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Math and Computer Science (2:51)Graph Alignment (20:38) BioHuda Nassar is a senior computer scientist at RelationalAI working on building the graph algorithms library offered as part of RelationalAI's product. Previously, Huda obtained a PhD in Computer Science from Purdue University and was a postdoc fellow at Stanford's School of Medicine. Huda is also known for her "Julia for Data Science" course which had over 13,000 students and focused on Data Science methods including graph analytics. Connect with HudaHuda Nassar on LinkedinConnect with UsMargot Gerritsen on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
A story born & bred in Widnes that follows Widnes RLFC & Everton FC. Rugby become something he loved doing in high school and he never looked back. The Wids was now a home from home though he did venture into Rugby League sporadically. A fine family man who still puts the boots on when he can to help his club and mates out.
In this podcast episode, Hannah and Chisoo discuss their shared experiences as immigrants and how that has shaped their perspectives and careers. They explore the value of learning new languages and being immersed in different cultures, as well as the importance of understanding problems before jumping into solutions when working in data science. Hannah shares her leadership philosophy of prioritizing people development, and they both emphasize the need to address burnout and create flexible work environments, particularly for women in the field. The conversation highlights the evolving nature of data science and the opportunities for the next generation of women to thrive in this dynamic industry.HighlightsLanguage as the access to different cultures (2:09)Career journey (8:23)People first in leadership style (23:19)BioHannah Pham is a seasoned data leader with experience building and scaling data teams at top tech companies like Airbnb and Pinterest. Hannah's expertise spans consumer and monetization domains. As the Head of Data Science for the consumer area at Pinterest, she leverages data to bring the best experience to Pinners and drive business growth. Hannah is also a successful startup founder with Skin AI, a personalized skincare company that she co-founded in 2018. Connect with HannahHannah Pham on LinkedinConnect with UsChisoo Lyons on LinkedInFollow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
A story born, bred and developed in Widnes. A great lad who values family and friends in very high regards and loves his rugby of both codes. It was Union that G really explored while giving League a season. He loved his time at the Wids but work and life took him to London where he has really settled down and found what he is and what he enjoys. Rugby has till been a big part of this and will always play a key role in his life.
SummaryListen to Karin Golde, a linguistic expert and AI entrepreneur, as she discusses the rise of large language models (LLMs) and the impact of ChatGPT. Karin reflects on the unexpected popularity of LLMs and the role of OpenAI. The challenges and limitations of LLMs are discussed, including the need for human understanding emphasizing the need for diverse perspectives and cultural understanding in AI development. Karin shares her personal experience of using LLMs and highlights the importance of balancing innovation with regulation in the AI industry. Karin concludes the podcast sharing about her career journey and her recent transition to working as an independent consultant. She offers advice for women considering leadership roles and emphasizes the importance of thinking broadly about one's place in an organization.HighlightsLLMs (1:46)AI systems (3:25)The need for humanness in AI (20:17)Transitioning to independent consultant (28:31)BioKarin Golde, is the Founder of West Valley AI. She helps businesses and technical leaders navigate the rapidly developing landscape of AI and Large Language Models by sharing her expertise which has ranged from executive leadership roles at multiple startups to heading the language engineering division for the AI Data team at Amazon Web Services. Her philosophy is to cut through the hype, collaborate with integrity, and keep a laser focus on providing value to your business. Connect with KarinKarin Golde on LinkedinWebsite West Valley IA Connect with UsChisoo Lyons on LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
In a day, Leslie went from sharing every aspect of life with her husband Ryan to feeling like half a person. Leslie, Ryan, their two young children, and their extended family were on vacation in California when Ryan told Leslie that something didn't feel right. He was rushed to the hospital where he died of a stroke and an aneurysym, leaving Leslie to figure out how to live their life without him. The people Leslie most wanted to talk to in her grief were other widows. This inspired her to start Vids for Wids - a project to capture the stories of widows in the hopes of helping others feel less alone. We discuss: How Leslie and Ryan met as co-workers The day Ryan died while they were on vacation Suddenly feeling like half a person without Ryan Telling her very young children about his death The early days and weeks of widowhood How her kids' grief is changing over time The power of talking to other widows What Leslie learned about grief from Ryan Dating and becoming a remarried widow Leslie's Vids for Wids project to support other widows
Highlights: 00:02:25 - Colleen's motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways.00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems.00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field.00:15:02 - The importance of mentorship.00:23:40 - Coping strategies for setbacks in academia and industry.About the Guest:Colleen Farrelly is an author and senior data scientist. Her research has focused on network science, topological data analysis, and geometry-based machine learning. She has a master's from the University of Miami and has experience in many fields, including healthcare, biotechnology, nuclear engineering, marketing, and education. Colleen wrote the book, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R. Mentions:Connect with Colleen Farrelly on LinkedIn Related Links:The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R Connect with UsMargot Gerritsen on LinkedInListen and Subscribe to the WiDS Podcast on Apple Podcasts,Google Podcasts,Spotify,Stitcher
Summary:Listen to the incredible and inspiring journey of Avalon Baldwin's career journey. A self-described data nerd, she was not only the first in her family to attend college, she went on to get a graduate degree. Today she is an entrepreneur running her own consulting company. In conversation with Chisoo Lyons, Avalon shares how curiosity, mentorship, and coaching made a difference in her life. Highlights: (06:18): Exploring factors like how data is collected, the intention behind collecting a specific data point instead of another one, and how they can influence analysis and interpretation.(08:20): Working with students as individuals and promoting self-agency, as able to influence their own future. (12:02): Avalon describes her journey to become the first in her family to be a college student(32:02): Advice on finding a mentor. About the Guest:Avalon Baldwin master's degree in positive developmental psychology and evaluation from the Claremont Graduate University. She received her bachelor's degree in biopsychology from Mills College,. Avalon's consulting company, which she just recently launched, is called Curious Evaluation. Avalon provides consulting services for nonprofit organizations to help in evaluating the impact of their programs using data and science by framing the effort around the organization's mission, goals and values.Mentions:Connect with Avalon on LinkedIn Related Links:Curious Evaluation Connect with Us:Chisoo Lyons on LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on: Apple Podcasts, Google Podcasts, Spotify, Stitcher
«Sentralt I dette med å skape verdi er tverrfaglighet og involvere hele bedriften, ikke bare et lite Data Science miljø.» / «Central to creating value is multidisciplinarity and involving the entire company, not just a small Data Science environment.»Prepare for a journey into the landscape of data strategy with seasoned Data Scientist, Heidi Dahl from Posten Bring, one of the largest logistics organizations in Norway. She is not just engaged in strategic discussions about data, AI and ML, but also a passionate advocate for Women in Data Science, took the initiative to create a chapter of WiDS in Oslo, and co-founded Tekna Big Data.In our chat to understand the dynamics of data science and IT, we talk about their balance between research and practical development. Heidi articulates the urgency for a dedicated data science environment, exploring the hurdles that organizations often confront in its creation.We cross into the world of logistics, shedding light on the potential power of data science to revolutionize this industry. We uncover how strategic use of data can streamline processes and boost efficiency. Finally, we underscore the importance of nurturing an environment conducive for data professionals to hone their skills and highlight the role of a data catalog in democratizing data accessibility.Here are my key takeaways:Digital Transformation of Posten BringAn organization that is 376 year old and has been innovative throughout all of those years.The Data Science department was stated in 2020 under Digital Innovation, now a part of Digital technology and security.The innovative potential is found through use-case based work closely integrated with the business domains.There are several algorithms that made their way into production, and that is a goal to measure against.The Data Science teams consist of cross-functional skillsets, bringing together Data Science, Developers, Data Engineering and Business users.The exploratory phase is vital, but has to have a deadline.IT driven development projects do not always match with the needs of Data Scientists.Data and IT need to work together, but for exploratory work, Data Science should be able to set ut needed infrastructure.On cloud infrastructure it can be vise to think multi-cloud to ensure availability of a specter of relevant services.Posten/Bring is looking to build a digital twin for their biggest package terminal for better insight, control and distribution of packages.Strategic use of dataHow can we use data to make better decisions, be more effective and smarter?The 4 core elements of the Data Strategy:Establish distributed ownership of data and data productsIncrease the amount of self-service.Build competency tailored to your user groups needs.Strive towards the goal of great services and products based on data for your users and customers.Role based self-service capabilities .A data catalog is discussed, to gain a better understanding of the data available, security, but also context of origin and data lineage.A data catalog needs to be able to serve different user needs.CompetencyThere are three perspectives:How to recruit new and needed competency?How to train and share competency internally?How to retain competency?Data Engineer is a newer and more specialist role, that is hard to find on the market.You need to give your data professionals the possibility to do purposeful work, bring into production and connect to value creation.The entire organization should be aware of how to use data to make work more efficient and smart - think data literacy
A fine man who was born and bred in Widnes. Growing up loving all sports, he came across Widnes Rugby League Football Club. He followed them home and away until he began playing Rugby Union at Fairfield High School because of the famous Ray French. The Wids was his next big love and this is where he would make a massive impact initially on the field and later on off it. Some great memories and spoke about from G, what an absolute Gent.
Michelle Katics, CEO of BankersLab and co-founder of Woomentum, discusses her journey in risk management training and the importance of integrating technical skills with business and soft skills. She shares her experience in helping banks navigate complex regulations and the need for training to improve understanding and decision-making. Katics emphasizes the importance of storytelling and simplifying complex concepts to effectively communicate with stakeholders. She also highlights the need for women to participate in data science and entrepreneurship, and encourages everyone to continue learning and collaborating to drive innovation and growth. Katics also discusses her involvement in volunteer work, including supporting migrants and refugees and mentoring aspiring entrepreneurs. She concludes by encouraging listeners to embrace diverse skill sets and collaborate to achieve better outcomes.Highlights:Why Michelle went into risk management and why it's so critical for enterprise success (00:58)Blending business and soft skills with technical skills for optimal outcomes (04:52)Importance of storytelling (07:19)Mentions:Connect with Michelle Katics on LinkedInBios:Michelle Katics is the co-founder and CEO of BankersLab. BankersLab provides a virtual simulation platform taking learning to the next level, combining business expertise in lending with numerical simulation and gamification. Michelle is a thought leader in the fintech revolution and a champion of talent transformation and innovation. During her career she worked at the Federal Reserve Bank of Chicago, the International Monetary Fund, Fair Isaac, and with numerous financial institutions who were her clients in over 30 countries. Alongside her impressive career accomplishments, she has a diverse and rich portfolio of volunteering activities being in service of others.New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science.Learn more from data science leaders like Michelle on Using storytelling to communicate with stakeholders.Connect with UsChisoo Lyons on LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work's tangible impact and discusses the challenges of work-life balance.Mary's passion for data science's positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI.The episode also includes topics of the need for continuous learning and the blend of art and science in data science. Highlights: Mary's transition from doing theoretical work to work in the real world (00:34)It takes a “village” to be successful (10:06)Managing a team of data scientists and why she describes herself as “leading teams who use data science for good” (21:01)Mary's views and optimism about the data science field (33:25)Women's roles in the future of data science (45:07)Mentions:Connect with Mary Krone on LinkedInBios:Mary Krone believes in using data science for good––to make meaningful and positive impact. Currently, she leads a data science team at Credit Karma, a personal finance company. Previously, Mary held various leadership roles in both technical and management tracks at FICO. Mary holds a PhD in Chemistry & Biochemistry from UC Santa Barbara and a BA in Chemistry and Secondary Education from Vassar College.New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science.Learn more from data science leaders like Mary on Data Science Leadership: Creating Meaningful Impact.Connect with UsChisoo Lyons on LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
When Leslie's husband died suddenly in 2019 from a freak brain aneurysm and stroke, she only wanted to talk to other widows. Vids for Wids is a place for solidarity for everyone wondering what they "should" be doing after their world blows up. Support our Sponsors! Lovecoda.com Everything you need to navigate pet end of life . Pet loss resources, guides, and modern memorialization options. Widowsfire.com Interested in joining a community of like-minded Wids? If you're ready to meet potential new friends/romantic partners, check out Widows Fire, today!
