:02:59,000 And certainly we weren't using anything like this wonderful lab that we have now. I think this was the old print print shop at the time. 27 00:02:59,000 --> 00:03:04,000 So it was really interesting. But then what ended up happening is I went to do a very quantitative role, 28 00:03:04,000 --> 00:03:08,000 which when you become an anthropologist, you don't necessarily think of yourself as a quantitative person. 29 00:03:08,000 --> 00:03:14,000 Some might. I did not. But it was having that kind of digital skills component that really was able to help me make 30 00:03:14,000 --> 00:03:20,000 the transition from a very academic role into a much more kind of commercially minded role. 31 00:03:20,000 --> 00:03:27,000 And I didn't really intend to leave academia, but around the time that I was leaving, there were huge budget cuts. 32 00:03:27,000 --> 00:03:35,000 So there simply weren't the kind of resources available for people to have postdocs and subsequent academic careers in particular. 33 00:03:35,000 --> 00:03:40,000 As an immigrant to this country, I was I needed to have a role if I wanted to stay working here. 34 00:03:40,000 --> 00:03:46,000 That was not short term. So it had to be a Full-Time full contract. 35 00:03:46,000 --> 00:03:49,000 And luckily, I was able to find something that worked out, which was with the Tes 36 00:03:49,000 --> 00:03:53,000 and they really wanted someone who could help them to an extent of their research skills. 37 00:03:53,000 --> 00:03:58,000 But a lot of the role was really about the kind of Day-To-Day operational knowledge to help the business run. 38 00:03:58,000 --> 00:04:01,000 So that was very, very different from what I previously been doing. 39 00:04:01,000 --> 00:04:07,000 But having this kind of interrogative skills, those kind of basics of a humanities research skills, 40 00:04:07,000 --> 00:04:11,000 those basic social sciences research skills was really helpful or for doing things 41 00:04:11,000 --> 00:04:17,000 like helping question why a particular thing was being done in a particular way. 42 00:04:17,000 --> 00:04:22,000 In particular, I was doing a lot of kind of daily reporting of what was happening on the website and what kinds of numbers 43 00:04:22,000 --> 00:04:29,000 were coming back in terms of circulation and all those kinds of things that digital businesses do. 44 00:04:29,000 --> 00:04:35,000 And really, the thing that was extremely useful was being able to turn around and say, hey, is anyone actually reading this report? 45 00:04:35,000 --> 00:04:40,000 You know, something as simple as this ritual that we go through on a daily basis of producing these numbers. 46 00:04:40,000 --> 00:04:42,000 How are they feeding into our decision making? 47 00:04:42,000 --> 00:04:49,000 And in some senses, that questioning was perhaps not always very welcome, but it also was that helpful to create the conditions for change. 48 00:04:49,000 --> 00:04:54,000 And I think that the social sciences are not always really great about talking about 49 00:04:54,000 --> 00:04:59,000 the transferable skills outside of academia that absolutely do exist. 50 00:04:59,000 --> 00:05:05,000 And I think now we're starting to see in particular with another research area that I do, which is all around ethics. 51 00:05:05,000 --> 00:05:09,000 You're starting to see some of those kinds of questions emerging around. 52 00:05:09,000 --> 00:05:19,000 Who is in charge of this knowledge or what are the kinds of different weights that we put on how we assess particular aspects of 53 00:05:19,000 --> 00:05:27,000 artificial intelligence and its relevance and its usefulness and how is it relevant to and who's benefiting and who's not benefiting? 54 00:05:27,000 --> 00:05:34,000 And I think that having a general social sciences research background, regardless of whether your specialism is in ethics or in, 55 00:05:34,000 --> 00:05:42,000 you know, particular aspects of digital technologies, you know, having that kind of questioning mind is is a really useful thing. 56 00:05:42,000 --> 00:05:49,000 And I think that people who work in digital context are starting to appreciate those qualitative skills, 57 00:05:49,000 --> 00:05:58,000 again, in a way that perhaps has been a little bit subsumed recently. So those kinds of questions around how is this going to benefit not only direct 58 00:05:58,000 --> 00:06:01,000 users of our services or our products or whatever it is that we're building, 59 00:06:01,000 --> 00:06:08,000 but also that kind of contextual knowledge about how is this affecting other people who are going to be impacted by the decisions that we're making? 60 00:06:08,000 --> 00:06:14,000 There is renewed curiosity and interest in those kinds of decisions. And so increasingly, organisations, 61 00:06:14,000 --> 00:06:19,000 businesses and non-commercial organisations are looking to the humanities as well as 62 00:06:19,000 --> 00:06:25,000 engineering to to make up the body of knowledge of creating those products effectively. 63 00:06:25,000 --> 00:06:30,000 So I would say now is a really good time, actually, to be in the digital humanities. 64 00:06:30,000 --> 00:06:35,000 And to some extent, no matter what you're doing, your work is always going to have a digital component. 65 00:06:35,000 --> 00:06:38,000 So recognising that, you know, when you think about the degree that I did, 66 00:06:38,000 --> 00:06:44,000 which was very much based in transmission of knowledge and very much about dance, 67 00:06:44,000 --> 00:06:48,000 you wouldn't necessarily think that that would lead to where it did lead. But in other ways, it makes total sense. 68 00:06:48,000 --> 00:06:54,000 It was a logical chain of transmission. I was looking at the social components of how that knowledge was happening. 69 00:06:54,000 --> 00:07:00,000 And now we are even more immersed in digital technologies. Our careers are even more immersed in this, no matter who you are. 70 00:07:00,000 --> 00:07:06,000 So having that background of having done that, kind of that kind of study was really useful to get me where I am now. 71 00:07:06,000 --> 00:07:11,000 Yeah, it sounds really interesting. So it sounds like so 72 00:07:11,000 --> 00:07:17,000 all PhDs are very specific so yours was around dance and transmission of knowledge between dances and creation of knowledge in that way. 73 00:07:17,000 --> 00:07:24,000 But then it sounds you talk about thinking about things, those things more broadly in terms of the general skills we develop. 74 00:07:24,000 --> 00:07:32,000 And how did you find translating those things from kind of academic speak to then going into a non-academic, non-academic role? 75 00:07:32,000 --> 00:07:40,000 Yeah. I would say that initially it was a real challenge for me, partly because when I first was looking for a job, 76 00:07:40,000 --> 00:07:44,000 I still was applying for a very academic roles, as well as starting to look beyond that. 77 00:07:44,000 --> 00:07:48,000 So I was looking at a lot of roles in market research. I was looking at the National Centre for Social Research. 