Podcasts about interdisciplinary

Show Notes 2025 What do you really learn in acute care—and what does it feel like to use what you've learned in the classroom? In this episode, we speak with Mika Mendoza, a recent UIC DPT graduate, who reflects on the clinical rotation that changed her perspective on physical therapy. From managing a complex discharge for a newly blind patient to navigating transplant floors and collaborating with interprofessional teams, Mika shares powerful insights on growth, uncertainty, and finding purpose in acute care. This episode also marks the debut of our new co-host, Dr. Nicole Neveau, PT, DPT, who brings her experience as a CI and clinical leader into the conversation. Together, she and Leo explore mentorship, first-hand learning, and why exposure to acute care should be standard in DPT education. Whether you're a student, educator, or practicing clinician—this conversation will resonate. Today's Guests: Mika Mendoza, SPT mmendo47@uic.edu https://www.linkedin.com/in/mika-mendoza-dpt2025/ Guest Quotes: 8:21 “ Interdisciplinary collaboration is, is key to acute care. It's not just walking and it's not just standing.” 19:33 “ …not all things were as straightforward as we had learned it in didactic.” 28:45 “ I feel like having students go into an acute care clinical rotation I think it's just so important because you will never know. If you don't try it, right? …Uou miss a hundred percent of the shots that you don't take. And I think it's the same with acute care, especially because there are so many things that get debunked when you're in an acute care clinical rotation.” Rapid Responses: What kind of shoes do you wear in acute care? “Not White Ones” You know you work in acute care when… “ When you try to swipe your badge to get into your house” Links: https://www.aptaacutecare.org/page/2026Elections Connect with our host and the podcast! Leo Arguelles (LEE-O R-GWELL-IS) largue2@uic.edu Twitter @LeoArguellesPT Nicole Neveau ngunder1@gmail.com LinkedIn Danny Young daniel.young@unlv.edu X - @DLYoungDPTPhD Bluesky - @dlyoungdptphd.bsky.social Interested in being a future guest? APTA Acute Care: Website Awards Journal Access https://www.aptaacutecare.org/page/AspireandAchieveMentorshipProgram Twitter @AcuteCareAPTA Facebook APTA Acute Care Instagram @AcademyAcutePT YouTube APTA Acute Care Podcast APTA Acute Care Resources APTA Adult Vital Signs APTA Lab Values Document Webinar Recordings

In this episode of More Than Miles, Kate and Kacy pull back the curtain on what it really means to be part of the medical and performance (MAPP) team supporting the Atlanta Track Club Elite. Since 2021, they've been embedded in the day-to-day care of some of the country's top middle-distance runners—building a one-of-a-kind interdisciplinary model that prioritizes prevention, performance, and athlete well-being. From weekly strategy calls with physicians, dietitians, and sports psychologists, to in-the-trenches strength training sessions and trackside treatment, Kate and Kacy explain how this integrated care model has helped reduce injury rates and elevate athlete performance.They also share how the MAPP team evolved from cautious beginnings to a trusted, high-performing unit—and why this collaborative approach has become a gold standard for elite athlete care. You'll hear behind-the-scenes stories, challenges of managing elite training loads, and why even pro runners need help with heel raises and hamstring strains. Whether you're an athlete, coach, clinician, or fan of high-performance sport, this episode offers a candid and inspiring look at what it takes to keep pros healthy, happy, and fast.Become a supporter of this podcast: https://www.spreaker.com/podcast/more-than-miles--4761296/support.

Ever feel like you're stuck in your own professional bubble, wondering how to actually make connections that matter? Michelle dives in with Veronica Perondi of LEAD San Diego into what it really takes to break out, build a brag-worthy network, and get your seat at the table. From Michelle's personal experience with the program to redefining networking and why you need to join a local leadership program, this convo is all about mixing curiosity, community, and leadership together.   Veronica Perondi is the Executive Director of LEAD San Diego, the leadership development arm of the San Diego Regional Chamber of Commerce. In this role, she leads strategic initiatives to connect and empower leaders across sectors, fostering collaboration and innovation to address regional challenges and create meaningful community impact. With over a decade of experience in creating outcome-driven programs, Veronica is dedicated to fostering learning and personal development at every opportunity. Before joining LEAD San Diego, she held leadership roles at San Diego State University where she oversaw programs that reinforced the connection between learning, leadership and community impact. Veronica holds a bachelor's degree in international relations from San Francisco State University and a master's degree in educational leadership from San Diego State University. ------------------------ In today's episode, we cover the following: What LEAD San Diego is and their impact Interdisciplinary learning What makes someone a leader Reframing the definition of networking and connecting on LinkedIn Inside of the LAP Program Social learning and group dynamics Personal growth with community Contextual learning: geographic and topic-based sessions Showing up as yourself in leadership Michelle's journey going through LEAD How to find your local leadership program ----------------------- RESOURCES: Episode 087: Client Case Study - So Diego ----------------------- GUEST INFO: To learn more about LEAD San Diego, follow them on Facebook and Instagram @LEADSanDiego or their website SDChamber.org/Lead/ ----------------------- Your designs deserve the front page—literally. Searchlight Digital is the women-led SEO and Google Ads agency that helps creative businesses get seen, not just admired. Use code KMA100 at searchlightdigital.ca for $100 off a 60-minute Pick My Brain call and finally get found. ----------------------- WORK WITH MKW CREATIVE CO.   Connect on social with Michelle at: Kiss My Aesthetic Facebook Group Instagram Tik Tok ----------------------- Did you know that the fuel of the POD and the KMA Team runs on coffee? ;) If you love the content shared in the KMA podcast, you're welcome to invite us to a cup of coffee any time - Buy Me a Coffee! ----------------------- This episode is brought to you by Zencastr. Create high quality video and audio content. Get your first two weeks free at https://zencastr.com/?via=kma. ----------------------- This episode of the Kiss My Aesthetic Podcast is brought to you by Audible. Get your first month free at www.audible.com/kma.   This episode was edited by Berta Wired Theme music by: Eliza Rosevera and Nathan Menard

How can dentists help kids breathe, sleep, and grow better—even if the problem isn't the teeth? When should you refer, and what tools can you use right now in your practice? In this AES special episode, Jaz Gulati is joined by Dr. Liz Turner and Dr. Meggie Graham—general dentists who have evolved their practice with a deep passion for airway and whole-child health. They walk us through five real patients, including Jaz's own son, to show what airway dentistry looks like in the real world. From growth appliances and myofunctional therapy to inflammation control and ENT collaboration, this episode connects the dots between breathing and behavior, development, and even dental crowding. https://youtu.be/Y6EfufPd98E Watch PDP226 on Youtube Protrusive Dental Pearl: "Don't stay stagnant—keep learning, keep growing, and reinvent yourself every 5–10 years." Think of your dental career in seasons—explore new areas, refine your interests, and let go of what no longer brings you joy. This keeps your passion for dentistry alive and evolving. Need to Read it? Check out the Full Episode Transcript below! Key Takeaways Airway dentistry is a growing field that emphasizes prevention. Understanding airway issues can lead to better health outcomes. Dentists can play a crucial role in optimizing health through airway management. Health optimization is a key focus in modern dentistry. Interdisciplinary collaboration is essential for effective patient care. Functional dentistry addresses the root causes of dental issues. Children's airway health can significantly impact their development. Dentists should feel empowered to make positive changes in their patients' lives. Facial aesthetics can significantly impact self-esteem and health. Nasal breathing is crucial for overall health and well-being. Quality of life can be improved through better patient care. Breastfeeding plays a vital role in a child's development. Addressing sleep issues in children is essential for their growth. Understanding the connection between breathing and systemic health is vital. Highlights of this episode: 02:04  Protrusive Dental Pearl 04:08 Interview with Dr. Liz Turner 06:18 Interview with Dr. Meggie Graham 07:43 Personal Journeys into Airway Dentistry 16:26 ENT Referrals 21:55 Understanding Airway Symptoms and Treatment 26:10 Patient Case Studies and Treatment Approaches 36:46 The Importance of Nasal Breathing 45:30 Pediatric Airway Concerns and Solutions 55:09 Educational Resources and Final Thoughts