Kate Kolich serves as the Assistant Governor and the General Manager of Information Data and Analytics at the Reserve Bank of New Zealand. With an extensive background in the financial sector, she also boasts significant public sector experience. Throughout her impressive career, she's delved into areas like data analytics, digital strategy, information management, data governance, business intelligence, and data warehousing, among others. Soon after the launch of Women in Data Science (WiDS) at Stanford, Kate became an active WiDS ambassador. She has organized numerous WiDS conferences in Algeria, spotlighting nearly 100 female data scientists. Beyond this, Kate is a passionate mentor and supporter of many professionals in New Zealand. In this episode, we discuss Kate's role at the Reserve Bank, the role of her team, highlights from her career, and her insights on being a successful woman leader in her field.For Detailed Show Notes visit: LINK TO WEBSITE LONG VERSION OF SHOW NOTESIn This Episode We Discuss:Kate's role at the Reserve Bank of New Zealand.Data Guardianship: The philosophy of 'Maori' (guardianship in Te Reo Maori) and its relevance in protecting data.Kate's evolution from a hands-on tech role to impactful leadership.How Kate overcame self-doubt early on in her career. Championing innovative data visualizations at the EECA to create greater impact.The value Kate places on mentorship and helping others grow in their careers.Kate's association with WiDS New Zealand: Organizing conferences and spotlighting female data scientists.Kate's journey of realizing the significance of leadership and communication for broader impact.RELATED LINKSConnect with Kate Kolich on LinkedInFind out more about the Reserve Bank of New ZealandView the EECA's New Zealand Energy Scenarios Data Visualization Connect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
John tells us about growing up watching his dad play at Halton RUFC and many a day spent at Naughton Park watching Widnes RLFC. This ignited a real passion for rugby and he found himself at Widnes St Marie's loving life and rugby. We hear how he develops his games, begins playing both codes and leaves school for an apprenticeship. He had a big impact when he arrived at Widnes RUFC From the folded Halton RUFC side and he didn't look back. He now returns to coach a very successful second team at the Wids.
Telle Whitney began her career in the tech industry in 1986 after earning a Ph.D. in computer science from Cal Tech. Her journey into graduate studies was sparked by an encounter with graphics during her undergraduate studies at the University of Utah. Although she initially wasn't interested in graphics, the idea of computer-aided design fascinated her, and she was drawn to work with Ivan Sutherland, a co-founder of the computer science department at Cal Tech.Throughout college, Telle learned various programming languages, starting with C as an undergraduate and later delving into object-oriented languages like Simula and Mainsail. While she hasn't programmed in years, Telle acknowledges that programming languages evolve and change rapidly, but once you understand the core concepts, transitioning to a new language becomes relatively easy.Reflecting on her path into computer science, Telle admits that she had no exposure to the field during high school, which is a common experience for many young girls. “It wasn't until my sophomore year, where I was at my wit's end of trying to figure out what to study, and I took this interest test that compared your interests to other people's interests and programming came out on top.”From her first programming class, Telle knew she had found her calling, even though she started later than many of her peers. Telle's love for programming stems from its logical nature. “When you're writing a program, and you're trying to solve this problem, it is so absorbing. I would become completely captured with whatever I was working on at the time, and it was very fulfilling, no question.”She advises aspiring coders to ignore the myth of natural ability in programming and the notion that girls are not good at math. Persistence and patience are key in navigating the challenges that arise, and the belief in one's ability to succeed is crucial.Discussing the persistent stereotypes and biases that deter women and people of color from pursuing careers in tech, Telle, and Margot highlight the prevalence of these harmful beliefs even today. Despite efforts to increase diversity, Telle emphasizes that more needs to be done to ensure the best minds participate in shaping the future of technology. Both Telle and Margot stress the significance of representation, with Margot outlining the WiDS goal of achieving at least 30% female representation by 2030, given that the current representation stands at a mere 10%. Such representation can help drive a cultural shift and improve the treatment of underrepresented groups.Telle dedicated 20 years to working full-time in the chip industry, actively striving to bring about change within the field. Concurrently, she collaborated with her close friend Anita Borg on the Grace Hopper Celebration, an initiative aimed at celebrating women who create technology. When Anita fell ill with brain cancer, Telle was asked to step into the role of CEO. During her 15-year tenure, Telle successfully expanded Anita Borg into a prominent organization.Although she hadn't planned to take on this role initially, Telle saw it as a valuable opportunity and made a conscious pivot. She has since left Anita Borg to establish her own consulting firm, proud of the impact she made and the organization's continued influence under new leadership.The lack of progress in achieving diversity in the tech industry is a cause of concern for Telle. Breaking down barriers and changing the perception of what a technologist looks like remains an ongoing challenge.Telle's particular interest lies in fostering a more inclusive culture within organizations. While community plays a vital role, Telle believes that actual cultural change stems from providing equal opportunities for advancement.Offering advice to aspiring data scientists, Telle urges them to take risks, develop confidence in their ideas, and master effective communication. She emphasizes the importance of curiosity and creativity in shaping the future and encourages aspiring data scientists to be at the forefront of technological advancements. “I want you to be at the table creating a technology that's going to change our lives. That's what you should do.” RELATED LINKSConnect with Telle Whitney on LinkedInFind out more about AnitaB.orgConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher
Interested in joining a community of like-minded Wids? Are you ready to meet potential new friends/romantic partners? Meet other Wids who are interested in exploring new connections with the potential for friendship, companionship or even a romantic relationship! For more, check out WidowsFire.com and connect with like-minded Wids around the world, publicly and privately.
Self-belief is a journey, and there will be bumps in the road. A lack of self-belief is something Professor Margot Gerritsen still experiences sometimes, even after achieving Professor Emeritus status at Stanford. Margot now dedicates her time to running Women in Data Science (WiDS)Margot began her career in computational science over thirty-five years ago, and she predictably found that she was one of the only women in her class at university. Unfortunately, she hasn't really seen the number of women in STEM rise in her career. WiDS exists to help encourage more women into this field, by offering a community to help them learn and grow. Margot also hosts the WiDS Podcast which you can listen to on a podcast app of your choice.Join us every episode with hosts Suchi Srinivasan & Corin Lines from BCG to hear meaningful conversations with women in digital, technology, and business.This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy
Answer: Never! In this laundry session, Shyni and Rich Kiamco discuss him losing his partner to Covid in March of 2020 and life after. They discuss feeling all the feels, what type of widower, or "wid-hoe-er" he is; Widow's Fire; How to Deal w/ Death anniversaries, and so much more! Let's sort it all out! Support your host at www.lipsticklaundry.com for merch! "Drop your drawers" at thelipsticklaundrypodcast@gmail.com. Follow Shyni on IG and FB: @lipsticklaundrypodcast; Twitter: LipLaundry. --- Support this podcast: https://podcasters.spotify.com/pod/show/lipstick-laundry/support
«The real value in changing the status quo and getting more women to the forefront, is by having women share about the important work that they do, and not just talk about their gender as a topic.»This episode was recorded right before Christmas, when I had the pleasure to chat with Alexandra Gunderson and Sheri Shamlou.Alexandra inspired by a Women in Data dinner in New York, took it upon her to find likeminded people in Norway. That is how she came across Women in Data Science, the conference that was brought to Norway by Heidi Dahl in 2017. First meetup as a Community was June 2018, and this years WiDS event «Crossing the AI Chasm» is coming to Oslo (and digitally) on May 24th, 2023.Here are my key takeaways:Women in Data Science (WiDS)«Creating a meeting place, a place for people to connect and get inspired»Creating a platform and stage for outstanding women.Here are some of the events WiDS organizes:«Champagne Coding» - hands on event«Data after Dark» - after work event: 1-2 quick high level presentations«Data for Good» - get together and solve difficult challenges for greater causesAn important mission is to increase the number of role models in the community to look top to.The goal is to provide arenas to learn together, son it is as important to share stories about failure and collaborate around the learnings from those.WiDS is looking for sponsors, and one benefit can be, that trough events real-life uses cases can be solved.The focus for 2023 is «scalability» how to get unstuck from ML and AI pilots and bring your work to production?The Quest for DiversityDiversity is a complex topic with several perspectives: gender, nationality, background, knowledge, expertise, and experience.Why is diversity important?Leads to more innovative and effective solutionsLeads to more fair and just outcomesThe starting point when working with diversity on a daily basis is awareness.Diversity in the workplaceDiversity doesn't magically happen. You have to work for it.Awareness is a first step, but you also need to collaborate in broader groups.The value is gained when you are able to include everyone in your events and talks.For people to work together against biases of any kind, you need an inclusive culture from the beginning.Be open in your communication and foster a culture of collaboration.The «3rd shift» is an important requisite for women to be able to spend the same amount of time and intellectual capacity at work.The work for an inclusive work environment is never over. We have to continuously work on its and talk about it.Diversity in recruitmentYou have to actively seek out to hire people with different backgrounds.In recruitment, be aware of how you write a job announcement.Use gender neutral language (avoid stuff like «Data Science Ninja» or «Data Rock Star»).There are online applications to check if your language is gender neutral and with suggestions for replacements of bias´ words.You need to highlight more possibilities with a job, like growth and learning opportunities.Minimize the list of requirements in a job-posting.Be aware of you own biases and work with diverse teams also in recruiting.When screening CVs, be aware that different people write in different styles.In an interview process, eg. Women don't like to do coding tests, with someone watching them.Get involved: LinkedIn group, Meetup or https://www.widsoslo.com/.
Lisa Martin, Tracy Zhang, & Hannah Freitag wrap up WiDS 2023 from Stanford University, CA.