78 00:07:48,000 --> 00:07:56,000 I was looking at ESRA U.K. you know, you go places like that and they have a more kind of traditional, I would say, research bent. 79 00:07:56,000 --> 00:08:03,000 Whereas if you if you move into, you know, user research and a company, for example, 80 00:08:03,000 --> 00:08:10,000 and most organisations do have a user research arm if they have a digital component, even if that's not their kind of core business, 81 00:08:10,000 --> 00:08:14,000 but that the language of that is very different from what perhaps you might be talking about 82 00:08:14,000 --> 00:08:18,000 if you're coming out of the social sciences or have a real kind of pure research background. 83 00:08:18,000 --> 00:08:22,000 So but the advantage of being an anthropologist or a sociologist or someone who 84 00:08:22,000 --> 00:08:26,000 studies the way that people think about knowledge is that you can then apply 85 00:08:26,000 --> 00:08:31,000 all the research skills that you have to your own situation so you can notice 86 00:08:31,000 --> 00:08:34,000 the kinds of patterns of knowledge that are happening in your organisation. 87 00:08:34,000 --> 00:08:41,000 You can notice the particular language that people are using around things and say, OK, you know, this group is talking about doing AB testing. 88 00:08:41,000 --> 00:08:46,000 You know, I might describe that differently in my own historical research background or whatever it was. 89 00:08:46,000 --> 00:08:50,000 But actually, the actual things that you need to do, the mechanics of the research are the same. 90 00:08:50,000 --> 00:08:55,000 So simply learning the kind of patterns of the patterns of life and work in 91 00:08:55,000 --> 00:08:58,000 the organisation that you find yourself in is a really useful skill to apply. 92 00:08:58,000 --> 00:09:03,000 So I spent probably two or three years mostly working in a digital engineering team. 93 00:09:03,000 --> 00:09:11,000 People that were doing actual software creation. And my role there was to assist with data migration that was happening. 94 00:09:11,000 --> 00:09:16,000 So we essentially had a place that we'd been storing all of this hard quantitative data 95 00:09:16,000 --> 00:09:20,000 that we were collecting over the years about how that Web site that we had was being used. 96 00:09:20,000 --> 00:09:26,000 And then we were changing everything about the underlying infrastructure and technology that we had into a completely different data storage system. 97 00:09:26,000 --> 00:09:31,000 And my role is to make sure that as we were doing that, nothing got lost. 98 00:09:31,000 --> 00:09:35,000 The data was collected in the same way. Nothing was missing. 99 00:09:35,000 --> 00:09:44,000 Nothing suddenly looked out of place. And so part of that was doing things like mapping the infrastructure from how the old data system work, 100 00:09:44,000 --> 00:09:49,000 doing what's called an entity relationship diagram, and looking at what the new entity relationships would be. 101 00:09:49,000 --> 00:09:52,000 So the places where the data was collected from the stored. 102 00:09:52,000 --> 00:09:59,000 And as I was doing those, I was like, this is a lot like doing essentially is family tree diagrams. 103 00:09:59,000 --> 00:10:04,000 You know, it's very much the same thing where you're looking at where are things transmitting from A to Z. 104 00:10:04,000 --> 00:10:09,000 So you can use all those kinds of same skills. And also just the kind of. 105 00:10:09,000 --> 00:10:12,000 That sense that I would get when I would go in and if I didn't know what people were 106 00:10:12,000 --> 00:10:17,000 talking about or if I felt like there was something unspoken or something happening, 107 00:10:17,000 --> 00:10:23,000 I didn't quite understand, I would behave exactly as though I were doing ethnography with a community, 108 00:10:23,000 --> 00:10:30,000 which is to try and treat the knowledge that I was a part of as being something that was that I was studying, you know. 109 00:10:30,000 --> 00:10:33,000 And so kind of having that observational hat on. 110 00:10:33,000 --> 00:10:37,000 First of all, it really helped defuse some situations that could have otherwise been quite personally demanding. 111 00:10:37,000 --> 00:10:41,000 Because if you just view it as I'm learning about what's going on within this group, 112 00:10:41,000 --> 00:10:47,000 then you're kind of personal sense of responsibility about that while still high because you were working there. 113 00:10:47,000 --> 00:10:52,000 It doesn't feel quite so rooted in your own sense of identity, I suppose, 114 00:10:52,000 --> 00:10:57,000 because you can also treat it as I'm viewing this as objectively separate from myself. 115 00:10:57,000 --> 00:10:59,000 And also then, you know, 116 00:10:59,000 --> 00:11:05,000 eventually you will pick up the lingo and you will learn the skills and you will realise the patterns that are happening within your organisation. 117 00:11:05,000 --> 00:11:12,000 And that's really helpful for putting the right pieces in place at the right time to achieve the things that you want to achieve in your career. 118 00:11:12,000 --> 00:11:18,000 Yeah, yeah. It's kind of like learning the language when you're there using those skills. 119 00:11:18,000 --> 00:11:22,000 You already have to kind of pick up on that. Precisely. 120 00:11:22,000 --> 00:11:27,000 Yeah. And how did you find it kind of before that stage, kind of making applications, 121 00:11:27,000 --> 00:11:32,000 trying to write and tailor things in such a way that you're using a language you're not quite sure of yet? 122 00:11:32,000 --> 00:11:36,000 And kind of that probably is the hardest piece. 123 00:11:36,000 --> 00:11:41,000 I would say, because you're not yet immersed enough in the transition that you want to make. 124 00:11:41,000 --> 00:11:50,000 To really know what you need to say so that your legitimacy of knowledge in that spaces is understood. 125 00:11:50,000 --> 00:11:54,000 And you also simply don't have the connections, perhaps, that you would do once you've moved into the space. 126 00:11:54,000 --> 00:12:03,000 So I'd say if I were going to do anything differently, probably what I would do is, you know, 127 00:12:03,000 --> 00:12:08,000 and especially for students who are listening to this now that are maybe in their first or second year, 128 00:12:08,000 --> 00:12:13,000 I would have spent a little bit more time thinking about how am I going to make the 129 00:12:13,000 --> 00:12:17,000 kinds of connections I want to make to understand the spaces that are available to me, 130 00:12:17,000 --> 00:12:19,000 like what are the options that are out there? And, B, 131 00:12:19,000 --> 00:12:29,000 make the Connections to really form the right network so that at the right time I have the right information about what roles are available and 132 00:12:29,000 --> 00:12:38,000 potentially who can introduce me to the right kind of person to to know about a job that's that's out there and the right kinds of skills. 133 00:12:38,000 --> 00:12:44,000 So because skills do change in terms of need, employer need, and what they're looking for will change over time. 134 00:12:44,000 --> 00:12:51,000 So having an idea of how that space is shifting will allow you to see not only what's on the on the market right now or what's needed in the market, 135 00:12:51,000 --> 00:12:56,000 but you can get an understanding of what's going to be needed by the time I leave, 136 00:12:56,000 --> 00:12:59,000 because you can kind of observe the trends that are happening and say, OK. 137 00:12:59,000 --> 00:13:07,000 So if I put some resources into, for example, learning how to do network mapping or doing a bit more on the kind of digital skill side, 138 00:13:07,000 --> 00:13:14,000 then I'll be more valuable than if I'm spending time doing something else. Which isn't to say, of course, that you shouldn't focus on your degree. 