Podcasts about interdisciplinary

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/

In the first episode of Time to Act, host Kelly McConville — Executive Officer of Drama Victoria and PhD candidate at the University of Melbourne — explores how education can be a powerful force for climate justice and sustainability. Kelly is joined by Dr. Jo Raphael and Dr. Peta White, Associate Professors at Deakin University, who share how blending drama and science helps students engage with complex environmental issues. They unpack the difference between sustainability and climate change education, and explain why cross-curricular, action-based learning is key. Hear how drama can support students dealing with climate anxiety and empower them to imagine more hopeful futures.

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]

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]

Have you integrated anti-obesity medication into your cardiovascular (CV) care toolkit? Find out how here.    Credit available for this activity expires: 02/11/26 Earn Credit / Learning Objectives & Disclosures: https://www.medscape.org/viewarticle/1002175?ecd=bdc_podcast_libsyn_mscpedu

Topics and terms such as biosafety, biosecurity, containment, and contamination are things most of us have heard of and think about at some level, but with the pace of molecular biology moving faster than ever, these are topics with implications that are reaching farther than ever. We're joined by Dr. Ryan Burnette and Dr. Lauren Richardson from Merrick and company for this episode, and they're ace communicators that help walk us through the expanding horizon and implications of these topics.This conversation starts on the basic topics, like what biocontainment is and what's needed for each of the four levels of biosafety labs, but it quickly moves beyond, shining a light on the security and containment needs for more than just the organisms. We hear about how the data and methods used to do modern molecular biology, as well as the data generated in the experiments, are equally precious and in need of protection and containment. With public health and safety on the line, and an acknowledgement that the pace of science moves faster than that of policy, we get into the idea of who really owns responsibility for protecting data. Your role might be more important than you know, so don't miss this conversation that will make you pause and think! Subscribe to get future episodes as they drop and if you like what you're hearing we hope you'll share a review or recommend the series to a colleague.  Visit the Invitrogen School of Molecular Biology to access helpful molecular biology resources and educational content, and please share this resource with anyone you know working in molecular biology. For Research Use Only. Not for use in diagnostic procedures.

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.

In this episode, we're joined by Tiff Massey, a boundary-pushing interdisciplinary artist. Starting her career with her first love—metal—Tiff continues to cultivate that relationship while expanding her artistic repertoire. Drawing her inspiration from Black culture, Tiff strives to create pieces that tell stories, ignite conversations, and connect people from all walks of life. She shares her journey as an artist, her philosophy on storytelling through art, and advice for young creatives to stay authentic and persevere.

In episode two of this two-part conversation, interdisciplinary scholars Miranda Belarde-Lewis and Temi Odumosu continue to delve into the possibilities that emerge when arts pedagogy is integrated within the STEM-oriented setting of an information school. Belarde-Lewis and Odumosu describe their practices of teaching, curation, and research while discussing insights, methods, and core skills they have developed along the way. Together, they highlight why it's important to move beyond the siloed nature of traditional disciplinary boundaries to seek truly polyvocal contexts and collaborations. The conversation is moderated by David Strand. Miranda Belarde-Lewis (Zuni/Tlingit) is an associate professor of North American Indigenous Knowledge at the iSchool and an independent curator. Indigenous knowledge systems are central to her work as she examines the role of social media and the arts in protecting, documenting and perpetuating Native information and knowledge. Her work highlights and celebrates Native artists, their processes, and the exquisite pieces they create. She has worked with tribal, city, state and federal museums to create Native-focused educational programming, publications and art exhibitions. Belarde-Lewis holds a B.A. in Cultural Anthropology from the University of Arizona, an M.A. in Museology and Ph.D. in Information Science from the University of Washington. Temi Odumosu is assistant professor at the UW Information School and an independent curator and cultural heritage consultant. Drawing on her training in art history and international teaching experience in media, visual communication, and cultural studies, she takes a creative approach to mentoring information professionals. For over two decades she has been interrogating the visual politics and legacies of colonialism, activating collections as sites of memory and conscience, and collaborating with contemporary artists, designers, and curators to communicate unfinished histories more sensitively. Her current research and curatorial work centers wellbeing, considers the ethics of digitization in the age of AI and big data, and engages Black archival histories and possible futures. Odumosu is author of the award-winning book Africans in English Caricature 1769-1819: Black Jokes White Humour (2017). She holds both a Ph.D. and MPhil in Art History from the University of Cambridge (King's College). David Strand is an editor, curator, and emerging informational professional pursuing his M.A. in Library & Information Science at the University of Washington. He currently works as the graduate research assistant for the Center for Advances in Libraries, Museums, and Archives (CALMA) at the University of Washington Information School. Strand has over a decade of experience working in the arts and museums. He previously worked at the Frye Art Museum as associate curator and prior to that as the manager of exhibitions and publications. Strand holds a B.A. in Visual Art and English-Creative Writing from Seattle University.