There's a global movement underway to tackle gender equity issues in Data Science. In 2015, Women in Data Science, or WiDS, was created. What started out as a conference at Stanford University has now grown into a worldwide initiative, with events in more than 200 countries, including Australia. In this episode, we chat with the Co-founder and Executive Director of the WiDS movement, Emeritus Professor Margot Gerritsen. See omnystudio.com/listener for privacy information.
Mark chats to us about being around the Wids watching his dad, spending Sunday's watching his brother and then beginning his own journey playing Rugby League. When at high school he was introduced to Rugby Union and became a part of a very successful age grade side at Widnes RUFC. Moving through the age groups he played colts and then first team and never really looked back. He tells all about a career that reached the goals he set himself.
An expert in climate change and the optimization of power grids, Priya Donti researches how to use machine learning for forecasting, optimization, and control of power grids to facilitate the integration of renewable energy. She first became interested in climate change during high school and studied computer science with a focus on environmental analysis as an undergraduate at Harvey Mudd College. After graduation, she spent a year on a Watson Fellowship, learning about different approaches for next-generation power grids in Germany, India, South Korea, Chile, and Japan. She went on to earn her PhD in power grid optimization at Carnegie Mellon. While there, she co-founded Climate Change AI, an initiative born out of a paper she co-wrote with academic and industry leaders about the ways machine learning could address climate change.Machine learning can play a role in mitigating climate change in areas like decarbonizing power grids, buildings, and transportation; helping create more precise forecasts for climate change impacts; and strengthening social, food, and health systems to cope with the impacts of climate change. There are several ways to apply machine learning to the climate crisis. One is distilling raw data into actionable insights, like turning satellite imagery into inputs on where the solar panels are or where deforestation might be happening, or turning large amounts of text documents into insights to guide policy or innovation. A second way is forecasting solar and wind power, and extreme weather events. A third is optimizing complex systems to make them more efficient, like heating and cooling systems in buildings or optimizing freight transportation systems. Machine learning is also valuable in science and engineering workflows to accelerate the design of new batteries or speed up climate or power models.While there are many ways that AI and data science can play a role in climate action, sometimes it's difficult figuring out where to start. Priya says the WiDS Datathon is a great way to get started because no matter how much experience you have, you can enter and be able to work on this particular challenge. “The floor is low, but the ceiling in high.” There are also many resources on the Climate Change AI website to start learning, get involved, and meet other people working in the space through workshops, virtual happy hours, mentorship programs, and an online community platform. RELATED LINKSConnect with Priya on LinkedINFind out more about the Climate Change AIConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
Lesly Zerna earned her undergraduate degree in Telecommunications Engineering at the Bolivian Catholic University and then traveled to Brussels to complete a Masters in Computer Science. After returning to Latin America, she began teaching data science and AI both in universities and virtual platforms and today her courses have thousands of online students. She brings insights from her experiences working in large companies overseas to her students in Latin America. For those just starting in data science, she says you must first identify your personal learning style (e.g., visual or text) to improve your learning experience and start with a general overview of the field. Next, find a practical topic you're interested in, and look for projects, examples, authors, researchers who are working in that area. Do all of this while continuing to develop the fundamental skills you need (e.g., languages, platforms, frameworks) in data science. Lesly transmits her passion for learning to her students by using real scenarios instead of theory in textbooks. She lets them experience what works, shows the development process, and where common mistakes are made. She says it's important for students to find where the problem is, know how to solve it, and make decisions. She believes there's a lot to learn from the world of entrepreneurshipas you not only develop a project, you also have to develop the skills to explain and present the project, sell it, and negotiate. She believes that mentoring is essential to break down barriers for women. It can help dispel myths and biases about women in science and technology jobs, and learn from successful women that in spite of a hard path, they were able to achieve and follow their dreams.RELATED LINKSConnect with Lesly on LinkedINFind out more about the Universidad Privada BolivianaConnect with Cindy Orozco Bohorquez on LinkedIN
Leda Braga is the founder and CEO of Systematica Investments, a hedge fund that uses data science-driven models to support its investment strategies. Leda was born and raised in Brazil and found her way into the financial sector after getting her PhD in engineering and spending several years as an academic. Her financial career started with seven years in investment banking at JP Morgan and then she joined the hedge fund startup BlueCrest in 2000. She explains that while her funds did very well during the 2008 financial crisis, the time felt like an existential crisis because you didn't know if the major investment banks were going to survive. But she said it was a formative time and she learned many lessons. Several years after the financial crisis, she spun off her own firm, Systematica Investments focused on systematic trading.Leda explains that systematic investment management is data science applied to investment. The systematic approach makes the investment process less reliant on the random nature of forecasting and more reliant on risk control in portfolio construction.Both discretionary traders and systematic traders are looking at information to try to make decisions. Those who do it on a discretionary basis tends to look at the data and make a decision to make money on a trade. Those that look at data on a systematic basis build data-driven processes for trading strategies for certain risk profiles and preferences that will produce consistent returns over time. She says the responsibility weighs heavily on her to ensure a good return because people's pensions are part of the money her firm manages.While she believes strongly in the power of leveraging data science in investment, we're not yet at a point where AI allows us to do “autonomous investing” because there's a large element of randomness in markets and relatively sparse data so learning algorithms have limited use. She says that the only way it might be possible is if you've compartmentalized and narrowed the scope to the extent that you have a controlled amount of randomness. Learn more about Leda and systematic investing in her 2018 WIDS presentation, When Data Science is the Business.RELATED LINKSConnect with Leda on LinkedIn or TwitterFind out more about Systematica InvestmentsConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
A Colombian engineer, Jessica is fascinated by the processes and complexity of water supply systems in urban areas.In her post doc research in Australia, she brings together her expertise on the water hammer and transient flow waves to create an AI model that is able to identify where pipeline defects are faster and more accurately than existing techniques.She explains that in data science, the most important stage is understanding the problem. You need to bring in basic knowledge of the problem and expertise from other disciplines that are involved in a problem and combine that with artificial intelligence. AI is an important tool but just part of the solution. It's critical to maintain all the legacy of knowledge and understanding of a problem. AI can make it simpler to apply, but you can't leave behind the physics or knowledge of the hydraulic part of water movement. Working in industry, she has found that it's important to first understand how the system works. In these large companies in charge of delivering water, each person has different objectives, so you need to understand how the company works, who is in charge, what are their objectives, and how they measure their success. If your research project aims at those things, they will be more receptive and a better chance of success.Jessica has learned in both research and industry consulting that nothing works the first time and it's important to not to let those little defeats build up in your head. You need to trust yourself. There are many moments in life when you are criticizing yourself, and you realize that the biggest enemy you have is yourself. She just breaks down the problem into small parts and then solves each part one by one. She is passionate about teaching and inspiring young engineers about the importance of water and the future of this invaluable resource.RELATED LINKSConnect with Jessica on LinkedINFind out more about the University of AdelaideConnect with Cindy Orozco Bohorquez on LinkedIN
We talk with Lauren D'arinzo and Amber Teng, Co-Presidents of Women in Data Science, about the Summer 2020 Incubator Project in supporting students who were seeking meaningful summer experiences despite the sudden cancellation of many internships, and their experience in founding the first student group at CDS. This episode was recorded in June 2020.
As a quantitative social psychologist, Karolina has always been interested in using data to measure human behavior to try to understand it better. She has researched questions around political attitudes and polarization, particularly in light of Brexit and Trump's election in 2016. She wanted to understand how people could arrive at completely different understandings of the world and reflect it in their voting decisions. One of her findings was that in the American two-party political system, people tend to identify as either Republican or Democrat and are more likely to agree with statements from their identified party. People use identity cues as mental shortcuts to judge information because there's simply too much information to decipher. She says the polarization is stronger in the US where there are just two major parties compared to other countries with more choice of multiple political parties.After her undergraduate and Ph.D. in psychology and two post-doctoral positions, Karolina decided to leave academia and to work for the nonprofit Teach First. She felt there was a lot of pressure in academia to become an expert in one niche and she wanted the freedom to pursue multiple topics that interest her. When she landed her first job outside of academia, she said the adjustment was a bit challenging, for example, when she first got the data to work with. In academia she knew exactly what the labels were, but in a new organization, she had to figure out how they measure things, what information they store, or what they use as a proxy for a certain behavior. As a researcher at Teach First, a non-profit in the UK that trains early career teachers to work with schools in disadvantaged areas, she is currently evaluating the impact of their programs in schools across the UK. She wants to know if their programs actually have an effect on the pupils that are being taught by their teachers compared to others.When reflecting on her career, she says there have been times when she questioned whether she had the right skills. She has learned that it's OK to be uncomfortable in a new position. With any new challenge you take, it takes time to get to know that new environment, and get to a place where you can start confidently contributing. It's part of growing and learning, the satisfaction that you get from crossing that bridge from being very unsure to getting to place where you're comfortable and succeeding is very rewarding. The process of maturing in your career is accepting that this is just going to be part of the journey.RELATED LINKSConnect with Karolina on LinkedIn or TwitterFind out more about Teach FirstConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
This bonus episode features conversations from season 1 of the Open||Source||Data podcast. In this episode, you'll hear from Margot Gerritsen, Stanford Professor and Co-Founder/Director of WiDS; Rachel Chalmers, Partner at Alchemist Accelerator; and Patricia Boswell, Staff Technical Writer at Google.Sam sat down with each guest to discuss cognition and democratization in data. You can listen to the full episodes from Margot Gerritsen, Rachel Chalmers, and Patricia Boswell by clicking the links below.-------------------Episode Timestamps:(00:18): Margot Gerritsen(02:07): Rachel Chalmers(03:46): Patricia Boswell-------------------Links:Listen to Margot's episodeListen to Rachel's episodeListen to Patricia's episode
EPISODE NOTESWiDS Executive Director Margot Gerritsen welcomes her new co-host, Cindy Orozco, in a wide-ranging conversation about their career paths and valuable learnings along the way. Cindy is thrilled to be joining as podcast co-host and believes that showcasing women at all stages of their careers shows that we “share the same fears or experiences every day. It's just that some of us have been on the path a little bit longer than others.” Cindy is an applied mathematician who is currently working as a machine learning solutions engineer at Cerebras Systems. Originally from Colombia, she loved applied math, and did a master's in civil engineering and mathematics from King Abdullah University of Science and Technology (KAUST), in Saudi Arabia, and a PhD in Computational and Mathematical Engineering from ICME at Stanford. She met Margot at Stanford and has been contributing to WiDS for many years at conferences, workshops and datathons.After answering some questions about herself, Cindy stepped right into her co-host role to interview Margot. A native of the Netherlands, Margot said her career path was similar to Cindy's as she started in math, got excited about applied math, and decided to study fluid mechanics. After getting her PhD at Stanford, she became a professor at the University of Auckland in New Zealand and then returned to Stanford where she has been a professor for 20 years. During this time, she has been an accomplished researcher, professor, mentor, and leader in the School of Earth, Energy & Environmental Sciences, the Institute for Computational & Mathematical Engineering (ICME), and Women in Data Science (WiDS).When asked how she managed to juggle all of these things, Margot said she learned to not worry about making mistakes or striving for perfection, saying, “80% is perfect”, adding “I always felt I can't have it all. So you make choices, and there's always something that's got to give.” Cindy agreed that the busier she is, the better she manages her time, and when you have many balls in the air, often what you learn in one area can help you solve problems in another. In discussing the “imposter syndrome”, Margot said she had often felt like an imposter, and soon discovered this was a common feeling among students and faculty at Stanford. And it's even stronger when you stand out, like a woman in STEM. It puts an extra burden on you to succeed to set the example for those who come after you. The pace of research in AI and deep learning contributes to feeling like an imposter. People publish very quickly and it's hard to understand what really good solid research is and what is just an idea. It gives people this sense that they're not on top. They forget the purpose of school is creating a lifelong interest in learning. “There's a lot of failure on the way to success. My favorite definition of an expert is somebody who's made every possible mistake.”RELATED LINKSConnect with Cindy Orozco on LinkedIN Find out more about Cerebras SystemsConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
This week is National Police Week. This is a time dedicated to paying our respects to the brave men and women of law enforcement who have paid the ultimate sacrifice in the line of duty. However, as we pause to remember all of those who have given a great sacrifice for their communities, we are also not forgetting the families they have left behind. “The Wids” is a group of women who were all once married to police officers. They are joining Unholstered to talk about their beloved officers and share their stories. See omnystudio.com/listener for privacy information.