139 00:13:14,000 --> 00:13:19,000 I mean, you know, it's such a kind of you have to get over that hurdle more than anything else. 140 00:13:19,000 --> 00:13:26,000 Right? That is the thing to get through. But I'd say a really crucial skill is networking. 141 00:13:26,000 --> 00:13:32,000 And I know that everyone always says that. And people find it can find it very overwhelming. 142 00:13:32,000 --> 00:13:39,000 But I think the thing to remember is networking is a skill that allows you to understand 143 00:13:39,000 --> 00:13:44,000 some knowledge that's out there in the world that you don't yet have in an informal way. 144 00:13:44,000 --> 00:13:48,000 So if you view it in that sense, then it can be less overwhelming. 145 00:13:48,000 --> 00:13:53,000 And I found as well, once I started learning to have an objective when I went to a networking event. 146 00:13:53,000 --> 00:14:03,000 So I go to a lot of digital skills, meet ups in London, or I try and attend a lot of webinars or whatever it is I'm trying to learn about. 147 00:14:03,000 --> 00:14:08,000 I look for places where I can find that information and in particular I potentially can 148 00:14:08,000 --> 00:14:14,000 share some information as well because people are always willing to engage with you. 149 00:14:14,000 --> 00:14:18,000 First of all, if you're interested in them and ask them questions, everyone loves talking about themselves. 150 00:14:18,000 --> 00:14:23,000 This is like the crucial skill of good networking is if you can get someone, if you can express interest in them. 151 00:14:23,000 --> 00:14:27,000 People are usually very willing to tell you more about what they're doing, 152 00:14:27,000 --> 00:14:33,000 but also people are usually have some kind of a need that if you can fulfil that need in some way, 153 00:14:33,000 --> 00:14:39,000 like having a slightly adjacent skill or a different skill that they're looking for, then they'll want to talk to you as well. 154 00:14:39,000 --> 00:14:47,000 So so building that skill of saying, OK, there is a big data meetup on Wednesday, I'm going to go and 155 00:14:47,000 --> 00:14:52,000 My goal is to find out either a little bit more about this particular topic or to meet someone that works in this 156 00:14:52,000 --> 00:15:00,000 business or to find someone that has this job title and just speak to them a little bit about whatever my objective is. 157 00:15:00,000 --> 00:15:08,000 Having that focus can really, really make it much easier because you feel less overwhelmed by the idea of networking in general. 158 00:15:08,000 --> 00:15:16,000 That can. Huge kind of topic and kind of focussing it on something smaller to achieve can make can make life just a little bit less overwhelming. 159 00:15:16,000 --> 00:15:20,000 Yeah, yeah, definitely. I think a lot people do get it. Oh, you've got to network. 160 00:15:20,000 --> 00:15:24,000 But then what does that really mean? What does it look like in practise. They kind of. 161 00:15:24,000 --> 00:15:31,000 Yeah. So to get tip of going to something with an objective and kind of having a little bit of reciprocity in that, 162 00:15:31,000 --> 00:15:36,000 like maybe there's two things you can offer as well as getting people to talk about themselves. 163 00:15:36,000 --> 00:15:42,000 Yeah. And honestly, the other thing that I would say, which is a really good tip, is even if you're fairly early in your career, 164 00:15:42,000 --> 00:15:47,000 especially if you're looking at a non-academic role, getting up there and being a speaker. 165 00:15:47,000 --> 00:15:54,000 So, you know, it gives it gives you a chance to showcase what you're doing or the kinds of knowledge and skills that you have. 166 00:15:54,000 --> 00:15:57,000 But it also gives people an excuse to talk to you at a networking event. 167 00:15:57,000 --> 00:16:01,000 And even if you're an introvert, actually, as scary as it could be to go on stage, 168 00:16:01,000 --> 00:16:08,000 giving a talk is a really excellent way of putting the burden on others to come and talk to you so you don't have 169 00:16:08,000 --> 00:16:12,000 to feel like you're trying to muscle your way into someone else or to identify a friendly face in the crowd, 170 00:16:12,000 --> 00:16:17,000 because everyone knows that you're so and so talked about the thing and then they might want to come ask you questions. 171 00:16:17,000 --> 00:16:23,000 So it's a really great way of, you know, it's essentially you saying I'm here, I can talk about this. 172 00:16:23,000 --> 00:16:29,000 And I'd say the real value is that in the personal connections, the one on one connections that you make after you've given the talk. 173 00:16:29,000 --> 00:16:34,000 So even a short you know, in particular, when I think about the technology team, 174 00:16:34,000 --> 00:16:40,000 which is mostly what I work in, there are tons of events, in particular London, where I live. 175 00:16:40,000 --> 00:16:44,000 You could probably go to multiple. You'd have your choice of events to go to every evening. 176 00:16:44,000 --> 00:16:49,000 And typically they're very short form talks, two to three minutes about a subject of interest. 177 00:16:49,000 --> 00:16:55,000 So there's usually lots of opportunities to get in and kind of on the ground floor of the ladder of speaking, as it were. 178 00:16:55,000 --> 00:17:02,000 If you're in a place that has less accessible resources in that way, there are definitely a lot of online resources. 179 00:17:02,000 --> 00:17:08,000 And in particular, I think now that there is so much fear about physically being lots of people together, 180 00:17:08,000 --> 00:17:14,000 lots of the kinds of events that I would typically have gone to are going to be thinking about moving online more and more. 181 00:17:14,000 --> 00:17:16,000 And the way that we develop essentially digital etiquette. 182 00:17:16,000 --> 00:17:24,000 So, you know, how people develop those kinds of informal connections is going to become increasingly important. 183 00:17:24,000 --> 00:17:30,000 You know, it's relatively easy to put together a podcast or a webinar that is one way broadcast content, 184 00:17:30,000 --> 00:17:35,000 but creating those connections that those networking events are really valuable for. 185 00:17:35,000 --> 00:17:40,000 There are very few ways that people are good at that right now. But I think increasingly that's a thing that people will get good at. 186 00:17:40,000 --> 00:17:46,000 So I'd say look for opportunities in that space where you can not only watch a piece of content, 187 00:17:46,000 --> 00:17:52,000 but also in some way contribute to an ongoing dialogue and meet people through that kind of a mechanism. 188 00:17:52,000 --> 00:18:02,000 I'm trying to think of other examples of good kind of asynchronous or at a distance ways that people can learn and connect with one another. 189 00:18:02,000 --> 00:18:06,000 I subscribe to a lot of newsletters about such just some interest to me professionally as well. 190 00:18:06,000 --> 00:18:12,000 Usually reaching out to someone and saying, I read this thing or I have a question about whatever it is, 191 00:18:12,000 --> 00:18:16,000 you won't always have a hundred percent success so that people will get a lot of demands on their time, 192 00:18:16,000 --> 00:18:19,000 particularly as they get more skilled or experienced in their space. 