WELCOME to Season 5 of the ⁠⁠WE GOT US NOW Podcast⁠⁠ series POWERED by Libra Foundation⁠⁠ HOSTED by ⁠⁠⁠Ebony Underwood⁠⁠For our 7th annual #KeepFamiliesConnected multimedia campaign series that runs from Mother's Day through Father's Day, WE spotlight voices from our community, and uplift our allies working across the field to create a just and equitable society that seeks to keep justice-impacted families connected.  S5| EP4:  J. MARK EDDY ~ Bridging Interdisciplinary Perspectives to Inform Research on the Issue of Children with Incarcerated ParentsDr. J. Mark Eddy is a Senior Scientist and Licensed Psychologist. He is also a professor in the Department of Educational Psychology and the Department of Kinesiology and Health Education within the College of Education at The University of Texas at Austin. As a prevention scientist, he develops and rigorously tests prevention and intervention programs intended to benefit children and families, and particularly those who are living in stressful circumstances.  His recent work centers on the conduct of randomized controlled trials of multimodal interventions in partnership with school systems, the juvenile justice system, the adult corrections system, the child welfare system, and the military, as well as with nonprofits that work with these and related systems. His research has focused on communities in the U.S. and in Central AmericaIn this episode, Dr.Eddy shares insights into his career journey, from his initial inspirations to his fundamental research. He discusses his work developing family-centered interventions and the crucial role of interdisciplinary approaches in shaping research. This conversation highlights Ebony Underwood's collaboration as a co-author of a chapter in the Handbook on Children with Incarcerated Parents: Research, Policy, and Practice, Second Edition, and Dr. Eddy provides important historical context and clarity on the harmful and persistent myth surrounding children with incarcerated parents. This important discussion offers a glimpse into Dr. Eddy's scholarly leadership, personal reflections, and his anticipated future contributions. A very informative episode NOT to be MISSED!FOR MORE INFORMATION, GO TO: ⁠⁠WEGOTUSNOW.org⁠ ⁠|⁠⁠ Instagram⁠⁠ LISTEN to the WE GOT US NOW Podcast on SPOTIFY, ApplePodcasts and all podcasts platforms.#WEGOTUSNOW #Family #Children #ParentsBehindBars#IncarceratedParents #Incarceration#JMarkEddy #Psychology #Science #Research #WellBeing #WeGotUsNowCommunity

What happens when icons in the business and nonprofit worlds strike up a friendship? Tom Morris shares how Jim Collins' “Good to Great” principles helped reframe the purpose of his nonprofit, revitalize fundraising, and spark a culture of renewal — and not just for organizations, but for individuals, too. Apply “greatness practices” to your situation to sharpen vision and clarify what success looks like. Links and notes related to this episode can be found at https://mpetersonmusic.com/podcast/episode210 Connect with us: Newsletter: https://mpetersonmusic.com/subscribe Facebook: https://www.facebook.com/EnhanceLifeMusic/ Instagram: https://www.instagram.com/enhancelifemusic/ LinkedIn: https://www.linkedin.com/in/mpetersonpiano/ Twitter: https://twitter.com/musicenhances Sponsorship information: https://mpetersonmusic.com/podcast/sponsor Leave us a review on Podchaser.com! https://www.podchaser.com/podcasts/enhance-life-with-music-909096 In-episode promo: JAMBAR https://jambar.com/ 

151 Interdisciplinary Insights on Aging and Advocacy with Dr. Jacob Kendall In this episode of Hospice Explained, host Marie Betcher RN interviews Dr. Jacob Kendall, a meta gerontologist with a rich interdisciplinary background in biology, social work, public health, and theology. Dr. Kendall shares his personal journey through two open-heart surgeries and how his experiences shaped his career in health advocacy. They discuss the importance of self-advocacy in healthcare, the challenges of navigating the medical system, and the cultural issues surrounding aging and end-of-life care. Dr. Kendall also provides insights into his work on patient and caregiver support, and the need for broader discussions on mortality. Learn about practical strategies for self-advocacy, the significance of inter-disciplinary approaches in gerontology, and more. 00:00 Introduction and Disclaimer 00:29 Meet Your Host: Marie Betcher RN 00:45 Cloud 9 Care System Partnership 01:36 Interview with Dr. Jacob Kendall 02:57 Dr. Jacob Kendall's Background and Expertise 03:54 Personal Health Challenges and Advocacy 07:25 Navigating the Healthcare System 10:48 The Importance of Self-Advocacy 17:58 End-of-Life Planning and Family Conversations 25:39 Cultural Perspectives on Aging and Death 31:41 Conclusion and Contact Information Jacob@JacobEvansKendall.com https://www.jacobevanskendall.com/ Hospice Explained Affiliates & Contact Information Buying from these Affilite links will help support this Podcast.  Maire introduces a partnership with Suzanne Mayer RN inventor of the  cloud9caresystem.com,  When patients remain in the same position for extended periods, they are at high risk of developing pressure injuries, commonly known as bedsores. One of the biggest challenges caregivers face is the tendency for pillows and repositioning inserts to easily dislodge during care.(Suzanne is a former guest on Episode #119) When you order with Cloud 9 care system, please tell them you heard about them from Hospice Explained.(Thank You)  If you would, you can donate to help support Hospice Explained at the Buy me a Coffee link  https://www.buymeacoffee.com/Hospice Marie's Contact Marie@HospiceExplained.com www.HospiceExplained.com   Finding a Hospice Agency 1. You can use Medicare.gov to help find a hospice agency, 2. choose Find provider 3. Choose Hospice 4. then add your zip code This should be a list of Hospice Agencies local to you or your loved one.

What are the advantages and limitations of organic materials, inorganic materials, or hybrid materials that combine both? How do the properties of these different materials influence their applications in academia and industry? On this exciting episode of Let's Talk Chemistry edited by David Alvia, hosts Erin Suh, Aanya Santosh, and Elizabeth Li delve deeper into these questions and more with Dr. Seth Marder, Professor of Chemical and Biological Engineering and Director of the Renewable and Sustainable Energy Institute at the University of Colorado Boulder. Dr. Marder shares his work on characterizing the optical and electrical properties of chiral materials, as well as some valuable insights on collaboration and creativity. We hope you enjoy!

Join Professor Herve Bachelez and Professors Iain McInnes and Tim Orchard as they discuss the recent webinar hosted on the IMID Forum: “Advancing Patient Care Through an Interdisciplinary Approach to IMIDs”. Watch them discuss key highlights from the webinar including the clinical pathogenetic pathways, the Rheum-Derm-Gastro triggers and its implications, and interdisciplinary management in IBD and psoriasis.

The post Sam Arbesman on the magic of code, tools for thought, interdisciplinary ideas, and latent spaces (AC Ep5) appeared first on Humans + AI.

Send us a textDr. Nate Crider joins us to discuss his approach to prosthetic care through telemedicine, where he bridges the gap between prosthetists, patients, and insurance requirements. As a PM&R specialist, he has expanded to 14 states in just three years, improving outcomes by bringing medical expertise directly to prosthetic clinics.• Telemedicine solves mobility challenges for amputees while improving communication between medical and prosthetic providers• Insurance documentation requires specific medical necessity language that many primary care providers don't understand• Collaborative appointments with patients and prosthetists ensure accurate assessment of functional needs and appropriate technology selection• Technology advancements including osseointegration, pattern recognition for upper extremities, and K2 microprocessor knees are changing patient options• Proper socket fit, liner replacement, and supply management significantly impact patient comfort and functional outcomes• Interdisciplinary approaches with surgeons, PM&R specialists, and prosthetists lead to better amputee care from surgery through rehabilitation• Small and large prosthetic practices benefit from specialized medical documentation support that reduces denial risksFor more information about Dr. Crider's telemedicine services, connect with him on LinkedIn or contact Madrina company, which operates in 46 states.A special thanks to Advanced 3D for sponsoring this episode.Support the show

Just five minutes. That's all it takes for junk food ads to tip the scales for young children. That's according to research in the UK, which suggests that even watching a couple minutes of junk food advertising will lead to significantly more calories eaten in a day.If that is the case, should we crack down harder on junk food marketing in Ireland?Orla Walsh, Dietitian at Orla Walsh Nutrition and Mimi Tatlow Golden, Professor of Interdisciplinary studies in Childhood and Youth at the Open University join Kieran to discuss.