Cada xoves falamos de igualdade con Kim Llobet. Hoxe falamos con Cristina Gil Rey, CEO e fundadora de Milbrait Asesores. Unha marca que xorde en 2016 e que foi evolucionando ao longo deste tempo. "Os datos están en todos os lados, é moi importante contar cun perfil (na empresa) que saiban manexar datos. "Estamos traballando con farmaceuticas en biotecnoloxía. É moi importante investir en investigación. A Galicia que ben está moi ben posicionada en biotecnoloxía, hai que reter o talento que temos aquí. Hai que facer as cousas desde Galicia para Galicia". "Hai estudos que afirman que a partir dos 12 anos as nenas empezan a pensar que non son capaces de estudar e de traballar con numeros. Visibilizar e acercar o meu trabrallo é algo que levo por bandeira. É moi importante que as nenas vexan que son capaces". "Os inicios foron moi complicados pola dislexia, os problemas de aprendizaxe e a situación de exclusión social. Éramos unha familia pobre e todo a situación complicouse cando morreu mamá". MILBRAIT comezou ofrecendo servizos de comunicación e márketing e fóronse implementando novos servizos grazas ao investimento en formación e mediante a firma de convenios de colaboración con partners que permiten que se poidan prestar servizos integrais a gran empresa. En formación, colaboran coa Universidade de Vigo e a Universidade Miguel de Cervantes de Madrid. Ademais, son empresa formadora de varios concellos. Estudou Dereito, márketing dixital, comunicación empresarial... Nunca deixou de estudar e traballar. Optou pola intelixencia artificial porque "é por onde vai o futuro". E por aí sigueuse formando. Despois dunha vida dura, na que despois do pasamento da súa nai con 44 anos, saíu adiante grazas aos franciscanos de Santiago e á Cruz Vermella e grandes esforzos persoais. É a embaixadora na Coruña do programa WIDS, que é unha iniciativa da Universidade de Stanford, que pretende visibilizar o papel da muller na ciencia de datos. O punto de inflexión na súa carreira foi cando fixo as formacións co Instituto Tecnolóxico de Massachusetts para aprender sobre intelixencia artificial e transformación dixital. "Deberiamos trasladar ese coñecemento tan específico ás mulleres e a todo o mundo. Hai que mostrar a tecnoloxía como algo alcanzable". Actualmente, contan con varios proxectos moi interesantes, por exemplo, un whitepaper sobre sustentabilidade no fashion retail con Docuten. Están a traballar nunha sección que se chama Milbrait Tex, na que entrevistan a persoas relevantes do mundo da moda. Así mesmo, colaboran coa industria farmacéutica tamén reciben estudantes a través do programa Misti MIT Spain para a área de sustentabilidade. Máis Información de CRISTINA GIL REY: ✔️ Páxina Web: https://milbraitasesores.com/ ✔️ Facebook: https://www.facebook.com/Milbrait-Asesores-230942210681077 ✔️ Twitter: https://twitter.com/GilReyCristina ✔️ LinkedIn: https://es.linkedin.com/in/cristinagilrey?original_referer=https%3A%2F%2Fwww.google.com%2F ✔️ Correo electrónico: info@milbraitasesores.com ✔️ Teléfono: (+34) 650255181 Máis Información da ASOCIACIÓN DE IGUALDADE E MULLERES DA ESTRADA: ✔️Facebook: https://www.facebook.com/profile.php?id=100057569194703 Máis Información de SECRETARÍA XERAL DE IGUALDADE: ✔️ Páxina Web: http://igualdade.xunta.gal/gl ✔️ Facebook: https://www.facebook.com/empregoeigualdadegalicia ✔️ Twitter: @igualdadegal ✔️ Instagram: https://www.instagram.com/igualdadenarede/ ✔️ YouTube: https://www.youtube.com/user/igualdadexunta ️ "SUSCRÍBETE" ao podcast MÁIS ENTREVISTAS: https://www.ivoox.com/podcast-salta-da-cama_sq_f1323089_1.html Máis Información e outros contidos: ✔️Facebook: https://www.facebook.com/PabloChichas ✔️Twitter: https://twitter.com/pablochichas ✔️Instagram: https://www.instagram.com/pablochichas/ ✔️Clubhouse: @pablochichas ✔️Twich: https://www.twitch.tv/pablochichas
The reason for this special episode about the Women in Data Science (WiDS) event 2022 is that our host Chang Sun is also one of the WiDS Ambassadors who organized the regional event WiDS Datathon Maastricht 2022. Co-host of this episode is Anna-Lena Arlt who is the student assistant for this podcast but also participated in the Datathon. We invited her team members Sophia Longwe and Marisol Martin to join our podcast this week. All three are in their second year of the interdisciplinary Bachelor of Science 'Global Studies' at UM. Together the three participants reflect on their motivations to join the event in the first place, their team spirit during the Datathon but also their take-aways. Furthermore, the three Global Studies Students also talk about the changes they want to make using data science and the importance of the field of data science in general. Female empowerment is also being discussed in this episode as it is important for the three students to see someone who is similar to them, for instance in a board of recruiters. Until the 6th of March you can register and join the WiDS Conference 2022 online: https://www.maastrichtuniversity.nl/events/wids-maastricht-conference-2022 The Conference takes place on the 8th of March 2022 and is open to all members of society. You can find more information such as the exact program or related events on the linked website. We are looking forward to see many of you (virtually) there! LinkedIn Profiles: Sophia Longwe: https://www.linkedin.com/in/sophia-longwe-288207203/ Marisol Martin: https://www.linkedin.com/in/marisol-martin-3b7881205/ Anna-Lena Arlt: https://www.linkedin.com/in/anna-lena-arlt/ Follow us on Twitter/Instagram: @DSMindsets Episode show notes are available on our website! Please leave us feedback on Apple Podcasts, Spotify or your favorite podcast platform. If you are a member of the Maastricht University community, please evaluate our episodes! Your input helps us to meet our grant-funded objectives and improve our podcast: https://forms.gle/yZV2DTFH6Jo4Kyss5Special thanks to our partner: UM Inner City Library Makerspace for providing facilities for recording.This project is financially funded by UM Diversity & Inclusivity Grant 2022. For more information, visit: https://www.maastrichtuniversity.nl/about-um/diversity-inclusivity/your-di-vision-um Music: Funkorama by Kevin MacLeodLink: https://incompetech.filmmusic.io/song/3788-funkorama License: https://filmmusic.io/standard-license
Tune in to the Vanguard weekly podcast to hear valuable insights and opinion about the Canadian defence industry. Produced by leading industry publisher Vanguard Media, each episode focuses on leadership, trends, and relevant topics from industry. Key themes include C4ISR, ShipTech, technology, cyber and a wide variety of additional industry updates and events. Regular show contributors include Terri Pavelic, editor-in-chief of Vanguard Media, Caleb Walker, Country Manager, WYWM, special guests from industry and so much more! Listen in, to hear about what's going on within the Canadian Defence Industry. Episode 4: NORAD modernization - next steps Joint, all domain, command, and control – data driving decision making ShipTech 2022 update – the speakers and agenda WiDS – the awards and why this is such an important event to attend Availability vs. readiness – the football analogy Digital insurgency – a use case To submit topics and ideas, write to us at: editorialteam@promotivemedia.ca For advertising inquiries, contact: Mr. David Blondeau: david@promotivemedia.ca Follow us on: Twitter, LinkedIn and Facebook
Recently launched Vanguard weekly, discusses news insights and opinions for the Canadian defence industry. Tune in as show host J. Richard Jones chats with Vanguard media's editor-in-chief Terri Pavelic on a weekly basis to provide updates and opinion as well as speaking with special guests about industry, events and so much more. Episode 2. In this episode: C4ISR 2002, the event, the speakers and why this event is so important this year WiDS event update What is a game changer Interview with Caleb Walker, country manager WYWM. Leveraging military reservists Congratulate a game changer. An interview with Robert Osbourn, Chief Technology Officer, Global Governments at ServiceNow
This week we sit down with Carly Fratianne, musician and gravel racer. Carly turned a period of professional unrest due to Covid into a passion for gravel cycling. We look at how her miles and miles of riding led to artistic inspiration and to completing UNBOUND 200. Episode Sponsor: Competitive Cyclist use code 'TheGravelRide' Carly's music: Lui and Wyd Join the Ridership Support the Podcast Automated episode transcription (please excuse the typos): Carly Fratianne [00:00:00] Craig Dalton: Hello and welcome to the gravel rod podcast. I'm your host Craig Dalton. For those long time, listeners, you may have noticed a little different intro music today. [00:00:19] That's because on today's show, we're interviewing Carly [00:00:23] That intro music was courtesy ever band. W Y D she also just recently released a music under the artists name, Louis. [00:00:32] So why is Carly on the podcast today? Pretty valid question. If you ask me, [00:00:39] As you can imagine the pandemic has not been kind to musicians and people who earn their living, playing out in live stadiums, et cetera. Carly is one of those musicians who turn that kind of available time into something different. She became a gravel racer and actually completed. Unbound in 2021. I thought it was an interesting conversation. As you know, I love the fact that gravel is such a inviting community. [00:01:08] And to hear Carly's story and her journey to gravel cycling, I just think is really interesting. And I thought it was a unique opportunity. At the end of the year to expose us all to a little new music. So i hope you enjoy this rather unique episode of the gravel ride podcast. [00:01:26] Before we jump into this week show, I need to thank this week. Sponsor competitive cyclist. Competitive cyclist is the online specialty retailer of gravel and mountain bikes components apparel and accessories Be trained, cycling standout brands like pock castelli pearl izumi in five 10 it's unrivaled in-house bike assembly operation they bring the personalized attention of a local bike shop along with the selection and convenience only possible while shopping online. [00:01:55] As I've mentioned before, the real difference that competitive cyclists are the gearheads they're equal parts, customer service, cycling fanatics gear heads are former pro athletes, Olympians and seasoned athletes. With years of experience, all available by phone, email, or chat for product recommendations and hard won advice. I had a great experience with my personal gear head maggie but as i mentioned on the last episode is on the competitive cyclist.com site and i think i spent 45 minutes just cruising around looking at all the great gravel goodies over there. [00:02:32] I ended up way, overfilling my cart and had to edit it back down for my budget. But I got a few important, nice to haves and some critical maintenance items that I haven't been able to find in stock. Anywhere else says stoked to actually have brake pads. It turns out they're a very important component of breaking. [00:02:52] Anyway, I encourage you to go check out competitive cyclists.com/the gravel ride. And two promo code, the gravel ride, and you'll get 15% off your first full price order. Plus free shipping on orders of $50 or more. Some exclusions apply. I mentioned the other day that I placed the order in the morning and saw it actually got a shipping notification that afternoon. So there's still time to get those holiday orders in. [00:03:18] Go right now and get 15% off. Plus free shipping@competitivecyclists.com slash the gravel ride. And remember that promo code is the gravel ride. Would that business out of the way, let's jump right into my interview with Carly. [00:03:34] Carly welcome to the show. Hey, thanks for having me. I'm excited to have this conversation because it's going to be twofold. I get to talk to you about being an artist and a gravel cyclist, which is a unique position on the pod. [00:03:48] Carly Fratianne: It's a pretty interesting D person dish world too. [00:03:53] Craig Dalton: Yeah, absolutely. Let's start by talking about, just a little bit about your background, both as an athlete and a musician, and then maybe we can talk about how the pandemic kind of brought them two together, for sure. [00:04:05] Carly Fratianne: As an athlete. [00:04:06] I'd say I was fair to Midland in as a cross country runner in middle school and high school, but that was about the extent of my organized activities. There were some like childhood soccer, but nothing to clinical. And then I was always skateboarding and riding my bike around after school, in the suburbs of Columbus, Ohio