193 00:18:19,000 --> 00:18:24,000 But often people are again willing to talk about something or willing to connect with you, 194 00:18:24,000 --> 00:18:29,000 you know, to answer a question or to be involved or engaged in something. 195 00:18:29,000 --> 00:18:34,000 People are typically very generous with their time, you know, especially if you're only asking for 10 minutes or, you know, 196 00:18:34,000 --> 00:18:41,000 whatever it is, a small or small chunk of time is usually a good way to go in, particularly if you can be specific about your ask. 197 00:18:41,000 --> 00:18:49,000 That really helps people to engage with you quickly is instead of being like, hey, I read your thing, will you be my mentor? 198 00:18:49,000 --> 00:18:53,000 That's that's often too open ended. But if you say I read your thing, it was interesting. 199 00:18:53,000 --> 00:18:57,000 Specifically, I have a question about blah. You can often then open a dialogue in that way. 200 00:18:57,000 --> 00:19:05,000 Yeah. So it kind of being specific and kind of very much time limited when you're asking of people. 201 00:19:05,000 --> 00:19:11,000 And yeah. And it's really interesting to think about kind of non sort of Face-To-Face in person ways you can do networking. 202 00:19:11,000 --> 00:19:15,000 I think a lot of people think of networking as you got to go to this event and a lot 203 00:19:15,000 --> 00:19:18,000 of PGRs are part time or they have caring responsibilities and they just think, 204 00:19:18,000 --> 00:19:23,000 oh, I just can't do that. Actually, there are all these other ways that you can get involved. 205 00:19:23,000 --> 00:19:28,000 Yeah. And like I say, I think that those kind of online and asynchronous abilities are where the necessity for those 206 00:19:28,000 --> 00:19:34,000 is going to become increasing over the next few months and probably years after that as well. 207 00:19:34,000 --> 00:19:39,000 You know, because businesses have long been looking for ways to encourage less business travel, for example. 208 00:19:39,000 --> 00:19:43,000 And it's always, oh, it's too hard. There's no way to do this. It's impossible. 209 00:19:43,000 --> 00:19:49,000 And one of my current research areas is how digital technologies are actually changing the physical spaces that people work. 210 00:19:49,000 --> 00:19:57,000 And so right now is a real kind of fascinating live experiment for me to watch the way the businesses are responding to the current pandemic crisis. 211 00:19:57,000 --> 00:20:00,000 And I think that that really will change a lot of the things that we're thinking about. 212 00:20:00,000 --> 00:20:05,000 In particular, you look at things like slack channels for technology. 213 00:20:05,000 --> 00:20:09,000 Conferences have always been very popular, but. 214 00:20:09,000 --> 00:20:14,000 It's going from that being a kind of adjacent thing to the event, to being that is the event. 215 00:20:14,000 --> 00:20:17,000 You know, video conferencing again. It's not like that's a new technology, 216 00:20:17,000 --> 00:20:24,000 but the way that people get comfortable with using those things in particular in large groups is going to be really interesting. 217 00:20:24,000 --> 00:20:31,000 I think how people understand the visual and audio cues that they're getting on multiple person calls is going 218 00:20:31,000 --> 00:20:37,000 to be interesting because you often have these kind of slightly weird signals where if you were in person. 219 00:20:37,000 --> 00:20:42,000 So, of course, you know, we're probably sitting about four or five feet apart as we're recording this podcast. 220 00:20:42,000 --> 00:20:47,000 And that has a particular kind of etiquette about the way that we do distancing 221 00:20:47,000 --> 00:20:52,000 But if you're in a video conferencing situation, people often have the camera at a slightly weird distance. 222 00:20:52,000 --> 00:20:55,000 So you either feel like you're too close or you're too far away. 223 00:20:55,000 --> 00:21:01,000 And that gives different cues to how you perceive that interaction, where they have the microphone to close it. 224 00:21:01,000 --> 00:21:05,000 It's like they're breathing on you. I don't know if you've had that experience. I'm sure everyone has. 225 00:21:05,000 --> 00:21:09,000 And it's that really sets up a very different kind of interaction. 226 00:21:09,000 --> 00:21:13,000 And I think that as these technologies become ever more ubiquitous, 227 00:21:13,000 --> 00:21:17,000 people are going to have to be getting better at understanding what those implications 228 00:21:17,000 --> 00:21:21,000 are of sound and eyesight and what that means for people's comfort level of distancing. 229 00:21:21,000 --> 00:21:25,000 So that for me, is very fascinating subject right now. Yeah, yeah. There's so much to explore. 230 00:21:25,000 --> 00:21:29,000 And it's going to be interesting how it develops like over the next couple of months especially. 231 00:21:29,000 --> 00:21:35,000 Definitely. And you mentioned that he thought networking would be particularly with people in the early 232 00:21:35,000 --> 00:21:41,000 stage of their PhD just in terms of finding out about what different entities are doing, 233 00:21:41,000 --> 00:21:42,000 how things are moving and trends, 234 00:21:42,000 --> 00:21:48,000 and then they can use that to think about what skills do I need to pick up and develop and see if someone was interested 235 00:21:48,000 --> 00:21:55,000 in doing the kind of work that you do like as a digital anthropologist and all the various things that that's include 236 00:21:55,000 --> 00:22:01,000 What kinds of experiences would be useful for people to try and pick up alongside or as part of the PhD 237 00:22:01,000 --> 00:22:05,000 I think one of the it's important to focus on one of the reasons that I think it's important 238 00:22:05,000 --> 00:22:09,000 to do this early in your academic career is because when you are working in academia, 239 00:22:09,000 --> 00:22:14,000 unless you are doing something part time or you have prior experience outside of academia, 240 00:22:14,000 --> 00:22:19,000 the people who are teaching you so often don't have the experience of working outside of academia. 241 00:22:19,000 --> 00:22:25,000 So they are simply not in a very good position to advise you about if you want to explore non-academic options. 242 00:22:25,000 --> 00:22:28,000 What that transition looks like, what kinds of skills are being looked for. 243 00:22:28,000 --> 00:22:33,000 They can't really advise you on the kind of non-academic lingo unless they themselves are also doing some of this stuff. 244 00:22:33,000 --> 00:22:35,000 This is all, of course, very context dependent. 245 00:22:35,000 --> 00:22:39,000 You have some departments who are very different or you have university support services which can help you. 246 00:22:39,000 --> 00:22:46,000 But in general, my experience when I was a PhD student was that of many others that I spoke to was that they simply weren't 247 00:22:46,000 --> 00:22:55,000 able to bridge that gap into the commercial realm because they didn't have the right advice at the time. 248 00:22:55,000 --> 00:22:59,000 And being an anthropologist and someone who does a lot of ethnography 249 00:22:59,000 --> 00:23:05,000 I always think that the best way of learning about something is going to immerse yourself in that thing and then experiencing it for yourself. 