Interdisciplinary artist Derek Fordjour is one of Trevor's Favorite People. The two discuss creating art, African diaspora, and assigning value within society. Above all else, they agree humans need storytelling. Learn more about your ad choices. Visit podcastchoices.com/adchoices

You've probably admired one of Ky Vassor's murals without even knowing it—now she's back to pull back the curtain on how those vibrant public artworks, pop-up workshops, and neighborhood installations all began with a passion for community and a sprinkle of hustle.In this episode, Baltimore's interdisciplinary artist and Galerie Myrtis Assistant Director walks us through the unlikely lessons she learned bartending, volunteering, and designing street-team campaigns before deciding to earn an MFA in Community Arts—and how every step shaped her mission to make creativity part of daily life.From bartending and street‐team hustle to graduate studies: the unconventional path that led her to an MFA in Community ArtsCommunity‐first curation: activating public murals, mixed-media installations, and pop-up workshops in everyday spacesMentorship in action: building support networks for emerging artists through hands-on teaching and one-on-one studio visitsWearing multiple hats: balancing roles as artist, educator, and museum administrator for sustainable impactHonoring untold stories: creating works that uplift underrepresented voices and spark neighborhood prideWhat's next: upcoming public art commissions and expanded educational programs designed to broaden Baltimore's creative ecosystemCatch Ky Vassor's first appearance on the podcast here: Whether you're an artist, educator, or simply curious about the power of public art, this chat will leave you inspired to look at your own neighborhood in a whole new light. 

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

In this episode Gudrun speaks with Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. Since August 2024, Nadja has been professor at KIT leading the research group Methods for Big Data (MBD) there. She is an Emmy Noether Research Group Leader, and a member of AcademiaNet, and Die Junge Akademie, among others. In 2025, Nadja was awarded the Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award (ELA). The COPSS ELA recognizes early career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. She finished her doctoral studies in Mathematics at the Universität Göttingen before conducting a postdoc at the University of Melbourne as a Feodor-Lynen fellow by the Alexander von Humboldt Foundation. Afterwards she was a Professor for Statistics and Data Science at the Humboldt-Universität zu Berlin before joining KIT. Moussa joined Nadja's lab as an associated member in 2023 and later as a postdoctoral researcher in 2024. He pursued a PhD at the TU Berlin while working as an AI Research Scientist at the Continental AI Lab in Berlin. His research primarily focuses on deep learning, developing uncertainty-based automated labeling methods for 2D object detection in autonomous driving. Prior to this, Moussa earned his M.Sc. in Mechatronics Engineering from the TU Darmstadt in 2021. The research of Nadja and Moussa is at the intersection of statistics and machine learning. In Nadja's MBD Lab the research spans theoretical analysis, method development and real-world applications. One of their key focuses is Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights to the “black boxes” of machine learning. By fusing the precision and reliability of Bayesian statistics with the adaptability of machine and deep learning, these methods aim to leverage the best of both worlds. The KIT offers a strong research environment, making it an ideal place to continue their work. They bring new expertise that can be leveraged in various applications and on the other hand Helmholtz offers a great platform in that respect to explore new application areas. For example Moussa decided to join the group at KIT as part of the Helmholtz Pilot Program Core-Informatics at KIT (KiKIT), which is an initiative focused on advancing fundamental research in informatics within the Helmholtz Association. Vision models typically depend on large volumes of labeled data, but collecting and labeling this data is both expensive and prone to errors. During his PhD, his research centered on data-efficient learning using uncertainty-based automated labeling techniques. That means estimating and using the uncertainty of models to select the helpful data samples to train the models to label the rest themselves. Now, within KiKIT, his work has evolved to include knowledge-based approaches in multi-task models, eg. detection and depth estimation — with the broader goal of enabling the development and deployment of reliable, accurate vision systems in real-world applications. Statistics and data science are fascinating fields, offering a wide variety of methods and applications that constantly lead to new insights. Within this domain, Bayesian methods are especially compelling, as they enable the quantification of uncertainty and the incorporation of prior knowledge. These capabilities contribute to making machine learning models more data-efficient, interpretable, and robust, which are essential qualities in safety-critical domains such as autonomous driving and personalized medicine. Nadja is also enthusiastic about the interdisciplinarity of the subject — repeatedly changing the focus from mathematics to economics to statistics to computer science. The combination of theoretical fundamentals and practical applications makes statistics an agile and important field of research in data science. From a deep learning perspective, the focus is on making models both more efficient and more reliable when dealing with large-scale data and complex dependencies. One way to do this is by reducing the need for extensive labeled data. They also work on developing self-aware models that can recognize when they're unsure and even reject their own predictions when necessary. Additionally, they explore model pruning techniques to improve computational efficiency, and specialize in Bayesian deep learning, allowing machine learning models to better handle uncertainty and complex dependencies. Beyond the methods themselves, they also contribute by publishing datasets that help push the development of next-generation, state-of-the-art models. The learning methods are applied across different domains such as object detection, depth estimation, semantic segmentation, and trajectory prediction — especially in the context of autonomous driving and agricultural applications. As deep learning technologies continue to evolve, they're also expanding into new application areas such as medical imaging. Unlike traditional deep learning, Bayesian deep learning provides uncertainty estimates alongside predictions, allowing for more principled decision-making and reducing catastrophic failures in safety-critical application. It has had a growing impact in several real-world domains where uncertainty really matters. Bayesian learning incorporates prior knowledge and updates beliefs as new data comes in, rather than relying purely on data-driven optimization. In healthcare, for example, Bayesian models help quantify uncertainty in medical diagnoses, which supports more risk-aware treatment decisions and can ultimately lead to better patient outcomes. In autonomous vehicles, Bayesian models play a key role in improving safety. By recognizing when the system is uncertain, they help capture edge cases more effectively, reduce false positives and negatives in object detection, and navigate complex, dynamic environments — like bad weather or unexpected road conditions — more reliably. In finance, Bayesian deep learning enhances both risk assessment and fraud detection by allowing the system to assess how confident it is in its predictions. That added layer of information supports more informed decision-making and helps reduce costly errors. Across all these areas, the key advantage is the ability to move beyond just accuracy and incorporate trust and reliability into AI systems. Bayesian methods are traditionally more expensive, but modern approximations (e.g., variational inference or last layer inference) make them feasible. Computational costs depend on the problem — sometimes Bayesian models require fewer data points to achieve better performance. The trade-off is between interpretability and computational efficiency, but hardware improvements are helping bridge this gap. Their research on uncertainty-based automated labeling is designed to make models not just safer and more reliable, but also more efficient. By reducing the need for extensive manual labeling, one improves the overall quality of the dataset while cutting down on human effort and potential labeling errors. Importantly, by selecting informative samples, the model learns from better data — which means it can reach higher performance with fewer training examples. This leads to faster training and better generalization without sacrificing accuracy. They also focus on developing lightweight uncertainty estimation techniques that are computationally efficient, so these benefits don't come with heavy resource demands. In short, this approach helps build models that are more robust, more adaptive to new data, and significantly more efficient to train and deploy — which is critical for real-world systems where both accuracy and speed matter. Statisticians and deep learning researchers often use distinct methodologies, vocabulary and frameworks, making communication and collaboration challenging. Unfortunately, there is a lack of Interdisciplinary education: Traditional academic programs rarely integrate both fields. It is necessary to foster joint programs, workshops, and cross-disciplinary training can help bridge this gap. From Moussa's experience coming through an industrial PhD, he has seen how many industry settings tend to prioritize short-term gains — favoring quick wins in deep learning over deeper, more fundamental improvements. To overcome this, we need to build long-term research partnerships between academia and industry — ones that allow for foundational work to evolve alongside practical applications. That kind of collaboration can drive more sustainable, impactful innovation in the long run, something we do at methods for big data. Looking ahead, one of the major directions for deep learning in the next five to ten years is the shift toward trustworthy AI. We're already seeing growing attention on making models more explainable, fair, and robust — especially as AI systems are being deployed in critical areas like healthcare, mobility, and finance. The group also expect to see more hybrid models — combining deep learning with Bayesian methods, physics-based models, or symbolic reasoning. These approaches can help bridge the gap between raw performance and interpretability, and often lead to more data-efficient solutions. Another big trend is the rise of uncertainty-aware AI. As AI moves into more high-risk, real-world applications, it becomes essential that systems understand and communicate their own confidence. This is where uncertainty modeling will play a key role — helping to make AI not just more powerful, but also more safe and reliable. The lecture "Advanced Bayesian Data Analysis" covers fundamental concepts in Bayesian statistics, including parametric and non-parametric regression, computational techniques such as MCMC and variational inference, and Bayesian priors for handling high-dimensional data. Additionally, the lecturers offer a Research Seminar on Selected Topics in Statistical Learning and Data Science. The workgroup offers a variety of Master's thesis topics at the intersection of statistics and deep learning, focusing on Bayesian modeling, uncertainty quantification, and high-dimensional methods. Current topics include predictive information criteria for Bayesian models and uncertainty quantification in deep learning. Topics span theoretical, methodological, computational and applied projects. Students interested in rigorous theoretical and applied research are encouraged to explore our available projects and contact us for further details. The general advice of Nadja and Moussa for everybody interested to enter the field is: "Develop a strong foundation in statistical and mathematical principles, rather than focusing solely on the latest trends. Gain expertise in both theory and practical applications, as real-world impact requires a balance of both. Be open to interdisciplinary collaboration. Some of the most exciting and meaningful innovations happen at the intersection of fields — whether that's statistics and deep learning, or AI and domain-specific areas like medicine or mobility. So don't be afraid to step outside your comfort zone, ask questions across disciplines, and look for ways to connect different perspectives. That's often where real breakthroughs happen. With every new challenge comes an opportunity to innovate, and that's what keeps this work exciting. We're always pushing for more robust, efficient, and trustworthy AI. And we're also growing — so if you're a motivated researcher interested in this space, we'd love to hear from you." Literature and further information Webpage of the group G. Nuti, Lluis A.J. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arxiv Jan 2019 Wikipedia: Expected value of sample information C. Howson & P. Urbach: Scientific Reasoning: The Bayesian Approach (3rd ed.). Open Court Publishing Company. ISBN 978-0-8126-9578-6, 2005. A.Gelman e.a.: Bayesian Data Analysis Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5, 2013. Yu, Angela: Introduction to Bayesian Decision Theory cogsci.ucsd.edu, 2013. Devin Soni: Introduction to Bayesian Networks, 2015. G. Nuti, L. Rugama, A.-I. Cross: Efficient Bayesian Decision Tree Algorithm, arXiv:1901.03214 stat.ML, 2019. M. Carlan, T. Kneib and N. Klein: Bayesian conditional transformation models, Journal of the American Statistical Association, 119(546):1360-1373, 2024. N. Klein: Distributional regression for data analysis , Annual Review of Statistics and Its Application, 11:321-346, 2024 C.Hoffmann and N.Klein: Marginally calibrated response distributions for end-to-end learning in autonomous driving, Annals of Applied Statistics, 17(2):1740-1763, 2023 Kassem Sbeyti, M., Karg, M., Wirth, C., Klein, N., & Albayrak, S. (2024, September). Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. In Uncertainty in Artificial Intelligence (pp. 1890-1900). PMLR. M. K. Sbeyti, N. Klein, A. Nowzad, F. Sivrikaya and S. Albayrak: Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection pdf. To appear in Transactions on Machine Learning Research, 2025 Podcasts Learning, Teaching, and Building in the Age of AI Ep 42 of Vanishing Gradient, Jan 2025. O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im Modellansatz Podcast, Folge 193, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2019.