which was where I got my first taste of freedom. [00:04:34] And that's definitely. Carried with me for the remaining years of trying to just pursue that musically and I guess athletically, but I like to think of it more as adventuring. [00:04:49] Craig Dalton: That's so funny how, like that. Baseline of endurance athletics, like running track or cross-country in high school or swimming. [00:04:58] So many people I talked to they do that and then they might not do anything for many years. And then they pick up the bike and all of a sudden they're like, oh wow, I already have this fundamental engine that makes me halfway decent as a beginner in this. [00:05:10] Carly Fratianne: Yeah, totally. It definitely makes it like more immediately fun, I think, too, which like, you don't have to do so much the legwork, no pun intended, but to get yourself into a position where you can really like go out and do some serious efforts and then once you build on that, Kinda just like how cool are your routes? [00:05:32] Just like how much of this can you do before you get bored? [00:05:36] Craig Dalton: Yeah, exactly. So it sounds like you laid the groundwork for adventure and at least an appreciation for the outdoors, but presumably given your vocation now, you were also pretty actively pursuing. [00:05:49] Carly Fratianne: Definitely. Yeah, that was, I think that was probably my first real love. [00:05:53] I've been doing that since I was a kid as well. And that is what's driven me to explore, in a less. Less on the bike, but just in general, I think like the pursuit of, a new inspiration and new muse and just a different, like geographical place has always inspired and informed the art. [00:06:17] And I think thusly, like having cycling as like a. Like another means of propulsion is they're just so intrinsically woven [00:06:26] Craig Dalton: together. And in the years prior to the pandemic, was that one, your kind of effort towards music and your kind of commitment and the number of hours was really spiking up. [00:06:37] Carly Fratianne: Yeah, for sure. I, so I was in w Y D and Southern were to time. Projects for me. And then I also, had I worked at a job as a screen printer and in Columbus, or I was, waiting tables. And we were gigging out, but I between the two bands, it was at least two or three weekends out of the month. [00:07:00] And just traveling as much as we could and Recording all the time. And that was a pretty serious time commitment there. And. It was no longer such a heavy presence from, due to the COVID lockdowns and stuff. It was, there was just like a lot of empty space there. [00:07:20] Craig Dalton: Yeah. It must've been it's so shocking to have all those live venues, which in addition to playing, I'm sure you were an active participant in listening and going out to live events and knowing others in the industry, including my cousin, like just that dramatic. [00:07:35] Removal of that entire part of your life. I can only imagine how jarring it must've been. [00:07:42] Carly Fratianne: It was crazy. If I'm honest, I don't even like really remember a lot of that time period. I would just like, so just like devastated and it's almost like I'm only now realizing like what like at serious, like depressive time that was personally. [00:08:01] But yeah, like the venues, in Columbus, they're all owned by people that we know, like they're like close friends and it's a very like tight knit scene there. Being worried about him, maybe they're not going to come back online or who's going to be able to make it through this. [00:08:15] Are we ever going to be able to do this again? It was a lot of big questions and really just nothing to do, but wait, see how it pans out. [00:08:25] Craig Dalton: Yeah. And I remember certainly personally in the early days you were thinking, oh, weightings going to look like two weeks or a month. [00:08:32] Carly Fratianne: Yeah. I remember getting so we had shows lined up, obviously like before the thing I was actually in Texas when the initial lockdown happened and I came back up to Columbus and we still had. [00:08:46] Between the two bands, at least a half a dozen shows that were scheduled to happen and within the next like month or two and yeah. A domino effect where everybody was trying to figure out if like what we needed to do to postpone things or like how to, work with the logistics. [00:09:02] And it would, he'd get emails from promoters. Yeah, I think. We'll schedule it again for next month or something, or we're going to postpone our tour date here for a month or two. And we'll see about whatever September, I don't even remember what the actual dates were, but then it was just like, everything just went to a screeching hole and it was like, okay, we're looking at 2024. [00:09:26] Okay this is happening now. [00:09:29] Craig Dalton: Devastating. So when you're, as you're going through that moment, obviously, they've, they're like this big sense of loss and transition. Was the bike something you immediately, you sought out for solace or did you have to go through a process and then discover the bike again? [00:09:44] Carly Fratianne: You know what I is, it's actually funny. So I had just kinda started getting into doing some like more long distance stuff. In the, probably the year before, like the year leading up to it, I was riding, but it was mostly road riding. Cause I just didn't really know that gravel existed yet. I knew it existed, but I didn't know that there was like a community in Columbus or, in the world. [00:10:10] That was accessible to me. And I met some people in Columbus. One of them, I started work at a bike shop in Columbus called Velo science. And the owner, Jeff Clark. He was one of my first gravel buddies. And he introduced me to a bunch of people and there's actually the Ohio gravel grinders is a little community that yeah. [00:10:33] Craig Dalton: Yeah, for the frequent for frequent listeners. I've had Ray George on the podcast before and love, love all the effort that Ray and everybody involved in that community has put into Ohio and putting, just putting such great information out there for wannabe. Yeah, gravel, cyclists. It's [00:10:49] Carly Fratianne: yeah, it's awesome. [00:10:50] That was how I started getting into it. I would just go, on ride with GPS and see what they had on their page. And there's always something that looked like fun and there's like you said, they're so like, informed and like the routes themselves are all uploaded with like awesome like notes and there's a huge dog here or bring a shit ton of water because there is none. [00:11:13] Craig Dalton: Yeah. I feel like there's one ride that there's a signature animal, like a donkey or something that you come [00:11:18] Carly Fratianne: yeah. Donkey March Yeti. I, yeah, I was just seeing some friends when I visited him the other day, the thing is hilarious. I only, I knew he existed. But I never seen him. And I was on a ride one day. [00:11:32] I was training for Unbound with my friend, Melissa, and we were riding down this road out it's out in Homer is the little town. Okay. And we were just going down and I saw just like a F we okay to rewind for a split. Second, we had been chased by more dogs on this ride then like you would believe was humanly possible. [00:11:54] It was like five or six of them. And we were just, we were like pissed and stressed out. It was like, it was traumatic in a funny way that, you know, we as cyclists to understand. But. So we're coming down the road and she's a little bit in front of me. And I just see this flash of brown movement come from behind this like really thin tree line. [00:12:17] And I didn't see that there was like a wire fence or anything. I was just like, oh my God, Mel look out like screaming at her. Move cause she didn't see it. And I stopped the bike cause I realized it's not a dog and I didn't even know what it was. And this donkey just reached his head over the fence and uttered the loudest most hilarious, two minutes of sound. I have ever heard in my life. I wish I had recorded it. It was so funny and I just stood there and Mel just stood there and we were just like, what is this creature? Then obviously figured out that it was the infamous donkey machete. We felt really bad that we didn't have any extra food for him. [00:12:55] So [00:12:56] Craig Dalton: I feel like that's a Ohio badge of honor to visit that donkey. [00:13:01] Carly Fratianne: Gotta do it. Yeah, you got, it's really funny. Such a thing now that when we met him the first time, the. Came out with a huge carrot and was just like, oh yeah, I figured you guys didn't have any food for him. So I got to give him this. [00:13:17] Otherwise he'll just stand there and do that all day. He's just so used to the cyclists coming through she's we don't even really feed him anymore. Each just gets enough food. [00:13:27] Craig Dalton: That's so funny. I'm sure Ray, who I'm sure you interact with would love to hear. Like the work that he and the community have done felt inviting, felt informative. [00:13:38] We talk about that so much on this podcast. Just the idea of the importance of locals, building community around gravel cycling, because it is intimidating, like even here and wherever you are, when you go out into the wilderness, like it's a little bit confusing, can be a little bit scary. It can be a lot intimidate. [00:13:56] When you're first getting into it. So having someone who's out there just putting information out there, and it sounds like their ride with GPS files are filled with, notes of where to get water and where the donkey is and all kinds of good stuff. It's such a powerful effort that locals can do wherever they are to put good vibes out there in the gravel. [00:14:15] Oh, my [00:14:16] Carly Fratianne: God. Absolutely. And to, yeah to tap on your point about him being like intimidating in the wilderness and stuff. Like I was pretty, I'm a pretty small bodied female in. I think that I'm like, I was not brought up socialized to just go off into the wilderness like that and throw caution to the wind. [00:14:37] But, and I don't think that a lot of young girls are, or, young people in general these days and to. I have even just a little bit of guidance too, just to show you what you're capable of and help you get your foot in the door has built like an immense amount of confidence for me. [00:14:55] And I'm sure for plenty of other people and just knowing that you can go out there and like most of the people you meet are actually going to be pretty nice. And like you don't have to be afraid of coyotes usually. And there's just like a lot of. I don't want to say irrational fear, but like a lot of unchecked fear that kind of, if you can just get over it a little bit, you can get over it a lot, a bit. [00:15:21] And having the guidance of a community is like pretty crucial to getting over [00:15:25] Craig Dalton: that first step. Absolutely. Yeah. I think once you get that right bike, that right. Gravel bike that's capable, even if your notion is that I'm going to start on the right. Then you start seeing little dirt paths and maybe you take a quarter mile on the dirt and you start to realize, yeah, not only am I capable of doing this, not only is my bike capable of doing it, but I'd like to do it more and it's better than the time I'm spending on the road and safer, et cetera. [00:15:50] Yeah. [00:15:50] Carly Fratianne: It's safer. More interesting stuff. I always joke with my friends that I have to meet a new cow every day. It's like a hilarious little mantra of mine just to continue to explore, even if, you're landlocked in an area, just keep looking for more different stuff. [00:16:09] Craig Dalton: Yeah. So in those early days of the pandemic, as you started to discover gravel riding a little bit more, it sounds like you're available time to explore also expanded because you weren't able to gig the way you were and maybe your other employment wasn't as as fruitful. [00:16:25] Carly Fratianne: Yeah. Yeah. It was a lot of long days. I did I did my first century ride. I don't even remember when that was. It was probably right about when I got back from Texas, I had been working at rogue fitness as a like assembly line worker. I was just like building squat racks for like the CrossFit scene. [00:16:51] I was, that was very hard work. And I like took a day. And I wrote a century ride with one of my friends Alex, who was the basis in Southern. And I had never done a ride that long before. And I was just like, oh my God, I can just go and spend the whole freaking day on the bike if I want to this is amazing. [00:17:10] And so I just started going out or like long days, at least a couple of times a week. I