250 00:23:05,000 --> 00:23:12,000 So finding an internship or some kind of work experience, I know it's less common for older people to be doing those. 251 00:23:12,000 --> 00:23:20,000 But you can usually find something. And there are often places that will offer short work placements even to postgraduate students, 252 00:23:20,000 --> 00:23:26,000 although it is you know, sometimes they're not quite very well set up for that. But, you know, there are definitely places that are doing it, 253 00:23:26,000 --> 00:23:29,000 especially if they're interested either in your area of research or the kinds of creative skills that 254 00:23:29,000 --> 00:23:35,000 you can bring to the situation that you're looking at and doing those fairly early on in your career. 255 00:23:35,000 --> 00:23:42,000 Gives you an opportunity to understand more about yourself, what you like and what you don't like instead of waiting until the end and thinking, hey, 256 00:23:42,000 --> 00:23:48,000 I'm just going to sit out in the wide world and having this wonderful badge of my degree is going to 257 00:23:48,000 --> 00:23:55,000 tell people something about who I am and the kind of skills I have often in a commercial setting. 258 00:23:55,000 --> 00:24:03,000 You know, you might recognise the value of a PhD, but you won't understand how that applies to your business. 259 00:24:03,000 --> 00:24:09,000 So particular for early people who are just out of the PhD 260 00:24:09,000 --> 00:24:16,000 It's a hard sell because in essence, from an employer perspective, they're seeing it was just a regular graduate who is a little bit more expensive. 261 00:24:16,000 --> 00:24:18,000 And that can be challenging to overcome that. 262 00:24:18,000 --> 00:24:27,000 You know, I'd say after your first job or first couple of jobs, when you move it to either a more managerial role or more strategic looking role, 263 00:24:27,000 --> 00:24:33,000 then people begin to value your active experience more than they did when you were first out of the gate. 264 00:24:33,000 --> 00:24:37,000 So that's really tough because that's kind of the biggest hurdle is is getting into your first job. 265 00:24:37,000 --> 00:24:46,000 It's a very much kind of a catch 22 situation. But coming in from your your postgraduate experience, having had some commercial experience as well, 266 00:24:46,000 --> 00:24:52,000 puts you in a much stronger position than to be looking at a commercial role because people can 267 00:24:52,000 --> 00:24:57,000 people make assumptions about your commercial experience when they're reviewing your CV or your, 268 00:24:57,000 --> 00:25:03,000 you know, as you're being in your hiring process than they will about someone who's just coming with no experience. 269 00:25:03,000 --> 00:25:08,000 That's obvious to them. Yeah. So it sounds like it's really important. 270 00:25:08,000 --> 00:25:16,000 First, few roles to really think to really keep in mind that someone else won't know, understand what a PhD is. 271 00:25:16,000 --> 00:25:21,000 Also all the skills involved. So you really have to work at both getting other experiences, 272 00:25:21,000 --> 00:25:27,000 maybe then also how you kind of market those things, I guess what those skills mean from your PhD. 273 00:25:27,000 --> 00:25:31,000 It's not just I did this degree and there's nothing about it that makes sense. 274 00:25:31,000 --> 00:25:39,000 Yeah. Yeah. Yeah. And also, it's worth remembering that in a commercial setting, the word research can mean very different things. 275 00:25:39,000 --> 00:25:47,000 So I'm doing some doing a little bit of research on what is the commercial we're looking for and what do those kinds of roles do. 276 00:25:47,000 --> 00:25:55,000 And if I'm if I'm right. Gosh, the PGR resource that I'm forgetting the name of. 277 00:25:55,000 --> 00:25:59,000 But it's like academia to ac-doc or something like that. Yeah. 278 00:25:59,000 --> 00:26:02,000 I can find it to be linked. That would be awesome. Thank you. So. 279 00:26:02,000 --> 00:26:06,000 So there's some good kind of role descriptions of, you know, what does a U x designer do. 280 00:26:06,000 --> 00:26:10,000 And what does a commercial analyst do. 281 00:26:10,000 --> 00:26:14,000 And things of that nature that are just kind of general descriptions of jobs that are out there in 282 00:26:14,000 --> 00:26:20,000 the market and getting an understanding of what the language is that's used around those roles is 283 00:26:20,000 --> 00:26:25,000 really helpful because you can then tailor your CV to reflect those skills specifically and in 284 00:26:25,000 --> 00:26:31,000 particular to take some projects that you've done and demonstrate how those skills relate to that role. 285 00:26:31,000 --> 00:26:35,000 So essentially, it means you as the person coming into the job, 286 00:26:35,000 --> 00:26:41,000 you have to be a bit more forward stepping and thinking to to to the commercial 287 00:26:41,000 --> 00:26:46,000 person to give them an understanding of what you want them to see about that. 288 00:26:46,000 --> 00:26:49,000 That relates to their job that they have on the market. 289 00:26:49,000 --> 00:26:55,000 And that can be challenging because, again, sometimes the language is, you know, very jargonistic in particular. 290 00:26:55,000 --> 00:27:00,000 And, you know, if you've worked in a commercial setting, you might understand the particularities of what they're looking for. 291 00:27:00,000 --> 00:27:04,000 Whereas if you haven't, you don't really know what they're looking for. 292 00:27:04,000 --> 00:27:08,000 But trying to get informal interviews with people just to understand what they're specifically 293 00:27:08,000 --> 00:27:12,000 asking or getting in examples of prior work that other people who are in that field have done. 294 00:27:12,000 --> 00:27:19,000 So that's why networking isn't just about learning from people who are already hiring managers. 295 00:27:19,000 --> 00:27:24,000 It's not just about trying to find people who are looking for, you know, who have jobs on offer, 296 00:27:24,000 --> 00:27:29,000 but also about meeting people in those roles and finding out what their backgrounds are and how they got into that role. 297 00:27:29,000 --> 00:27:35,000 So it's really important, even just pure networking, can be super important to to understand how they bridge that gap and how they got into that space. 298 00:27:35,000 --> 00:27:41,000 Yes, I say there's a lot to do in terms of not having assumptions yourself. 299 00:27:41,000 --> 00:27:45,000 Someone else will understand what you're talking about then not assuming that 300 00:27:45,000 --> 00:27:48,000 you also know what they're talking about when they say research and you say, I've done this research, 301 00:27:48,000 --> 00:27:52,000 you might be talking about two completely different things and you might not either 302 00:27:52,000 --> 00:27:57,000 have a good match or they might not realise that you might be a good match. And talking to other people, 303 00:27:57,000 --> 00:28:03,000 who are in the field and their experiences can really help to sort of reach those gaps and find that language like you say, 304 00:28:03,000 --> 00:28:08,000 before you're fully immersed in whatever field. Is that kind of thing. 