Helping a patient with chronic pain can overwhelm even the most eager residents. Stephen K. Stacey, DO, introduces a transformative approach to whole-patient pain management which partners his osteopathic roots and military background. Dr Stacey guides listeners through the MAGIC model: Multimodal, Active, Goal-based, Interdisciplinary, and Comprehensive care, empowering residents to engage their patients in meaningful, multifaceted treatment. Faculty will gain insights into how teaching MAGIC reshapes resident attitudes, enhances clinical confidence, and creates deeper, more effective interactions with chronic pain patients.Hosted by Omari A. Hodge, MD, FAAFP and Jay-Sheree Allen Akambase, MDCopyright © Society of Teachers of Family Medicine, 2025Resources:An Interprofessional Approach to Chronic Pain Management and Education - Fam Med.Improving Chronic Pain Management in a Family Medicine Residency - Fam Med.Stephen K. Stacey, DO:Dr. Stephen Stacey is the Director of Osteopathic Education for the Mayo Clinic Family Medicine Residency in La Crosse, where he is dedicated to training future physicians in comprehensive, whole-person care. As a skilled osteopathic physician, he specializes in osteopathic manual medicine and holistic treatment for chronic pain, helping patients of all ages achieve better health and overcome barriers to an active lifestyle. Before joining Mayo Clinic, Dr. Stacey served as a battalion and flight surgeon in the U.S. Army. During his service, he deployed to Poland and Ukraine, where he played a vital role in training NATO allies in battlefield trauma care. His military experience has reinforced his deep commitment to patient-centered, hands-on medicine. Outside of his medical practice, Dr. Stacey is an avid outdoor enthusiast who enjoys trail running, mountain biking, and cross-country skiing. Most importantly, he loves spending quality time with his wife and five children. Dr. Stacey attended Kirksville College of Osteopathic Medicine and completed his residency at Family Medicine, Peak Vista Community Health Centers.Link:www.stfm.org/stfmpodcast052025 

Episode #68 with Chad Olsen and Mark Nuttal

Samantha Saldana is a lens-based interdisciplinary artist whose scholarship explores community social justice issues, identity, family relationships, and intersectionality. Saldana is a graduate of the Visual and Public Art Department at California State University, Monterey Bay, and is currently an MFA candidate in the Photography Program at San Jose State University. Saldana's work engages accessibility to arts education, advocacy, and mentorship opportunities.Follow Samantha's worksamantha-saldana.com Instagram: s.a.m.831

When Michelle Dezember moved to St. Louis five years ago, she assumed that the region would have a significant affinity with the Missouri and Mississippi Rivers, the two longest rivers in the U.S. She soon realized that many residents don't engage with them at all despite their cultural and historical relevance. Dezember — who serves as the Director of Learning and Engagement at the Contemporary Art Museum (CAM) — is the co-curator of “Make the River Present,” an exhibit at CAM that explores the relationship between Black Americans, and Native Americans, with the Missouri and Mississippi Rivers. Interdisciplinary artist Dail Chambers and writer Galen Gritts joined Dezember to share about their art and experiences with these rivers, too.

In this episode of Mavericks in Healthcare, hosts Ajay Mody and Asher Perzigian sit down with trailblazing leader Beth Dolan, Dean of the College of Health at Lehigh University. Beth isn't just rethinking healthcare education—she's turning it on its head. From championing interdisciplinary learning to weaving data science into the fabric of public health, Beth shares how Lehigh is preparing students to tackle today's most urgent health challenges. Discover how the College's bold initiatives—like its cutting-edge Population Health program and hands-on community-based research—are shaping a new kind of health professional. Plus, Beth opens up about the critical role of mental health in academia and what it really means to build a truly supportive student experience. If you're curious about the future of healthcare, education, and innovation, this conversation is a must-listen. Beth Dolan is on a mission—and she's inviting the next generation to lead the way.