loved it. I just love I would listen to music sometimes, but I really just loved the solitude. And I hardly even rode with anyone. Like when I was first getting into it, I'm into like the longer rides. [00:17:29] And then I guess it was when I started riding with with Jeff that I got really super hooked on the gravel and just that sort of became the primary focus is just to find new roads and just get off of the, get off of the beaten path. So to speak, [00:17:47] Craig Dalton: not that there were likely any events, but were you doing any events at that time or was it all solo riding or with friends? [00:17:54] Carly Fratianne: It was all similar writing and occasionally with friends they canceled all their races. I think I was signed up to do my first advantage. It wasn't a race it's called the tossers just stands for a tour this side of river valley. And it's it's 200 miles, but it's like in two days, so you get taken out and back a hundred miles. [00:18:17] And that was canceled. I was like training for that. When I was. Coming back from Texas. So that was going to be my first event and they canceled that. And then everything else just tumbled off [00:18:31] Craig Dalton: during this period of time where you're getting all those miles in. What was going on with your kind of musical career? [00:18:37] Was it, were you working on stuff at the time? Does writing help you come up with lyrics or ideas? [00:18:44] Carly Fratianne: Yeah, yeah, it's a lot of songs were written on a bike this past year. It's an amazing place to process. You get out there and you just have, the wheels spinning and you just start thinking about stuff. [00:18:57] And I tend to think really rhythmically when I'm writing lyrics. Okay. And something about being on the bike is just it's a really like good like rhythmic activity. So it I don't know why, but it just stimulates your brain a little bit. And so I was, yeah, I guess to, to answer your question, I was writing and recording like a little bit In had a little demo studio set up in the house that I was living at the time with my partner in the band, w I D a, we were trying to track stuff, but it was slow going, I wrote a lot that year, but I didn't really, I wasn't really, for any specific. [00:19:42] Purpose, like I haven't even really recorded a lot of that music and it was just a really like strange black hole of time, wherein it didn't really feel important to be making art that was like for a purpose. I guess that's just like the nature of like human crazies, but Yeah, it was mostly just for expression. [00:20:07] And I guess that like break period was informative to I think on I don't want to say better physical level, but there was something in my like, spirit that just deeply needed to just turn everything off for a while. [00:20:24] Craig Dalton: Interesting. I want to come back to the gravel cycling side of things, but before we do the culmination and then this year in 2021, you've actually launched a solo project. [00:20:35] Is that correct? [00:20:37] Carly Fratianne: Yeah. Yeah. [00:20:39] Craig Dalton: Oh, yeah. Is that just personal curiosity? Is are there complexities, obviously you're continuing to work with WIDS as a band or their complexities and kind of managing those interpersonal relationships or was it pretty clear oh, this personal thing is, feels so different than it's a different expression of my art. [00:20:57] Carly Fratianne: It's you know what? It's a little bit easier than I thought it was going to be. Actually, I was worried about that too, but. Keeping communication open is always key. But I think also like it, this material that I was working on for when I started working on the Louis project was definitely very different or at least if it felt that way to me. [00:21:22] And I think I, if you asked anyone that was involved in the project, they would either project, they would probably agree. So I don't think there was a ton of I don't know there wasn't really much friction, but it is you bring up a good point that there were some conversations that had to be had. So yeah, [00:21:38] Craig Dalton: that for the listener, you won't know this, but in the intro, I've played a little bit of the w Y D track that was shared with me. [00:21:46] And I'll just drop in right now, your need for now track under the artist's name of Louie and let the listener take a look at it. And. Awesome. [00:21:58] Yeah. [00:24:33] Cool. So that was great. I, it's funny. I was playing it last night for my seven year old son and he yelled in from the other room. [00:24:39] He's I really [00:24:40] Like. that song. [00:24:41] He's very he's very musical, so it's super cute. And he periodically yells things like that to me. So for the seven year old crowd, I guess you nailed it. That [00:24:51] Carly Fratianne: is awesome. And got started from young. [00:24:55] Craig Dalton: Exactly. Exactly. I'm sure it's going to be a cool journey and hopefully, you'll be able to get back to both gigging as a solo artist and back with the band. [00:25:03] Cause it sounds like that's where you really come alive on stage. [00:25:07] Carly Fratianne: For sure. Yeah. I, it's been a lot of solo, small shows this year, so far which has actually been really nice. I do miss being up there and being loud. W I D is had the opportunity to play a handful of like bigger, full capacity shows. [00:25:24] And Madison is strange drug. I tell you what it'd be ended up there. It's the kind of energy that I feel really privileged to have gotten to experience even just in the years that I've been doing it. But yeah, there is a good intimacy with the solo thing. That's been enough to hold me over, [00:25:44] Craig Dalton: yeah. Yeah. I I think a drug is probably an apt comparison because I imagine that it just feels electric to be on stage and in front of people and to feel the energy and the enthusiasm. Yeah. [00:25:57] Carly Fratianne: Yeah. It's it's absolutely on paralleled. When you're, especially in a hometown show and you're in a room full of people that are like really stoked on what you're doing. [00:26:08] You can just feel the energy. It's like a force of nature and it just comes right back at you. And it's it takes days for you to be able to shake it off even really [00:26:19] Craig Dalton: yeah. Now for the most awkward segue in podcasting history, talking about community and feeling that energy, I did want to come back to you did Unbound, which is crazy to think about, obviously you've been active your whole life and it's not like you're a new athlete, but to go from, Hey, I like this gravel riding thing to knocking out on. [00:26:41] It's quite a journey. So why don't you talk about like maybe how you got exposed to Unbound and what made you think it was a good idea to go for [00:26:48] Carly Fratianne: it? Oh my God. Okay. This is I truly couldn't have recreated this. If I had to re-engineer my life it was just very happenstance. I knew of Unbound. [00:27:01] Just cause I had watched, YouTube videos of, cause I, once you get into it, you're like, oh my God this is crazy. Like these people do this stuff. This is just nuts. So I had watched a couple of videos about it and I was just like, man, like that is some wild shit. I don't even know how you can do that. [00:27:18] And. I was, I had just joined there's a cycling team called lady NAR shredders in Columbus. And obviously they were no amendments. We were just organizing smaller group rides or, going out and a couple of people at a time to just hang out and get to know each other. And I. [00:27:37] Meegan Gerkey who is, I don't know if she's still the, one of the administrators, but she was she was doing the recruiting and she sorta took me under her wing and helped show me a bunch of stuff, just about like how to do bike riding in a real, like more scientific way. [00:27:55] And then Melissa wick who had also just joined that year. And we were, the three of us were like the ones that were into the gravel the most. So we got together and did a gravel ride. It was cold. I feel like it was probably, I want to say December, maybe November, December of that, of the year before. [00:28:15] We had just all met and we're just riding or riding along, talking about stuff. And Meagan heads, she was set to do it in 2021 or 2020. Oh yeah, 2020. And then when it got deferred, she was going to do it the next year because they announced that they were going to have it. And Melissa had also signed up and they were talking about it and I was like, oh my God. [00:28:41] You guys just do that. You guys are going to do that race. Like you gotta be kidding me. And then they're both just you should do it too. And I was just like, okay whatever. So it was funny. The lottery opened like that. It was like that week. I think it was like a couple of. Later. And I like set an alarm on my phone and everything. [00:29:05] I like typed out my little submission and I sent it in and didn't really think I was just like, alright that's in there. And all known like a couple of months, I just keep riding my bike and whatever. And then I went down to Texas in, I think February late February. And it was just doing a bunch of training down here. [00:29:27] Cause it's nice out and it's boom, not snowing. I was able to keep getting some like longer endurance rides in without getting frostbite. And I got, I was like headed out to go camp in hill country and I got an email on my phone and it just said you're in. And I looked at it and I was like, oh shit. [00:29:48] Okay. All right. So immediately I called Melissa and me. I'm just like, okay, you guys we gotta get serious. Like we gotta go do this thing. And they're just like, oh yeah, whatever. So I went I spent another month in Texas and then I went back to Columbus and the three of us just started training like crazy. [00:30:07] And. Yeah, we were doing some really absurd rides, just trying to get as much gravel and as much distance as possible. And I think the training for that race was like some of the most fun I've ever had in my life. Just like the amount of like insane experiences that were had on bikes between the three of us is just I didn't, I wouldn't have thought it was possible to like, have that much fun and be doing a freaking bike ride. [00:30:39] Yeah. Then we did the race and we all finished and we were just like okay. That was crazy. And that what we do, [00:30:46] Craig Dalton: how would, how did that feel lining up at the starting line with such an energy and large field at Unbound? It must've been crazy compared to what you'd been experiencing previously. [00:30:58] Carly Fratianne: Oh yeah. So my, I did my first race. It was a 50 mile race in Ohio, and then I did the gravel Locos race in Texas. So those were the only two organize events I'd ever done. And they were both like, super-duper small. Like the one in Ohio is I think I was the only person in my age, like in my wave for that And then the Heico race was like super small. [00:31:23] It was the first year they'd done it. Awesome. And then gravel Locos is awesome. But that too is just I don't even, they were like a hundred people or something there, and this was like nuts. Like you see like videos, people post of like the start lines at these events, but like you, when you have that, when you're in the middle of it, and this is just Unreal. [00:31:45] And to just to think if you've never done the event before, you're literally just sitting there, like you have no idea what to expect. All the training in the world could go out of the window in a second. Like it's just such an intense place. [00:31:59] Craig Dalton: The interesting thing is like you think about gravel riding. [00:32:01] And for many of us, it's like a small group or solo affair. And when you're riding on a 12 foot wide gravel road, You've got a lot of room to pick lines, right? Your, you can go wherever you want. And then all of a sudden you join one of these events with a thousand people in it or more, you don't get to pick your lines. [00:32:18] Like you're 12 abreast on a 12 foot road, and you'd never know what's going to come up. I imagine in those first few miles, at least, right? Oh my God. [00:32:27] Carly Fratianne: Yeah, there were, oh God, there were so many sketchy areas in the first 50 miles of that. I saw quite a few wrecks or near wrecks. And it, you're just like on top of each other and nothing employer is like just such an interesting mix of. [00:32:51] Perfectly graded, flat roads. And then just like the gnarliest, like it's just like a washed out Creek, but like no same motorist would drive a car on it, but it's like the same problem. And you're just like, how can this be? And when you're proud on top of each other, like you said, there's, you