305 00:28:08,000 --> 00:28:17,000 Yeah. Yeah. Precisely. Yeah. So you say if someone was applying to work with you with that particular things that you are looking for in 306 00:28:17,000 --> 00:28:23,000 terms of how people put those things across or things you'll particularly like not looking for things like, 307 00:28:23,000 --> 00:28:27,000 nope, don't do that. Yeah. Let me answer that question in two ways. 308 00:28:27,000 --> 00:28:31,000 So where I work now, we are essentially a small consortium of researchers who have very different skills. 309 00:28:31,000 --> 00:28:37,000 So you can think about in an academic setting as being like an area skills department where you might have an economist and an anthropologist 310 00:28:37,000 --> 00:28:44,000 and a musicologist and whoever else that are all working on either a particular geographic region or some kind of conceptual region. 311 00:28:44,000 --> 00:28:47,000 But they all have very, very different skills that they're bringing to the table. 312 00:28:47,000 --> 00:28:53,000 And they might not even work very closely together, although they might on some projects. So that's really where I work now, is like that. 313 00:28:53,000 --> 00:28:57,000 We all have very specialised skills. I'm the only digital anthropologist on the team. 314 00:28:57,000 --> 00:29:04,000 The other people who have more skills that are focussed on looking at things like digitisation and cloud 315 00:29:04,000 --> 00:29:14,000 technologies and organisational strategy and some in some cases software engineering concepts and things like that. 316 00:29:14,000 --> 00:29:17,000 So we all have very, very different goals. 317 00:29:17,000 --> 00:29:23,000 So when we look for someone, we're typically looking for someone who has different skills and what we already have. 318 00:29:23,000 --> 00:29:34,000 I would say in the roles that we're doing, if I was hiring someone to be an assistant to me, then I probably would be looking for. 319 00:29:34,000 --> 00:29:37,000 Usually I've done that in a kind of short term project way. 320 00:29:37,000 --> 00:29:44,000 So in that case, it will very much depend on other project is when we hire into the the LEF. 321 00:29:44,000 --> 00:29:49,000 More broadly, we probably will be looking for somebody with a fair amount of commercially experience already. 322 00:29:49,000 --> 00:29:53,000 So I probably wouldn't see that as a good was a good starting role for somebody who has a PhD. 323 00:29:53,000 --> 00:30:03,000 But, you know, I've managed to make it there eventually. So I think if you want to work in an organisation that's like the one that ours is, 324 00:30:03,000 --> 00:30:08,000 then it's a matter of figuring out what kinds of steppingstones you need to put him. 325 00:30:08,000 --> 00:30:10,000 Along the way to get there. 326 00:30:10,000 --> 00:30:20,000 So to answer the question more from the perspective of my old job, when I was doing a more kind of data science y data analysis, background. 327 00:30:20,000 --> 00:30:30,000 When we were first hiring people who were typically coming straight out of their degrees for junior analyst roles. 328 00:30:30,000 --> 00:30:32,000 That was a very quantitatively oriented department. 329 00:30:32,000 --> 00:30:42,000 So we were typically looking for some examples of statistical knowledge, some potentially familiarity with statistical package software. 330 00:30:42,000 --> 00:30:47,000 And interestingly, there's not a lot of crossover between academic usage of those things. 331 00:30:47,000 --> 00:30:53,000 So you typically might be doing SPSS or quite a lot of stuff with, ah, potentially some stuff with Python. 332 00:30:53,000 --> 00:30:57,000 And what commercial organisations use in those spaces. 333 00:30:57,000 --> 00:31:01,000 Obviously all the maths is the same, but they simply are using different kinds of software packages. 334 00:31:01,000 --> 00:31:06,000 So we wouldn't always be looking for some experience in those commercial packages, 335 00:31:06,000 --> 00:31:14,000 which are things like Tableau and Click View and software package called Looker. 336 00:31:14,000 --> 00:31:18,000 But if they had some, that was usually perceived as an advantage. 337 00:31:18,000 --> 00:31:26,000 But if they had Python, our other stuff, we knew that they'd worked with statistical package software before and that was OK. 338 00:31:26,000 --> 00:31:35,000 We also were looking for people who at the time, again, very quantitive were all but we wanted people who could look at a set of data 339 00:31:35,000 --> 00:31:39,000 and see where there were irregularities or unusual things happening so that 340 00:31:39,000 --> 00:31:48,000 they could then raise a challenge in terms of either how the data was being collected or an anomaly of some kind in what was happening with the data. 341 00:31:48,000 --> 00:32:01,000 So you needed to have a bit of an investigative hat. And I would say my role there as an anthropologist was much more about assisting 342 00:32:01,000 --> 00:32:06,000 people with the kind of more ephemeral qualities of questioning those things. 343 00:32:06,000 --> 00:32:15,000 So while I did have a very quantitative role when I was there, I wasn't necessarily doing a lot of the kind of data sciences side of things. 344 00:32:15,000 --> 00:32:20,000 A lot of it was more of the summary statistics. And then, OK, we've noticed that there's an unusual pattern. 345 00:32:20,000 --> 00:32:23,000 What are some creative ideas we can think about, about in terms of why that might be? 346 00:32:23,000 --> 00:32:29,000 So you needed that mixture of people who could do the the crunchier side of the maths, 347 00:32:29,000 --> 00:32:39,000 but also say things like all the schools are on holiday this week or there's been a strike in Chicago teaching in the Chicago teaching union 348 00:32:39,000 --> 00:32:46,000 And so therefore, we're having less people who are logging on to share their stories with us this week or whatever it might be. 349 00:32:46,000 --> 00:32:53,000 So there is kind of that social side in terms of understanding what you know, if you see something unusual, what might it be? 350 00:32:53,000 --> 00:32:59,000 So a lot of my role in the end was really about training the newer trainees so they would come in with a more kind of hard sciences background. 351 00:32:59,000 --> 00:33:05,000 And then my role would be to help them. Question. When you see something unusual, why might that be so they can answer a lot of questions about this. 352 00:33:05,000 --> 00:33:09,000 Looks weird, but they didn't necessarily know what to do with that information. And my role is to help them understand that. 353 00:33:09,000 --> 00:33:12,000 Know how could you then question this more broadly? Yeah. 354 00:33:12,000 --> 00:33:18,000 So it's kind of, um, combining those that kind of hard science, the social sciences types together. 355 00:33:18,000 --> 00:33:25,000 Precisely. And I would say if you depending on the size of the organisation you're with, you often find that you get blended teams. 