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.

Today's episode is about new beginnings with practical ways to embrace new beginnings by following your heart to set intentions to align with your truth, love and joy.Key Topics Include:Why following your heart is a key part of setting intentions for new beginnings.Interdisciplinary research showing the power of the heart in influencing emotional processing, decision-making and cognitive function.How spiritual traditions honor the heat as the centre for higher consciousness.Practices to nourish your heart connection.How to tune into your inner wisdom by following your heart.Ways to overcome fear and resistance to nourish the trust in your heart's wisdom. Learn more about retreats, courses, workshops, 1:1 sessions and sign up for my e-newsletter on www.consciousness-medicine.comCheck out the blog associated with this podcast too!If you'd like to donate to this podcast, your gift will be directly applied to production costs! Stay Connected on Social Media:Facebook: www.facebook.com/CentreforConsciousnessMedicineInstagram: www.instagram.com/wellnesswisdomwithjulieLinked In: www.linkedin.com/in/julie-williams-cxmed Production assistance from Podlad.com | Art image by Joma Sipe

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.

In episode one of this two-part conversation, interdisciplinary scholars Miranda Belarde-Lewis and Temi Odumosu delve into the possibilities that emerge when arts pedagogy is integrated within the STEM-oriented setting of an information school. Belarde-Lewis and Odumosu describe their practices of teaching, curation, and research while discussing insights, methods, and core skills they have developed along the way. Together, they highlight why it's important to move beyond the siloed nature of traditional disciplinary boundaries to seek truly polyvocal contexts and collaborations. The conversation is moderated by David Strand. Miranda Belarde-Lewis (Zuni/Tlingit) is an associate professor of North American Indigenous Knowledge at the iSchool and an independent curator. Indigenous knowledge systems are central to her work as she examines the role of social media and the arts in protecting, documenting and perpetuating Native information and knowledge. Her work highlights and celebrates Native artists, their processes, and the exquisite pieces they create. She has worked with tribal, city, state and federal museums to create Native-focused educational programming, publications and art exhibitions. Belarde-Lewis holds a B.A. in Cultural Anthropology from the University of Arizona, an M.A. in Museology and Ph.D. in Information Science from the University of Washington. Temi Odumosu is assistant professor at the UW Information School and an independent curator and cultural heritage consultant. Drawing on her training in art history and international teaching experience in media, visual communication, and cultural studies, she takes a creative approach to mentoring information professionals. For over two decades she has been interrogating the visual politics and legacies of colonialism, activating collections as sites of memory and conscience, and collaborating with contemporary artists, designers, and curators to communicate unfinished histories more sensitively. Her current research and curatorial work centers wellbeing, considers the ethics of digitization in the age of AI and big data, and engages Black archival histories and possible futures. Odumosu is author of the award-winning book Africans in English Caricature 1769-1819: Black Jokes White Humour (2017). She holds both a Ph.D. and MPhil in Art History from the University of Cambridge (King's College). David Strand is an editor, curator, and emerging informational professional pursuing his M.A. in Library & Information Science at the University of Washington. He currently works as the graduate research assistant for the Center for Advances in Libraries, Museums, and Archives (CALMA) at the University of Washington Information School. Strand has over a decade of experience working in the arts and museums. He previously worked at the Frye Art Museum as associate curator and prior to that as the manager of exhibitions and publications. Strand holds a B.A. in Visual Art and English-Creative Writing from Seattle University.