can't see any lines, let alone a good one. [00:33:11] So you're just. Holding the bars and like praying, you're just like bunny hopping from rock to rock. Just like hoping you don't get a [00:33:20] Craig Dalton: flat. Yeah. Yeah. You imagine the PR pros and fast people at the front of the race trying to get out ahead of it. But when I'm doing these events and imagine like you there's no getting out ahead of anybody, like there's always going to be someone ahead of you and behind you. [00:33:33] Carly Fratianne: Oh, yeah, you're definitely just in the pack until the pack explodes and it can start, they can take a while to get get spaced out. It's it is it's super wild too. Cause you know, you ride the first half of that race and you're just like sardines and then, by mile one, 20 or. What you're like riding past people that are taking a nap, it's just such a different experience in the second half. [00:34:00] Craig Dalton: Did you spend a lot of time thinking about that second half and how to make sure you were fueled up and fit enough for it? Cause I imagine, the first half of the. Obviously like many of us can get to a hundred mile fitness, but beyond a hundred miles, it's both a different story from a fitness perspective, but also from a nutrition and hydration perspective, any corner you've cut is going to be a problem. [00:34:22] Carly Fratianne: Oh my God. Absolutely. That was, that was one thing that I really actually did have to train for. Specifically was like being able to like, take enough nutrition on the bike. Because you it's true, like you, your body it stops being able to like process things after awhile when you're working that hard. [00:34:41] And the heat is a huge factor that I think doesn't always get taking it in deep and as it shifts really quickly, and once you have started to dehydrate, you can. Really eat any more than what had guessed, which basically renders you in a state of almost bonking for like until you figure it out. [00:35:07] And I don't even, I had a couple of like really like weird, bad nutrition choices. But I think I was able to kind of phone it in a little bit as far as like being able to keep the food down. So the the actual training from a fitness standpoint was basically just a get as much gravel as you can. [00:35:31] And because. By the end of a hundred miles or whatever, you're like your whole body starts to just a it's it's like your legs are tired. Sure. But like also, like you're carrying your water on your back and you're just like riding up and down rocks. And everything is just like shaking around, like constantly. [00:35:51] And I had to just prepare for that by I guess just like doing rides with like fully loaded, even when I didn't need that water on my back. I would take the camera back with me. And then nutrition, I. I experimented with a lot of stuff, because I knew that I was going to need something that was not going to be like invasive to the gut. [00:36:12] And what Mel and I landed on was we made some of those recipes out of that scratch labs the portables book. Oh my God. It was amazing. Yeah. We just basically made like a bunch of different kinds of rice cakes and just wrap them in foil which it worked really well. And it was like super cheap. [00:36:31] I will say if I had to do that again, I would have probably brought more gels actually, because I was trying to stay off of them because they typically upset my stomach as probably most people tell you as well. I think between the dehydration, it was just like, it's got to be super hard to process solid food towards the end. [00:36:53] Craig Dalton: Yeah. I think to your point earlier, it's you need to have variety. Like when you're training rides, it's pretty easy to at least for me, like I can eat the exact same nutritional plans. For a five-hour ride every single week, like no issue whatsoever. But when you're talking about, anything beyond six hours and 12 hours, like you, you're just going to want to have different things. [00:37:15] And some of the things we talked about this before on the podcast, just this idea that, you're going to have horrible moments in these events sometimes. And that could be a mechanical moment. That could be like a gut moment or even a mental moment. And the important thing everybody's going to go through that from the professional riders to the last place person on the event, you just have to know that it will pass. [00:37:38] And the only thing you need to be concerned about is continually moving for. [00:37:43] Carly Fratianne: Yeah exactly. And like the, yeah, I think the one 20 mile mark is like really where it starts to like, get real. That's when you just see people like, coming apart on the side of the road and you're just thinking wow, okay, what do I have to do to make sure that doesn't happen to me? [00:37:58] And as long as you're able to like, eat and drink, you'll probably be fine, but there's definitely a moment where. You just don't want anything like you just can't like, you just can't. And think of a single thing on earth. That sounds good. And your w your drink mix just makes you want to puke. Like I bought a huge bag of the strawberry lemonade scratch because it was my favorite flavor. [00:38:24] I was like, okay, this is great. I will have to buy a new bag of this for forever. I'm telling you by the end of this. I was like, man, I need to just get rid of this whole bag. Like I'll never be able to drink this shit again. It is. So just like sickly, reminiscent of a horrible feeling in my [00:38:40] Craig Dalton: body PTSD by hydration, [00:38:45] Carly Fratianne: literally. [00:38:45] Yeah. It was such a even still I still have the bag every once in a while. I'll throw some in my bottles. I share every time I'm just like, oh, okay. It's still just reminds me of that. [00:38:57] Craig Dalton: Okay. So as hopefully we look forward to a future where your, know, your musical endeavors can become a bigger time in your life and we can get back to going to live music venues. [00:39:08] Are you going to continue gravel cycling? Do you have ambitions for 2022 to continue doing. [00:39:14] Carly Fratianne: Yeah, I'm I'm not sure which I know I will probably, I will try and do Unbound again. I would like to beat the sun. That's a small goal, but as far as events go I'm less compelled to events this year. [00:39:28] And I will probably be spending a bulk of my time doing some bike packing. Right now, I'm in Texas, which is one of my favorite places to ride. There are lots of race routes and stuff that you can find that are, pre there maybe an hour out of town, but they're pretty accessible and it's all like ranch road. [00:39:46] So you can get, I you can go a day without seeing the. Really and it's, it's beautiful and it's temperate. So I'm going to spend some time down here and then I'm going to head out to Arizona and a little bit to do some bike packing on some of the the trails out there. I would, I will probably make an attempt at the monument. [00:40:09] I don't know that I'll do it all in one go. But if the weather holds out over the next couple of weeks, I'll probably see which one looks the most enticing and go for it. [00:40:21] Craig Dalton: Awesome. That sounds amazing. We're happy to have you. I'm happy to have had this discussion. I love, I just love, it's just a great story. [00:40:28] The inclusiveness of gravel and how everybody's welcome. And whether it's doing events or bike packing, or riding with friends, like we want all comers to the sport. [00:40:38] Carly Fratianne: Yeah. It's a, it's an awesome sport. It's like probably the most inclusive sport I can think of as far as any, fitness level can find something, any person of any age can find something you can just like. [00:40:57] Kind of make it into whatever you want. And I think that's the beauty of it is that, there, there are a few, there are a few barriers to entry. The only one really is do you have a bike? And is your spirit adventurous? [00:41:11] Craig Dalton: Yeah. Awesome. I think that's a good place to end. Thanks Carly so much for the time. [00:41:16] Carly Fratianne: Thanks so much for having me, Greg. [00:41:18] Craig Dalton: That's going to do it for this week's edition of the gravel ride podcast. I hope you enjoyed this show. Happy to have your feedback. Obviously I'm not a master editor. So weaving some of that music in was a bit of a challenge for me, but it was a great conversation. I really enjoyed getting to know Carly and her journey into this gravel cycling community that we all love so much. [00:41:42] Big, thanks to competitive cyclists for sponsoring this week's edition of the gravel ride podcast. Remember it's promo code the gravel ride@competitivecyclists.com for 15% off. If you're looking to connect with me, I encourage you to come and join us in the ridership forum. It's www.theridership.com. [00:42:05] And if you're able to support the podcast financially, simply visit buy me a coffee. Dot com slash the gravel ride. Continuing with the theme of this show, I'm going to drop in one of Carly's other songs, a full track for you to listen. It's the same one that we opened up with, but I'll let it play into its conclusion. [00:42:26] As a peaceful way for you ending this podcast. Until next time. Here's to finding some dirt under your wheels [00:42:34]
When Tahu Kukutai's father went to school, he wasn't allowed to speak his native language. If he did, he would be hit by his teachers. While the situation for the Maori people in Aotearoa (the Maori name for New Zealand) has improved somewhat since then, Tahu has dedicated her career to advocating for the rights of Indigenous peoples to preserve their native language, identity, communities, and culture. In today's world, power over data is a central component of indigenous self-determination. Government agencies decide what data gets collected on whom and how it gets used, shared, and stored. There's a long history of data colonialism and state surveillance of indigenous communities designed for government priorities. Indigenous data sovereignty provides a framework to determine what data are collected and how it's used, the ethical framework and governance, and the intended beneficiaries. Indigenous peoples have a different perspective on data. Most western frameworks about data protection, rights, and privacy are focused on the individual. The indigenous concept of data, data sovereignty and data rights are instead focused on the collective. Indigenous data are any information that impacts both the individual and the collective such as natural resources, nations, peoples, traditional and cultural information, oral histories, and ancestral knowledge. Tahu is advocating for indigenous data sovereignty as a founding member of the Māori Data Sovereignty Network Te Mana Raraunga and the Global Indigenous Data Alliance (GIDA) that works to control the collection, ownership, and application of data about their people, territories, and natural resources.While there's a growing willingness from government agencies to engage in conversations around Maori data sovereignty, she says there is a lot of work ahead. Private sector big data organizations also have a major role to play, and she hopes they will be more proactive about doing this work internally to be relevant to the growing Maori population. Maori currently make up 16-18% of the Aotearoa population, compared to roughly 5% indigenous populations in the US, Canada, and Australia. Tahu says that advocating for any issue fundamental to the wellbeing of the Maori, whether it's language revitalization, land rights, or water rights, has always been driven by the Maori. “I have huge optimism that change can occur, but it will only ever be driven by ourselves. That doesn't mean that others don't have a role to play and there are some very positive steps,” she says. “There's incredible resilience, fortitude, and tenacity in indigenous communities around the world who have refused to let go of their identity. The challenge is to move from surviving to thriving.”RELATED LINKSConnect with Tahu on LinkedIN and TwitterFind out more about National Institute of Demographic and Economic Analysis (NIDEA)Find out more about University of Waikato Connect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