In this engaging conversation, Dr. Huntley interviews Dr. Deanna Wathington, a prominent public health practitioner and president of the American Public Health Association. They discuss Dr. Wathington's unique journey into public health, her focus on maternal and infant health, and her commitment to health equity. The conversation highlights the importance of community health workers, resilience in the public health sector, and the need for continued education and advocacy in the field. Dr. Wathington shares her insights on the interconnectedness of public health disciplines and encourages listeners to engage with the American Public Health Association for networking and professional development.   Resources   ▶️ Visit the PHEC Podcast Show Notes: https://PHECPodcast.com/   ▶️ Grab Your FREE PHEC Podcast eBook: https://mypublichealthcareer.com/   ▶️ DrCHHuntley, Public Health & Epidemiology Consulting: https://www.drchhuntley.com/consulting   ▶️ Resources for Public Health Entrepreneurs https://publichealthentrepreneurs.com/

Bob covers John 2: 13-25, where Jesus drives out the animals and moneychangers from the temple in Jerusalem at the start of His public ministry.Mentioned in the Episode and Other Links of Interest:RC Sproul on cleansing of the temple. John MacArthur on it.The previous episode in this series, i.e. BMS ep. 374, Installment 8: Turning Water Into Wine.Help support the Bob Murphy Show.

In this episode of The Disrupting Dentistry Podcast, Melissa (USA) and Tabitha (Australia) dive into communication's critical role in improving patient outcomes. From explaining the oral-systemic connection to collaborating with medical professionals, they share actionable strategies to enhance patient engagement and drive whole-body health. You'll learn how patient-centered communication, visual aids, and interdisciplinary collaboration can transform your practice and reduce systemic inflammation. Tune in for practical tips backed by science! What You'll Learn in This Episode: Why effective communication is essential for improving patient compliance and health outcomes Patient-centered communication techniques that enhance understanding and engagement The power of visual aids, including biofilm disclosing and voice-activated periodontal charting How to clearly explain the oral-systemic link to patients The importance of collaborating with other healthcare providers for integrated patient care Link to the episode referneced: The One Where We Talk About Communication Key Takeaways: Use patient-friendly language and open-ended questions to foster better communication. Leverage visual aids and real-time technology to help patients "see" their oral health status. Clearly articulate the connection between oral health and systemic conditions like heart disease and diabetes. Build interdisciplinary relationships to deliver holistic patient care. References Mentioned: Bale, B., & Doneen, A. (2022). Beat the Heart Attack Gene: The Revolutionary Plan to Prevent Heart Disease, Stroke, and Diabetes. Epstein, R. M., et al. (2005). Patient-centered communication and diagnostic testing. Annals of Family Medicine, 3(5), 415-421. Gurenlian, J. R. (2022). Patient-centered care in dental hygiene. Journal of Dental Hygiene, 96(2), 121-127. Ha, J. F., & Longnecker, N. (2010). Doctor-patient communication: A review. Ochsner Journal, 10(1), 38-43. Ide, M., et al. (2016). Periodontitis and pregnancy outcomes. Journal of Clinical Periodontology, 43(6), 524-530. Liccardo, D., et al. (2019). Periodontal disease and systemic inflammation. International Journal of Molecular Sciences, 20(6), 1414. Patel, N., et al. (2015). Real-time patient data and adherence. Journal of the American Medical Informatics Association, 22(1), 74-80. Slack-Smith, L., et al. (2017). Interdisciplinary dental and medical collaboration. Australian Dental Journal, 62(1), 115-121. Slade, G. D., et al. (2020). Oral health and systemic disease links. Australian Dental Journal, 65(1), 58-64. van der Sluijs, E., et al. (2018). Biofilm disclosure and patient compliance. International Journal of Dental Hygiene, 16(3), 297-304. Connect With Us: Listen wherever you get your podcasts If you enjoyed this content, please leave us a review Follow us on Instagram: @DisruptingDentistryPodcast Subscribe and leave a review on your favorite podcast platform. Share this episode with your dental colleagues! Next Episode Teaser: Stay tuned for our next episode, where we explore how to prevent gingivitis by making it "sexy."

The last few years have brought increased writings from activists, artists, scholars, and concerned clinicians that cast a critical and constructive eye on psychiatry, mental health care, and the cultural relations of mental difference. With particular focus on accounts of lived experience and readings that cover issues of epistemic and social injustice in mental health discourse, the Mad Studies Reader: Interdisciplinary Innovations in Mental Health (Routledge, 2024) brings together voices that advance anti-sanist approaches to scholarship, practice, art, and activism in this realm. Beyond offering a theoretical and historical overview of mad studies, this Reader draws on the perspectives, voices, and experiences of artists, mad pride activists, humanities and social science scholars, and critical clinicians to explore the complexity of mental life and mental difference.  Voices from these groups confront and challenge standard approaches to mental difference. They advance new structures of meaning and practice that are inclusive of those who have been systematically subjugated and promote anti-sanist approaches to counter inequalities, prejudices, and discrimination. Confronting modes of psychological oppression and the power of a few to interpret and define difference for so many, the Mad Studies Reader asks the critical question of how these approaches may be reconsidered, resisted, and reclaimed. This collection will be of interest to mental health clinicians; students and scholars of the arts, humanities and social sciences; and anyone who has been affected by mental difference, directly or indirectly, who is curious to explore new perspectives. Bradley Lewis is a psychiatrist and psychotherapist with a background in the arts and humanities. He is Associate Professor at New York University's Gallatin School of Individualized Study and he is on the editorial board of the Journal of Medical Humanities. His books include Moving Beyond Prozac, DSM, and the New Psychiatry: The Birth of Postpsychiatry; Narrative Psychiatry: How Stories Can Shape Clinical Encounters; and Experiencing Epiphanies in Literature, Cinema, and Everyday Life (forthcoming). Alisha Ali is Associate Professor in the Department of Applied Psychology at New York University. Her research focuses on the mental health effects of oppression, including violence, racism, discrimination, and trauma. She is the co-editor of the book Silencing the Self Across Cultures (Oxford University Press) as well as the co-editor of The Crisis of Connection (NYU Press). Jazmine Russell is the co-founder of the Institute for the Development of Human Arts (IDHA), a transformative mental health training institute, and host of Depth Work: A Holistic Mental Health Podcast. She is an interdisciplinary scholar of mad studies, critical psychology, and neuroscience, with experience working both within and outside the mental health system. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

The last few years have brought increased writings from activists, artists, scholars, and concerned clinicians that cast a critical and constructive eye on psychiatry, mental health care, and the cultural relations of mental difference. With particular focus on accounts of lived experience and readings that cover issues of epistemic and social injustice in mental health discourse, the Mad Studies Reader: Interdisciplinary Innovations in Mental Health (Routledge, 2024) brings together voices that advance anti-sanist approaches to scholarship, practice, art, and activism in this realm. Beyond offering a theoretical and historical overview of mad studies, this Reader draws on the perspectives, voices, and experiences of artists, mad pride activists, humanities and social science scholars, and critical clinicians to explore the complexity of mental life and mental difference.  Voices from these groups confront and challenge standard approaches to mental difference. They advance new structures of meaning and practice that are inclusive of those who have been systematically subjugated and promote anti-sanist approaches to counter inequalities, prejudices, and discrimination. Confronting modes of psychological oppression and the power of a few to interpret and define difference for so many, the Mad Studies Reader asks the critical question of how these approaches may be reconsidered, resisted, and reclaimed. This collection will be of interest to mental health clinicians; students and scholars of the arts, humanities and social sciences; and anyone who has been affected by mental difference, directly or indirectly, who is curious to explore new perspectives. Bradley Lewis is a psychiatrist and psychotherapist with a background in the arts and humanities. He is Associate Professor at New York University's Gallatin School of Individualized Study and he is on the editorial board of the Journal of Medical Humanities. His books include Moving Beyond Prozac, DSM, and the New Psychiatry: The Birth of Postpsychiatry; Narrative Psychiatry: How Stories Can Shape Clinical Encounters; and Experiencing Epiphanies in Literature, Cinema, and Everyday Life (forthcoming). Alisha Ali is Associate Professor in the Department of Applied Psychology at New York University. Her research focuses on the mental health effects of oppression, including violence, racism, discrimination, and trauma. She is the co-editor of the book Silencing the Self Across Cultures (Oxford University Press) as well as the co-editor of The Crisis of Connection (NYU Press). Jazmine Russell is the co-founder of the Institute for the Development of Human Arts (IDHA), a transformative mental health training institute, and host of Depth Work: A Holistic Mental Health Podcast. She is an interdisciplinary scholar of mad studies, critical psychology, and neuroscience, with experience working both within and outside the mental health system. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory

The last few years have brought increased writings from activists, artists, scholars, and concerned clinicians that cast a critical and constructive eye on psychiatry, mental health care, and the cultural relations of mental difference. With particular focus on accounts of lived experience and readings that cover issues of epistemic and social injustice in mental health discourse, the Mad Studies Reader: Interdisciplinary Innovations in Mental Health (Routledge, 2024) brings together voices that advance anti-sanist approaches to scholarship, practice, art, and activism in this realm. Beyond offering a theoretical and historical overview of mad studies, this Reader draws on the perspectives, voices, and experiences of artists, mad pride activists, humanities and social science scholars, and critical clinicians to explore the complexity of mental life and mental difference.  Voices from these groups confront and challenge standard approaches to mental difference. They advance new structures of meaning and practice that are inclusive of those who have been systematically subjugated and promote anti-sanist approaches to counter inequalities, prejudices, and discrimination. Confronting modes of psychological oppression and the power of a few to interpret and define difference for so many, the Mad Studies Reader asks the critical question of how these approaches may be reconsidered, resisted, and reclaimed. This collection will be of interest to mental health clinicians; students and scholars of the arts, humanities and social sciences; and anyone who has been affected by mental difference, directly or indirectly, who is curious to explore new perspectives. Bradley Lewis is a psychiatrist and psychotherapist with a background in the arts and humanities. He is Associate Professor at New York University's Gallatin School of Individualized Study and he is on the editorial board of the Journal of Medical Humanities. His books include Moving Beyond Prozac, DSM, and the New Psychiatry: The Birth of Postpsychiatry; Narrative Psychiatry: How Stories Can Shape Clinical Encounters; and Experiencing Epiphanies in Literature, Cinema, and Everyday Life (forthcoming). Alisha Ali is Associate Professor in the Department of Applied Psychology at New York University. Her research focuses on the mental health effects of oppression, including violence, racism, discrimination, and trauma. She is the co-editor of the book Silencing the Self Across Cultures (Oxford University Press) as well as the co-editor of The Crisis of Connection (NYU Press). Jazmine Russell is the co-founder of the Institute for the Development of Human Arts (IDHA), a transformative mental health training institute, and host of Depth Work: A Holistic Mental Health Podcast. She is an interdisciplinary scholar of mad studies, critical psychology, and neuroscience, with experience working both within and outside the mental health system. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/medicine

The last few years have brought increased writings from activists, artists, scholars, and concerned clinicians that cast a critical and constructive eye on psychiatry, mental health care, and the cultural relations of mental difference. With particular focus on accounts of lived experience and readings that cover issues of epistemic and social injustice in mental health discourse, the Mad Studies Reader: Interdisciplinary Innovations in Mental Health (Routledge, 2024) brings together voices that advance anti-sanist approaches to scholarship, practice, art, and activism in this realm. Beyond offering a theoretical and historical overview of mad studies, this Reader draws on the perspectives, voices, and experiences of artists, mad pride activists, humanities and social science scholars, and critical clinicians to explore the complexity of mental life and mental difference.  Voices from these groups confront and challenge standard approaches to mental difference. They advance new structures of meaning and practice that are inclusive of those who have been systematically subjugated and promote anti-sanist approaches to counter inequalities, prejudices, and discrimination. Confronting modes of psychological oppression and the power of a few to interpret and define difference for so many, the Mad Studies Reader asks the critical question of how these approaches may be reconsidered, resisted, and reclaimed. This collection will be of interest to mental health clinicians; students and scholars of the arts, humanities and social sciences; and anyone who has been affected by mental difference, directly or indirectly, who is curious to explore new perspectives. Bradley Lewis is a psychiatrist and psychotherapist with a background in the arts and humanities. He is Associate Professor at New York University's Gallatin School of Individualized Study and he is on the editorial board of the Journal of Medical Humanities. His books include Moving Beyond Prozac, DSM, and the New Psychiatry: The Birth of Postpsychiatry; Narrative Psychiatry: How Stories Can Shape Clinical Encounters; and Experiencing Epiphanies in Literature, Cinema, and Everyday Life (forthcoming). Alisha Ali is Associate Professor in the Department of Applied Psychology at New York University. Her research focuses on the mental health effects of oppression, including violence, racism, discrimination, and trauma. She is the co-editor of the book Silencing the Self Across Cultures (Oxford University Press) as well as the co-editor of The Crisis of Connection (NYU Press). Jazmine Russell is the co-founder of the Institute for the Development of Human Arts (IDHA), a transformative mental health training institute, and host of Depth Work: A Holistic Mental Health Podcast. She is an interdisciplinary scholar of mad studies, critical psychology, and neuroscience, with experience working both within and outside the mental health system. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

The last few years have brought increased writings from activists, artists, scholars, and concerned clinicians that cast a critical and constructive eye on psychiatry, mental health care, and the cultural relations of mental difference. With particular focus on accounts of lived experience and readings that cover issues of epistemic and social injustice in mental health discourse, the Mad Studies Reader: Interdisciplinary Innovations in Mental Health (Routledge, 2024) brings together voices that advance anti-sanist approaches to scholarship, practice, art, and activism in this realm. Beyond offering a theoretical and historical overview of mad studies, this Reader draws on the perspectives, voices, and experiences of artists, mad pride activists, humanities and social science scholars, and critical clinicians to explore the complexity of mental life and mental difference.  Voices from these groups confront and challenge standard approaches to mental difference. They advance new structures of meaning and practice that are inclusive of those who have been systematically subjugated and promote anti-sanist approaches to counter inequalities, prejudices, and discrimination. Confronting modes of psychological oppression and the power of a few to interpret and define difference for so many, the Mad Studies Reader asks the critical question of how these approaches may be reconsidered, resisted, and reclaimed. This collection will be of interest to mental health clinicians; students and scholars of the arts, humanities and social sciences; and anyone who has been affected by mental difference, directly or indirectly, who is curious to explore new perspectives. Bradley Lewis is a psychiatrist and psychotherapist with a background in the arts and humanities. He is Associate Professor at New York University's Gallatin School of Individualized Study and he is on the editorial board of the Journal of Medical Humanities. His books include Moving Beyond Prozac, DSM, and the New Psychiatry: The Birth of Postpsychiatry; Narrative Psychiatry: How Stories Can Shape Clinical Encounters; and Experiencing Epiphanies in Literature, Cinema, and Everyday Life (forthcoming). Alisha Ali is Associate Professor in the Department of Applied Psychology at New York University. Her research focuses on the mental health effects of oppression, including violence, racism, discrimination, and trauma. She is the co-editor of the book Silencing the Self Across Cultures (Oxford University Press) as well as the co-editor of The Crisis of Connection (NYU Press). Jazmine Russell is the co-founder of the Institute for the Development of Human Arts (IDHA), a transformative mental health training institute, and host of Depth Work: A Holistic Mental Health Podcast. She is an interdisciplinary scholar of mad studies, critical psychology, and neuroscience, with experience working both within and outside the mental health system. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of #AgileWay podcast, I have a conversation with one of the speakers of the Agile Prague Conference that is going to be on Sep 15-16, 2025 in Prague, Czech Republic. We talked with Klaus Breyer about interdisciplinary teams, collaboration, and Shape Up.#agile #businessagility #agileleader #leadership #agileprague #confernece #collaboration #teams #ShapeUp

This week, we share Chris and Rachel's Q&A session with Professor Danielle Reed and her students at Midwestern University. They discuss interdisciplinary collaboration, the importance of mindset in AAC implementation, how occupational therapists can work effectively with speech-language pathologists, and more!   Before the interview, Chris and Rachel touch on Chris's experience teaching AAC to pre-service occupational therapy students, emphasizing interdisciplinary collaboration, mindset shifts, and the importance of making communication fun and engaging.   Key Ideas This Week:  

Professor Chamni Sripraram sits down with 3 NIU students to talk about their Summer: “Song for the Blind” trip. Put together by Professor Chamni, the trip was an opportunity for American students to teach music to visually impaired Thai children. The group reflects and laughs about the experience together, discussing what they learned about other cultures, music, and themselves. Professor Chamni Sripraram is an adjunct professor teaching “Music of Southeast Asia” and “Music of Thailand” courses and directing the Thai Music Ensemble at NIU.