356 00:33:25,000 --> 00:33:31,000 So and that can be a real strength when you're able to when you're able to have people who have strengths in different areas, 357 00:33:31,000 --> 00:33:37,000 it allows you to see information in a different way than if you are just one person is looking at it in one way. 358 00:33:37,000 --> 00:33:42,000 And of course, there's always the wonderful idea of having everyone have all of the skills. 359 00:33:42,000 --> 00:33:44,000 But people are simply going to have different strengths. 360 00:33:44,000 --> 00:33:48,000 And recognising where they can contribute the most is really important for any organisation to do. 361 00:33:48,000 --> 00:33:56,000 Yeah. Yeah, sure. I know I say sounds like you're saying your current role and maybe that's a person that's listenings dream. 362 00:33:56,000 --> 00:34:03,000 Well, they want to work in a team, but it's a case that you won't necessarily do that straight away to think about the kind of work. 363 00:34:03,000 --> 00:34:08,000 What are the steps and experiences I need to get to that point. If that's the kind of thing I want to be aiming for. 364 00:34:08,000 --> 00:34:12,000 Yeah. Precisely. So a good example would be like, there is no way that I would have the job I have now, 365 00:34:12,000 --> 00:34:15,000 even though my role is much more qualitative than it was previously. 366 00:34:15,000 --> 00:34:21,000 If I hadn't had my experience where I was doing essentially the kind of hard number crunching for the past six years before that, 367 00:34:21,000 --> 00:34:26,000 because it gave me experiences like managing a team, give me a lot of organisational operational experience. 368 00:34:26,000 --> 00:34:32,000 So I understood the different parts of what most businesses have in terms of the kinds of ways that they're set up. 369 00:34:32,000 --> 00:34:39,000 Give me a lot of experience around kind of standard ways of doing commercial modelling for different kinds of things. 370 00:34:39,000 --> 00:34:45,000 So then when I go into businesses now where where I'm advising them, I usually understand the organisational setup pretty well. 371 00:34:45,000 --> 00:34:53,000 Because, you know, though, of course, there are differences, there are definitely commonalities in terms of how large organisations are always set up. 372 00:34:53,000 --> 00:34:55,000 So if I hadn't had that experience, 373 00:34:55,000 --> 00:35:01,000 I wouldn't simply I've simply wouldn't be able to kind of stretch to putting myself in the shoes of the organisations I work with. 374 00:35:01,000 --> 00:35:08,000 So so, yeah, it's definitely that kind of sense of, OK, if I want to someday work in a think tank or work in a research. 375 00:35:08,000 --> 00:35:15,000 organisation or something of that nature or go into a kind of political policy organisation. 376 00:35:15,000 --> 00:35:17,000 What do I need to do so that when I get there, 377 00:35:17,000 --> 00:35:25,000 I have the right mixture of skills and background and essentially area knowledge so that I can really provide the most value in that kind of role. 378 00:35:25,000 --> 00:35:33,000 Yeah, yeah. And when you were moving to your first role at tes, like, how did you find because obviously that was quite different in terms of quantitative, 379 00:35:33,000 --> 00:35:39,000 in terms of applying for that role, how you sort of sold your skills in that setting mixture thing. 380 00:35:39,000 --> 00:35:43,000 So I had applied for several different things around that time. 381 00:35:43,000 --> 00:35:49,000 I specifically remembers applying for internship and publishing as well. And I was applying at that time as well as it has. 382 00:35:49,000 --> 00:35:55,000 And the tes connection was actually through a personal friend. 383 00:35:55,000 --> 00:36:02,000 So, again, networking, it comes down to, you know, it absolutely is about what you know, because, you know, 384 00:36:02,000 --> 00:36:07,000 when you show up in the room to be the one who is in the interview, you have to you have to pass the bar. 385 00:36:07,000 --> 00:36:13,000 But in terms of the knowledge about what roles are available and out there, 386 00:36:13,000 --> 00:36:19,000 it really is helpful to not just be depending on job boards and kind of publicly available information. 387 00:36:19,000 --> 00:36:27,000 Having some knowledge about, you know, roles that either are not being advertised explicitly or in particular this role. 388 00:36:27,000 --> 00:36:31,000 When I first was applying, it has had a very hard time filling the role. 389 00:36:31,000 --> 00:36:35,000 And that's partly because it was a slightly unusual setup for the role. 390 00:36:35,000 --> 00:36:42,000 So a lot of the people that they were interviewing either had one side of the job that they were looking for covered already, 391 00:36:42,000 --> 00:36:44,000 or they had the other side that they wanted. 392 00:36:44,000 --> 00:36:53,000 So in this case, they wanted somebody who could do a lot of the kind of analysis and Day-To-Day reporting. 393 00:36:53,000 --> 00:37:00,000 But they also wanted someone who they could eventually train to do some of the the actual programming of the reporting tools. 394 00:37:00,000 --> 00:37:04,000 And what they were finding at the time was that they could they could find someone who was one of the other very strongly, 395 00:37:04,000 --> 00:37:10,000 who had a commercial background. But they were really struggling to find somebody who either had both or wanted to do both because it was unusual, 396 00:37:10,000 --> 00:37:17,000 you know, expectation, especially for that level of role. And of course, I come in as a newly graduated PhD and like, I can do anything. 397 00:37:17,000 --> 00:37:23,000 I'm willing to do whatever it takes to succeed in this job. And sometimes that extra flexibility of simply saying, hey, 398 00:37:23,000 --> 00:37:31,000 I'm willing to learn it can it can sometimes put you in a better position simply because other people whose careers were 399 00:37:31,000 --> 00:37:40,000 fixed or have a very focussed career path in mind might not be interested in having that kind of broad range of skills. 400 00:37:40,000 --> 00:37:48,000 And so, you know, for you to come in then and say, I can learn things very quickly and I'm very experienced in part of this or I am 401 00:37:48,000 --> 00:37:51,000 very thorough in the way that I go about learning things can be a real advantage. 402 00:37:51,000 --> 00:37:56,000 And so that was eventually what happened was because they'd had such a hard time filling the role, 403 00:37:56,000 --> 00:38:01,000 they were then willing to look slightly differently at what kinds of mix of skills they needed. So essentially, 404 00:38:01,000 --> 00:38:10,000 I showed up at the right time when they were looking for someone who is a little bit different than what they had initially had in mind. 405 00:38:10,000 --> 00:38:14,000 And then when I was doing the interviewing, clearly they were impressed by the research skills that I had, 406 00:38:14,000 --> 00:38:21,000 but also some of the ways that I was thinking about or questioning some of the stuff that they were putting forward that made them feel like, 407 00:38:21,000 --> 00:38:26,000 OK, this could be someone who can approach this role differently, which is really helpful for them. 408 00:38:26,000 --> 00:38:31,000 And interestingly enough, when I went to then move to the leading edge forum where I work now, 409 00:38:31,000 --> 00:38:35,000 I knew that I was ready to move on from a role that was very quantitative. 