Allison Koenecke, who received her PhD from Stanford's Institute for Computational and Mathematical Engineering (ICME), describes how her experiences in academia and industry shaped her decision to return to academia. Currently a postdoc at Microsoft Research in the Machine Learning and Statistics group, she starts as an Assistant Professor of Information Science at Cornell University next year. Her research interests lie at the intersection of economics and computer science, with projects focusing on fairness in algorithmic systems and causal inference in public health.Allison says in her career so far, she has always tried to keep as many doors open as possible but recognized, at some point, you have to start closing doors and specialize. After getting her bachelor's degree in mathematics from MIT, she worked in economic consulting for a few years and realized she wanted to do something with more social benefit. While she was working in industry and during summer internships, she kept in touch with professors and kept up with her research so she could have that option open if she wanted to go back to school. One of the main reasons she chose to stay in academia was industry and government did not offer what she was looking for. For example, if you stay in industry long-term and your research is critiquing big tech companies, you may run into roadblocks or not be seen as a neutral third-party observer, as you would be seen in academia. Or at a government think tank, your work wouldn't necessarily have as much reach as in academia. But even more, a lot of the reason she stayed in academia was the people. Allison's research is interdisciplinary and falls into two categories. The first is a fairness in online services and algorithmic services, such as speech-to-text or online ads and looking at the racial disparities in those services. And the second branch is on causal inference, which is usually applied to things like public health. Most of her thesis focuses on fairness with the services that we use every day.One of her research projects is about Google ads used to enroll people in food stamps and how to make decisions about fairness when it costs more to show those ads to Spanish speakers versus English speakers. She is also doing fairness research on racial disparities on speech-to-text systems developed by large tech companies to ensure systems are usable for African American populations that may not able to use their tools simply because they speak with a different variety of English than standard English. She says you need to have people thinking about fairness problems at all steps of the pipeline before you build a product that might harm certain groups of people. She's hoping to bring awareness to different blind spots to make sure technology actually works for everyone.RELATED LINKSConnect with Allison on LinkedIN and TwitterFind out more about the Microsoft Research Machine Learning and Statistics groupFind out more about Cornell University Information ScienceConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
Though Karina showed an early aptitude in math, her high school counselor advised her against pursuing an engineering degree. She ignored his advice and went on to earn her undergrad degree in mechanical engineering from the University of Rhode Island and a PhD in Aeronautics from Caltech. She landed her first job as a speech-to-text engineer at TRW where she was awarded her first patent. She then moved on to technology transfer as a patent agent at the Jet Propulsion Lab. She bounced back to academia, managing corporate partnerships for Caltech, and then returned to industry as Google's University Lead for Google Cloud AI/Machine Learning. She is now at SAP as Global Head of Academies and University Alliances, continuing to connect industry and academia.In her diverse career spanning business and education, she has seen increasing power concentrated in big tech companies through their ownership of immense datasets and computational power. Companies are also attracting talent away from universities that are now having a hard time hiring enough computer science faculty. She says there are some creative ways to bring back some balance by companies hosting visiting faculty and industry partners coming in to teach at universities.Karina is also very concerned about ensuring fairness in data science. She explains that it's not just the software that's being developed, but the datasets that are used to create predictive models. If a company just collects data from one demographic and then applies it to everyone, that introduces bias, and then the algorithms amplify these biases. She believes that the only way to address this is to have more ethnic, gender and geographic diversity in the field of data science. She sees a vital need to encourage more women and minorities to enter the field to bring diverse perspectives to data science.For people interested in pursuing a career in data science, she advises gaining the basic skills in math, science, and programming languages, but the most important quality is the ability to learn because everything is constantly changing. She recommends keeping your options open, acquiring as many skills as possible, and sharpening your interpersonal skills. Karina also says to challenge yourself. “We don't grow in a space of comfort. You grow when you're challenged, it's okay to be uncomfortable because that's likely the place of greatest growth. There's no such thing as failure, you either win or you learn.” RELATED LINKSConnect with Karina on LinkedIn and TwitterFind out more about SAPConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford Profile
In deze aflevering van De Dataloog krijgen twee powervrouwen het woord. Roos Rooijakkers en Vera van der Lelij vertellen hoe zij, na een studie econometrie, succesvolle data scientists zijn geworden. Wie zijn hun vrouwelijke voorbeelden? Wat brengt diversiteit in data science? Is Nederland een conservatief land? En waarom moet jij, beste luisteraar, voortaan deelnemen aan de WiDS-conferentie? Met een aantal anekdotes illustreren Vera en Roos hun blik op de data science-wereld.
Where do you start when transitioning from spreadsheets to an analytics program? Alteryx ACE Esther Bezborodko shares tips for driving digital transformation at the organizational level.Check out the full show notes on the Alteryx Community, where you can comment and join in on the conversation, or use #AlterEverythingPodcast on social media.Want more from Alteryx? Follow @Alteryx on Twitter, Facebook, and LinkedIn. You can also join us on the Alteryx Community, and download a free Alteryx trial to begin breaking through your analytic and business challenges.
Who has it worse? Better? Neutral? Anita (mom of 4 kids) and Mel (zero kids and all the dogs) discuss the down and dirty of these different flavors of widowhood.Help us keep the podcast going by joining our Patreon starting at just $5 - www.patreon.com/wwdnWant to buy us some tacos?https://www.buymeacoffee.com/widowwed...Mel's custom relaxation YouTube music channel:https://www.youtube.com/channel/UCL1W...This episode is sponsored by Better Help | Our listeners receive a 10% discount off their first month of professional online counseling with this unique link: https://trybetterhelp.com/wwdnCheck out our website: http://www.widowwedonow.comContact Anita and Mel at widowwedonow@gmail.com
Margot Gerritsen, Stanford professor and a founder of Women in Data Science, joins us for the debut episode of our new podcast, "Data Science Mixer.""Data Science Mixer" lives on it's own feed in Spotify, Apple Podcasts, and the Alteryx Community, so in order to hear more incredible episodes like this one, you'll need to search specifically for "Data Science Mixer" and subscribe. As a special peak into the show, we wanted to share the debut episode with Alter Everything listeners. Enjoy!Check out the full show notes on the Alteryx Community, where you can comment and join in on the conversation, or use the #DataScienceMix on social media.Want more from Alteryx? Follow @Alteryx on Twitter, Facebook, and LinkedIn. You can also register for an Alteryx Community account, and download a free Alteryx trial to break through your analytic and business challenges.
Margot Gerritsen, Stanford professor and a founder of Women in Data Science, joins us for our debut episode. She shares her own data science career journey, her feelings about fundamental concepts in data science, and her perspective on diversity in the field. Margot also offers a great way to keep your data science practice current.Share your own methods in our Cocktail Conversation on the Alteryx Community or on social media with #TopShelfData!Want more from Alteryx? Follow @Alteryx on Twitter, Facebook, and LinkedIn. You can also register for an Alteryx Community account, and download a free Alteryx trial to breakthrough your analytic and business challenges.
The buzz: “In this century the paramount moral challenge will be the struggle for gender equality around the world” (Nicholas D. Kristof). Organizations from the United Nations to university clubs have been trying to secure a world of equality in business for years. Recent initiatives like the UN Women Global Innovation Coalition for Change (GICC), WiDS and FQ (Female Quotient) have created a vast ecosystem matrix focused on creating change. How and where is it happening? The experts speak. Shelley Zalis, The Female Quotient: “In order to be irreplaceable one must always be different” (Coco Chanel). Judy Logan, Women in Data Science (WiDS) Conference, Stanford University: The future belongs to those who believe in the beauty of their dreams (Eleanor Roosevelt). Anita Varshney, SAP: “Hope lies in dreams, in imagination and in the courage of those who dare to make dreams into reality” (Jonas Salk). Join us for The Future of Equality in Business, Technology and Innovation – Part 2.
The buzz: “In this century the paramount moral challenge will be the struggle for gender equality around the world” (Nicholas D. Kristof). Organizations from the United Nations to university clubs have been trying to secure a world of equality in business for years. Recent initiatives like the UN Women Global Innovation Coalition for Change (GICC), WiDS and FQ (Female Quotient) have created a vast ecosystem matrix focused on creating change. How and where is it happening? The experts speak. Shelley Zalis, The Female Quotient: “In order to be irreplaceable one must always be different” (Coco Chanel). Judy Logan, Women in Data Science (WiDS) Conference, Stanford University: The future belongs to those who believe in the beauty of their dreams (Eleanor Roosevelt). Anita Varshney, SAP: “Hope lies in dreams, in imagination and in the courage of those who dare to make dreams into reality” (Jonas Salk). Join us for The Future of Equality in Business, Technology and Innovation – Part 2.
Steve, John, Chris and WID give you John's 3 runs in/run ins with neighbors. WIDs hitchhiking stories. And hot dogs in the Big Easy. It's all that matters on the Single Thread Holding Together the Tapestry of Humanity.
The buzz: “The test for whether or not you can hold a job should not be the arrangement of your chromosomes (Bella Abzug). Organizations from the UN to university clubs have been trying to secure a world of equality in business for years. Initiatives like the UN Women Global Innovation Coalition for Change (GICC), WiDS and FQ (Female Quotient) have created a vast ecosystem matrix focused on creating change. But how and where is it happening? In honor of International Women's Day, our panel will discuss where things stand and what is needed to accelerate change. The experts speak. Anita Varshney, SAP: “Making money is no fun. Contributing to and changing the world is a lot more fun (Muhammed Yunus). Shelley Zalis, The Female Quotient: “Trying to be a man is a waste of a woman” (Coco Chanel). Judy Logan, Women In Data Science, Stanford Univ.: “Set your life on fire. Seek those who fan your flames” (Rumi). Join us for The Future of Equality in Business, Technology and Innovation.
The buzz: “The test for whether or not you can hold a job should not be the arrangement of your chromosomes (Bella Abzug). Organizations from the UN to university clubs have been trying to secure a world of equality in business for years. Initiatives like the UN Women Global Innovation Coalition for Change (GICC), WiDS and FQ (Female Quotient) have created a vast ecosystem matrix focused on creating change. But how and where is it happening? In honor of International Women's Day, our panel will discuss where things stand and what is needed to accelerate change. The experts speak. Anita Varshney, SAP: “Making money is no fun. Contributing to and changing the world is a lot more fun (Muhammed Yunus). Shelley Zalis, The Female Quotient: “Trying to be a man is a waste of a woman” (Coco Chanel). Judy Logan, Women In Data Science, Stanford Univ.: “Set your life on fire. Seek those who fan your flames” (Rumi). Join us for The Future of Equality in Business, Technology and Innovation.
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