In this enriching episode of Healthy Mind, Healthy Life, host Sana welcomes the multi-talented Wanako Oberhuber, a mystic, anthropologist, artist, and A Course in Miracles teacher. With a life journey spanning across three countries and a deep passion for interdisciplinary thinking, Wanako shares how creativity, trust, and spirituality intersect to transform our lives. Together, they explore:

In this episode, we (Mark Raffler and Sarah Shoemaker) connect with longtime Kent ISD mentor & author, Kelly Gallagher.  Kelly's latest book:  “To Read Stuff, You Have to Know Stuff:  Helping Students Build and Use Prior Knowldge” is the topic of today's podcast.  "To Read Stuff, You Have to Know Stuff" is not merely a catchy title but a fundamental principle of literacy education. Educators must prioritize building students' prior knowledge, fostering critical thinking skills, and creating a curriculum that reflects multiple, various perspectives and prepares students to engage with the world around them.  In this episode, Kelly Gallagher addresses how his book came about and why “knowing stuff” in a digital world is still important. Here are some highlights from our conversation:Kelly's book emphasizes that reading is as much knowing as decoding.  He suggests that students may struggle with texts not because they can't decode the words, but because they lack the necessary background knowledge to understand the content.To Read Stuff, You Have to Know Stuff addresses prior knowledge, word and sentence level understanding, article level comprehension, and book level comprehension.  Interdisciplinary connections are emphasized.  Gallagher emphasizes the reciprocal relationships of reading and writing."Click and go" reading has created new neurological pathways in the brain, yet it's crucial to develop the ability to sustain attention and thought over longer periods, especially during critical developmental stages."If you don't learn how to think critically while you're in that stage, you lose the ability to think critically the rest of your life."The discussion centers on the crucial role of prior knowledge in adolescent literacy, comprehension, and critical thinking, as well as practical strategies for educators to build this knowledge in their classrooms.Concluding with our normal podcast protocol, we ask for resources for educators to learn more about To Read Stuff, You Have to Know Stuff.  Check out our podcast resource page for all the links!We wrap up this episode by asking listeners to share your thoughts on podcast topics - your voice matters!  Please visit bit.ly/LLCNtopics to tell us what you want future podcasts to focus on in relation to literacy.  All resources in this LLCN Brief (and future podcasts) can be found at:  bit.ly/LLCNresources2425  Subscribe to the Literacy Leadership and Coaches Network podcasts here: https://podcasters.spotify.com/pod/show/llcnbrief or your favorite podcast platform.Please note the audio used as an introduction and in transitions in this podcast is under the Creative Common License and attribution is given as follows:Medicine by WinnieTheMoogLink: https://filmmusic.io/song/6256-medicineLicense: http://creativecommons.org/licenses/by/4.0/

Karen Christman, Sheila Chari, Stella Hurtley, and Robert Stephenson explore academic publishing in stem cell research, focusing on reproducibility, collaboration, and public communication. Editors from top journals discuss curating impactful research, sharing clinical trial data, and addressing challenges in scaling and standardizing therapies. They emphasize bridging silos, advancing precision regenerative medicine, and navigating open access publishing to responsibly propel the field forward. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39940]

Karen Christman, Sheila Chari, Stella Hurtley, and Robert Stephenson explore academic publishing in stem cell research, focusing on reproducibility, collaboration, and public communication. Editors from top journals discuss curating impactful research, sharing clinical trial data, and addressing challenges in scaling and standardizing therapies. They emphasize bridging silos, advancing precision regenerative medicine, and navigating open access publishing to responsibly propel the field forward. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39940]

Karen Christman, Sheila Chari, Stella Hurtley, and Robert Stephenson explore academic publishing in stem cell research, focusing on reproducibility, collaboration, and public communication. Editors from top journals discuss curating impactful research, sharing clinical trial data, and addressing challenges in scaling and standardizing therapies. They emphasize bridging silos, advancing precision regenerative medicine, and navigating open access publishing to responsibly propel the field forward. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39940]

Karen Christman, Sheila Chari, Stella Hurtley, and Robert Stephenson explore academic publishing in stem cell research, focusing on reproducibility, collaboration, and public communication. Editors from top journals discuss curating impactful research, sharing clinical trial data, and addressing challenges in scaling and standardizing therapies. They emphasize bridging silos, advancing precision regenerative medicine, and navigating open access publishing to responsibly propel the field forward. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39940]

Karen Christman, Sheila Chari, Stella Hurtley, and Robert Stephenson explore academic publishing in stem cell research, focusing on reproducibility, collaboration, and public communication. Editors from top journals discuss curating impactful research, sharing clinical trial data, and addressing challenges in scaling and standardizing therapies. They emphasize bridging silos, advancing precision regenerative medicine, and navigating open access publishing to responsibly propel the field forward. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39940]

News items read by Laura Kennedy include: Roots of Indo-European languages revealed by ancient DNA (details) (details) Arabic manuscript contains lost works of the Greek “Great Geometer” Apollonius (details) Changes in North American Indigenous population outlined by radiocarbon-dated artifacts (details) Interdisciplinary team peers inside Mount Vesuvius-damaged scroll (details)

Rehabilitation psychologists help patients with disabilities and chronic health conditions maximize their health and holistic well-being. Casey Azuero, Ph.D., explains these psychologists' unique qualifications and how they function on interdisciplinary teams to address the full context of a patient's recovery. This work includes helping patients navigate emotional challenges, improve coping strategies, and stay engaged in their social lives.

This week, Chris interviews Dr. May Ajuis! Dr. Ajuis is a speech and language therapist with the National Assistive Technology Team in Malta!, She is also involved with the World Health Organization as a member of their Assistive Technology Advisory Group, and serves as a lecturer at the University of Malta. Dr. Ajuis shares about her doctoral work with AAC and her efforts to train teachers and develop AAC resources across Malta!   Before the interview, Chris and Rachel discuss the concept of “best” practices and why, in their opinion, using that phrase in the context of therapy can potentially be confusing, or even a turn off, to others.   Key Ideas this Week:  