In this episode of the Atlas of Chiropractic podcast, Dr. John Stenberg and Dr. Cameron Bearder engage with Dr. Harrison Vaughan, a physical therapist specializing in cervical dizziness. Resources: Cervical Dizziness on Instagram How to Diagnose Cervical Dizziness Book How to Treat Cervical Dizziness Book Online Courses Takeaways Cervical dizziness is poorly understood in musculoskeletal pain science. Interdisciplinary collaboration is crucial for effective treatment. The neck is often overlooked in physical therapy education. A comprehensive approach considers multiple factors in dizziness. Understanding the optimal sequence in treatment is essential. Single entity diagnoses can be misleading; consider double entity. Differential diagnosis is key to effective treatment. Patient questionnaires are vital for accurate assessment. Education on the neck's role in dizziness is lacking. Healthcare providers must be open to various treatment modalities. Clinical diagnosis has evolved significantly over the years. Dizziness is often a diagnosis of exclusion, requiring careful consideration of other conditions. Technology plays a crucial role in enhancing patient care and education. Motion guidance technology helps in analyzing neck movements effectively. Physical therapy practices are evolving to include specialized treatment centers. Patients are becoming more informed and proactive in their healthcare decisions. Understanding cervicogenic dizziness requires a comprehensive approach. The integration of technology can improve treatment outcomes for patients. There is a growing concern about the impact of technology on sensory experiences. Ongoing education and discussion about these topics are essential for future advancements. Cairo is guilty of perpetuating ineffective treatments. Historical context shows a shift in understanding neck pain. Imaging can provide crucial insights into neck issues. Collaboration among PTs, OTs, and chiropractors is essential. SNAG techniques are effective for neck treatment. Understanding the sensory experience of the spine is vital. Listening to patients is key to effective treatment. The future of neck care involves integrated approaches. Specificity in treatment can lead to better outcomes. Continuous learning is crucial for practitioners.

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.

Welcome to an interview with Ed Fidoe, the founder and CEO of the London Interdisciplinary School (LIS), the first institution in decades to be granted degree-awarding powers from inception in the UK and offers an innovative, interdisciplinary curriculum focused on tackling complex global issues such as inequality, sustainability, ethics, and AI. In this episode, Ed shares his journey from child actor to McKinsey consultant to educational innovator. Throughout the conversation, Ed emphasizes the importance of broad intellectual curiosity, the growing impact of AI on education, and the need for future leaders to develop skills beyond traditional academics. His story illustrates how combining consulting expertise with educational vision can drive meaningful change in learning institutions.   Before LIS, Ed co-founded School 21, an acclaimed school designed to nurture children from diverse backgrounds, achieving Outstanding Ofsted within two years. He also founded Voice 21, a leading oracy education charity. Ed's latest endeavour involves expanding the LIS' offering to include a future-proof MBA challenger, alongside the existing undergraduate, master, and leadership programs.   From his early days as a child actor on ‘Woof!', and setting up a theatre production company with Oscar-nominee Matt Charman, to his tenure at McKinsey & Co., Ed's journey exemplifies resilience, innovation, and a relentless pursuit of change. His transformative vision has attracted educators from esteemed institutions worldwide, united by a shared belief in LIS's mission to reshape higher education. Ed's narrative is one of passion, innovation, and purpose, promising to inspire and challenge conversations about the future of learning.   Learn more about Ed here: https://speakonpodcasts.com/ed-fidoe/   Here are some free gifts for you: Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach   McKinsey & BCG winning resume free download: www.firmsconsulting.com/resumepdf   Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

In this episode, Joe interviews 4 members of the Penn Psychedelics Collaborative: Co-Founder, Taylor Andrews Flatt, PMHNP; Associate Director, Victor Pablo Acero, Ph.D.; Professor in Fine Arts and Co-Director of the Weitzman School of Design, Jackie Tileston; and Executive Director and Director of the Penn Program for Mindfulness, Michael Baime, MD. Recorded earlier this month at the PhilaDelic conference – one of the primary initiatives of the PPC – they discuss their paths to psychedelics and why this transdisciplinary collection of faculty, researchers, and clinicians at the University of Pennsylvania was so necessary. Viewing psychedelics from different perspectives (Flatt from nursing, Acero from bioengineering, Tileston from the art and mysticism side of things, and Baime from a more mindfulness point of view), their group is a case study in collaboration – a place where connections can be catalyzed and shared goals can be addressed from different angles. How far can we go when different groups start working together? They discuss: The concept of psychedelics not just being used to treat conditions, but to make us healthier Psychedelic art and the idea of the art itself being psychoactive rather than just representations of trips The work of David Glowacki and bringing about non-ordinary states of consciousness through VR Research into salvia being used to alleviate stroke symptoms How a lack of funding can really create focus and more!  For links, head to the show notes page.