410 00:38:35,000 --> 00:38:38,000 And I wanted to get back into some of those more kind of core research skills that I developed. 411 00:38:38,000 --> 00:38:45,000 And when I was here at Exeter and I was having a hard time because my role at that point was so quantitive that all anyone could see in me was, 412 00:38:45,000 --> 00:38:51,000 oh, she's an analyst. She's an analyst. And so it was very hard for them to see that the qualitative skills that I'd amassed 413 00:38:51,000 --> 00:38:55,000 in the previous simply weren't things that in their mind were showing up for them. 414 00:38:55,000 --> 00:38:57,000 When I was trying to put myself forward. 415 00:38:57,000 --> 00:39:05,000 So but the leading edge forum was specifically looking for someone who wanted to do a digital anthropology programme for them, programme of research. 416 00:39:05,000 --> 00:39:09,000 So again, it was just the right thing at the right time. It just matched up. That was what I wanted to do and that was what they needed. 417 00:39:09,000 --> 00:39:14,000 And again, they'd been having a hard time filling the role because they had a lot of people who either had a 418 00:39:14,000 --> 00:39:19,000 lot of commercial experience but didn't really have the kind of core research skills that I had. 419 00:39:19,000 --> 00:39:25,000 Or they had a lot of people who had been doing very academic research for a long time, 420 00:39:25,000 --> 00:39:31,000 but didn't have the commercial experience and the context to operate in that world. 421 00:39:31,000 --> 00:39:36,000 So, you know, it's just about finding the right the right match at the right moment, I think. 422 00:39:36,000 --> 00:39:41,000 Yeah. Yeah. And this only about. Throughout kind of the importance of networking, 423 00:39:41,000 --> 00:39:47,000 finding out about jobs that are available in any kind of different people's experience and backgrounds in these industries. 424 00:39:47,000 --> 00:39:52,000 And it sounds like that makes it experience between the academic and the kind 425 00:39:52,000 --> 00:39:57,000 of commercial industry industry type stuff and get having both those things. 426 00:39:57,000 --> 00:40:02,000 And I said maybe trying to get some of these experiences durinf your PhD really helpful. 427 00:40:02,000 --> 00:40:06,000 Yeah, yeah, absolutely. It can be really powerful if you want to move into a commercial role. 428 00:40:06,000 --> 00:40:17,000 And I I'd say also what I've observed. Is there an increasing number of public private partnerships or academic quasi 429 00:40:17,000 --> 00:40:24,000 academic research skills or or things of that nature where there's some kind of, 430 00:40:24,000 --> 00:40:32,000 oh, hey, we, the university have a lot of research skills or a lot of scope for doing like innovation lab style stuff. 431 00:40:32,000 --> 00:40:34,000 But what we don't have is a lot of the commercial side of things. 432 00:40:34,000 --> 00:40:42,000 So they develop these like digital hubs or innovation hubs in different parts of the world, in different country. 433 00:40:42,000 --> 00:40:51,000 And so there are often roles that are available that are kind of quasi academic, but also really depend on the commercial experience as well. 434 00:40:51,000 --> 00:40:54,000 So, you know, I haven't really had an experience of fighting for those, 435 00:40:54,000 --> 00:40:58,000 but it's something I've observed as I've been thinking about my my future career path. 436 00:40:58,000 --> 00:41:02,000 It's something that I've observed is out there in the market. So there might be something like that. You know, 437 00:41:02,000 --> 00:41:05,000 if you're thinking about perhaps wanting to stick a bit closer on the academic 438 00:41:05,000 --> 00:41:10,000 side and maintaining those academic credentials and publishing and all that. 439 00:41:10,000 --> 00:41:16,000 But also having a bit of commercial experience that would let you be that kind of linchpin between those two those two things. 440 00:41:16,000 --> 00:41:23,000 So I'd say that's an interesting potential career path as well. It's adjacent to but not exactly the same as the way that I've gone. 441 00:41:23,000 --> 00:41:27,000 And would there be any other kind of final tips you'd give someone kind of in the middle of 442 00:41:27,000 --> 00:41:33,000 your PhD or something you wish you'd done a bit differently when you were doing your PhD? 443 00:41:33,000 --> 00:41:36,000 I think the only other tip. 444 00:41:36,000 --> 00:41:45,000 And again, it's probably something that is spoken about perhaps a bit more than when I was a student, is prioritising your own self care. 445 00:41:45,000 --> 00:41:51,000 And I mean that not in a fluffy bubble bath kind of way, although if that is something that works for you, then great. 446 00:41:51,000 --> 00:41:57,000 But really look after your own mental health and your own physical health. 447 00:41:57,000 --> 00:42:05,000 Because if you don't have a working as a working instrument, then it's going to be very difficult for you to play the sonata, basically. 448 00:42:05,000 --> 00:42:15,000 And I'm hoping that there are a lot of resources out there available now to enable students to to really 449 00:42:15,000 --> 00:42:22,000 care about those things and to look after themselves and also to develop those habits early in life, 450 00:42:22,000 --> 00:42:24,000 especially when you're in the kind of pressured environment that a Masters or 451 00:42:24,000 --> 00:42:30,000 PhD is that will put you in extremely good stead for later in life when you 452 00:42:30,000 --> 00:42:34,000 have pressured roles or are dealing with different kinds of pressures like 453 00:42:34,000 --> 00:42:38,000 balancing work and family or what or financial concerns or whatever it might be. 454 00:42:38,000 --> 00:42:46,000 So developing those habits early on, when you're at what might be the most pressured moment of your career, ultimately will then help you. 455 00:42:46,000 --> 00:42:52,000 Everything else beyond that will seem like a piece of cake then. And that's it for this episode. 456 00:42:52,000 --> 00:43:07,349 Join us next time when we'll be talking to another researcher about their career beyond their research degree.  

David Blyer is the President, CEO, and co-founder of Arreva, LLC, a company that provides completely integrated online fundraising and donor relationship management software to the nonprofit sector. He is a veteran software technology entrepreneur with a list of firsts. In 1993, he co-founded Vento Software, the first vertical business intelligence applications provider, which was acquired by Chicago-based SPSS in 1999. Following the acquisition, he effectively grew the company's revenue from $80m to over $220m and acquired close to 40 companies in just a few short years. David is based in Fort Lauderdale, Florida and is a board member of the Entrepreneurial Council at Nova Southeastern University's Business School; on the board of Envirostar, a publicly traded company; and an active volunteer at the Ronald McDonald House of South Florida and the Davie Police Athletic League. FREE "7.5 Steps to Achieving Extraordinary Goals" eBook: http://michaelaltshuler.com/download-e-book/ Facebook:http://facebook.com/MichaelAltshulerBiz Twitter: http://twitter.com/maltshulerbiz Please SUBSCRIBE and leave a review!