In this episode of Confessions of a Higher Ed CMO, Jaime Hunt sits down with Eric Hollenbeck from Washington State University's Carson College of Business to unpack the findings of the 2024 Ethical Marketing Survey. This groundbreaking research highlights public perceptions of ethical practices in marketing, including AI usage, misinformation, and the need for transparency. Together, they discuss actionable strategies for higher education marketers to build trust, address generational differences, and navigate the evolving ethical landscape of marketing in the AI era.Key TakeawaysTransparency is Key: 76% of survey respondents believe organizations should disclose AI usage in marketing. Higher ed institutions should develop clear policies and openly communicate AI's role in their processes.Generational Differences in AI Comfort: Millennials are more comfortable with AI due to its integration into their daily lives. Tailoring messaging about AI benefits based on generational values can improve trust.Ethical Marketing Drives Long-Term Success: Public sentiment favors transparency and ethical practices, making them essential for institutions aiming to build lasting credibility.Media Literacy is a Higher Ed Responsibility: With only 57% of survey respondents confident in identifying misinformation, higher ed institutions have a pivotal role in fostering media literacy among students and the public.Policy Development Matters: Institutions should establish, review, and communicate policies on ethical marketing and AI use to ensure trust and accountability.Episode SummaryWhat is the 2024 Ethical Marketing Survey? Eric Hollenbeck describes the 2024 Ethical Marketing Survey, which surveyed 1,000 Americans to gauge public opinions on AI, misinformation, influencer marketing, and brand ethics. The survey offers key insights into public expectations, revealing that transparency and honesty are critical for maintaining consumer trust.How Should Higher Ed Marketers Approach AI Transparency? One of the standout findings was that 76% of respondents believe organizations should disclose their use of AI in marketing. Eric suggests that higher ed marketers should proactively communicate their AI use, especially for tools like chatbots or AI-generated content. He emphasizes that transparency builds credibility and aligns with the public's call for openness.Jaime and Eric also explore the nuanced question of what AI usage warrants disclosure. They agree that while everyday uses like brainstorming might not require transparency, AI-generated visuals or personalized student experiences should be openly communicated. This distinction ensures ethical practices without overwhelming audiences with unnecessary details.How Can Higher Ed Tailor Messaging Across Generations? The survey highlighted generational differences, with millennials showing greater comfort with AI. Eric notes that marketers should focus on the benefits of AI technologies when crafting messages for each generation. For younger audiences, emphasize how AI improves convenience and responsiveness. For older generations, stress accuracy and reduced human error. This approach ensures messaging resonates with diverse audience segments.What Role Should Higher Ed Play in Media Literacy? Eric shares insights from Washington State University's programs that integrate media literacy education into their curriculum. For example, the WSU Skills and Knowledge Accelerator teaches graduate students marketing and media ethics. Interdisciplinary collaboration across departments amplifies these efforts, helping students and the public navigate misinformation and develop critical thinking skills.Jaime and Eric stress that fostering media literacy isn't just an institutional responsibility—it's essential for preparing students to thrive in an increasingly complex digital world.What Ethical Practices Should Higher Ed Marketers Prioritize? Eric provides several recommendations for marketers to uphold ethical standards:Engage in Transparent Conversations: Clearly disclose AI use in marketing campaigns and communications.Focus on Authentic Storytelling: Highlight genuine student and institutional stories to build trust.Develop and Review Policies: Regularly revisit policies on data privacy, AI use, and ethical marketing to stay aligned with public expectations.Champion Media Literacy: Partner with faculty and academic units to educate students and the public on identifying misinformation.Jaime echoes these points, emphasizing that empathy-driven marketing is key to aligning with audience needs and building lasting trust. - - - -Connect With Our Host:Jaime Hunthttps://www.linkedin.com/in/jaimehunt/https://twitter.com/JaimeHuntIMCAbout The Enrollify Podcast Network:Confessions of a Higher Ed CMO is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Dr. Huntley discusses the importance of leveraging interdisciplinary expertise in public health. She shares actionable steps for professionals to embrace their unique backgrounds, reflect on their insights, and identify opportunities that others may miss. The episode includes reflection questions, action steps for professional development, and emphasizes the significance of networking and knowledge integration.   Resources   ▶️ Visit the PHEC Podcast Show Notes: https://PHECPodcast.com/   ▶️ Grab Your FREE PHEC Podcast eBook: https://mypublichealthcareer.com/   ▶️ DrCHHuntley, Public Health & Epidemiology Consulting: https://www.drchhuntley.com/consulting   ▶️ Resources for Public Health Entrepreneurs https://publichealthentrepreneurs.com/  

Host: Richard Foster-Fletcher, Executive Chair, MKAI.orgGuest: Carl Gombrich, Dean, London Interdisciplinary SchoolGuest Bio:Carl Gombrich is a trailblazer in higher education and a passionate advocate for interdisciplinary learning. As Dean of the London Interdisciplinary School (LIS), Carl is at the forefront of reimagining university education to better equip students for the complexities of the modern world.Prior to joining LIS, Carl was Director of the Arts and Sciences BASc programme at UCL, pioneering innovative approaches to liberal arts education. With a background in mathematics, philosophy, and even opera singing, Carl brings a unique and dynamic perspective to education reform.Explore more about Carl's work on his blog and connect with him on LinkedIn.Episode Title: "The Renaissance of Interdisciplinary Education: A Conversation with Carl Gombrich"Episode Overview:In this episode, we're joined by Carl Gombrich to discuss how interdisciplinary education is redefining the future of higher learning. Carl shares insights from his leadership at the London Interdisciplinary School (LIS), the UK's first university in 50 years to gain degree-awarding powers from its inception. We explore the importance of breadth in education, the challenges of hyper-specialisation, and why rigour and creativity are essential across all disciplines.Carl's vision for education is transformative, making LIS a standout institution that values real-world problem-solving, connection-making, and equipping students with the skills to thrive in a fast-changing knowledge economy. Learn more about the pioneering work happening at LIS by visiting their website.Key Topics of Discussion:Why interdisciplinary education is essential for preparing students to tackle complex, real-world challenges.The role of generalists in fostering innovation and leadership.The cultural and practical shifts needed to adapt education for the knowledge economy.The importance of rigour and creativity in building a robust educational framework.How LIS is setting new standards in higher education with its radical and problem-based learning model.Key 'Takeaway' Ideas:Interdisciplinary education is a powerful tool for bridging gaps between disciplines and fostering innovation.Students equipped with a mix of quantitative and qualitative skills are uniquely prepared to lead in diverse fields.Universities must evolve to remain relevant in an interconnected and AI-driven world.The London Interdisciplinary School (LIS) is revolutionising higher education in the UK with its focus on real-world problem-solving and interdisciplinary learning. By combining academic rigour with creativity and practical application, LIS equips its graduates with the skills and mindset to succeed in a fast-changing world. Whether you're a prospective student, parent, or employer, LIS represents the future of education. Learn more at lis.ac.uk.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-boundless-podcast--4077400/support.

In this episode of The SHEA Podcast, host Dr. Leila Hojat is joined by Dr. Pretti Jaggi and Dr. Emily Spivak to explore the growing intersection of antimicrobial stewardship and sustainability in healthcare. The discussion highlights how stewardship programs can reduce the environmental impact of antibiotic production and use, particularly by addressing pharmaceutical waste. The guests share insights into how optimizing antibiotic use promotes more efficient resource utilization, contributing to a broader sustainability agenda. They emphasize the alignment of combating antibiotic resistance with the goals of sustainable healthcare, underscoring the long-term benefits of this synergy. Interdisciplinary approaches, blending antimicrobial stewardship with environmental science and public health, are highlighted as promising solutions to infectious disease management. The conversation also delves into future innovations in stewardship practices, including advancements in technology and collaboration, which are expected to drive significant progress in sustainable healthcare.

Bob covers John 2: 1-12, the wedding feast at Cana, where Jesus performs His first miracle.Mentioned in the Episode and Other Links of Interest:John MacArthur on turning the water into wine.The previous episode in this series, i.e. BMS ep. 372, Installment 7: the Son of Man.The first two installments (one and two) in the series, giving the framework of Bob's views on miracles and God's sovereignty / human free will.Help support the Bob Murphy Show.

Bob finishes his commentary on the first chapter of John, covering chapter 1 verses 43-50.Mentioned in the Episode and Other Links of Interest:RC Sproul on the Son of God vs. Son of Man titles for Jesus.The previous episode in this series, i.e. BMS ep. 363 Installment 6: Calling the First Disciples.Bob's children's book, The Three Lads and the Lizard King.Help support the Bob Murphy Show.

Dr. Huntley discusses the unique challenges and opportunities faced by interdisciplinary leaders in public health. She emphasizes the importance of leveraging diverse expertise, building trusted support systems, and creating sustainable change in healthcare. The podcast aims to provide actionable insights and foster a community for visionary leaders ready to transform public health through innovation. Resources ▶️ Website https://PublicHealthEntrepreneurs.com ▶️ Grab your copy of: Top 10 Tips For Finding Clients ▶️ Grab your copy of: Top 10 Tips For Getting Started ▶️ Submit a question you'd like us to answer on this podcast here. ▶️ Learn more about the Public Health Entrepreneurs Mastermind group program here.

Bob covers John 1: 32-42, where John the Baptist identifies Jesus as the Son of God, and Jesus calls His first disciples.Mentioned in the Episode and Other Links of Interest:The previous episode in this series, i.e. BMS ep. 339, Installment 5: The Lamb of God.Help support the Bob Murphy Show.