Podcasts about research scientist

Alexandra Darmon est Research Scientist Applied Artificial Intelligence chez Meta dans la Silicon Valley. Elle a passé les sept dernières années dans les équipes Research Science de Meta.Cet épisode est le premier d'une série DataGen consacrée à des leaders et experts Data & IA qui font carrière aux États-Unis.On aborde :

Dr. Donard Dwyer is a Professor of Psychiatry and Behavioral Medicine and Vice Chair for Research at LSU Health Shreveport. With more than 30 years of academic research experience, his work has focused on neuroscience, genetics, motivation, schizophrenia, and the biological mechanisms underlying neuropsychiatric disorders. Before joining LSU Health Shreveport, Dr. Dwyer served as a Research Scientist at the Max Planck Institute in Würzburg, Germany, and as Director of Immunology for a Cambridge biotechnology company. His current research explores the genetic and molecular pathways involved in brain function, motivation, and potential new treatments for neuropsychiatric conditions. In this episode of Asking Why, Dr. Dwyer returns to discuss his latest research after his manuscript, “Suicide Risk Genes,” was accepted for publication in a prestigious medical journal. He shares the inspiration behind the research, the significance of the findings, and what they could mean for the future of neuroscience, suicide prevention, and mental health. Links Research Page (please link in the show notes): http://www.lsuhs.edu/psych-research Instagram: @lsuhs_psychiatry Facebook: LSUHS Psychiatry and Behavioral Medicine   Asking Why with Clint Davis Sponsors: A special thank you to the incredible sponsors of Asking Why with Clint Davis for investing in meaningful conversations that bring hope, healing, and growth to our community.   Wellness by Dr. Natalia — a physician-led integrative and concierge medical practice in Shreveport focused on longevity, regenerative medicine, aesthetics, and whole-person wellness. Learn more at www.LuraguizMD.com   Uprising Addiction Center — helping individuals and families find lasting recovery through compassionate, evidence-based addiction treatment focused on healing the whole person. Learn more at www.UprisingCenter.com   LearningRx Shreveport — empowering children and adults by strengthening cognitive skills needed to learn, focus, read, and succeed with confidence. Learn more at www.LearningRx.com/Shreveport   We're grateful for businesses and organizations that believe in strengthening people, families, and our community.      

Guest host Rob Fai talks to Stephanie Cleland, Assistant Professor in Health Sciences at Simon Fraser University and Research Scientist at the Legacy for Airway Health at the Vancouver Coastal Health Research Institute Learn more about your ad choices. Visit megaphone.fm/adchoices

What are Arctic fish telling us about the dynamics of a system in transition and what does it mean for ecosystems, communities, and the future of the Arctic?Joining the conversation are:Irene Alabia, Assistant Professor, Arctic Research Center, Hokkaido University, JapanKevin J. Hedges, Research Scientist, Arctic Fisheries and Marine Mammal Science Division, Government of CanadaFrancesca Spataro, Senior Researcher, Institute of Polar Sciences, National Research Council of Italy (CNR-ISP)Sara Olsvig, then International Chair of the Inuit Circumpolar CouncilThe Session is moderated by Gian Marco Luna, Head of Research and IRBIM Director, Institute for Marine Biological Resources and Biotechnology, National Research Council of Italy (CNR-IRBIM).This discussion was recorded live at the Arctic Circle Rome Forum — Polar Dialogue, held March 3rd–4th, 2026.Arctic Circle is the largest network of international dialogue and cooperation on the future of the Arctic. It is an open democratic platform with participation from governments, organizations, corporations, universities, think tanks, environmental associations, Indigenous communities, concerned citizens, and others interested in the development of the Arctic and its consequences for the future of the globe. It is a nonprofit and nonpartisan organization.  Learn more about Arctic Circle at www.ArcticCircle.org or contact us at secretariat@arcticcircle.orgTWITTER:@_Arctic_CircleFACEBOOK:The Arctic CircleINSTAGRAM:arctic_circle_org

Ian Mitchell is a research scientist, pharmaceutical consultant, entrepreneur, and founder of Wizard Sciences. His work focuses on longevity, metabolic health, mitochondrial function, stem cells, quantum biology, and advanced wellness technologies. With a background in chemistry and biochemistry, Ian has spent years researching the biological mechanisms behind aging, cognitive performance, recovery, and human optimization. Known for bridging complex science with practical applications, Ian develops innovative solutions designed to support health, performance, and longevity. Through his research, clinical collaborations, and educational work, he explores how sleep, metabolism, hydration, consciousness, and regenerative medicine can help people improve their quality of life and long-term health. SHOWNOTES:

Years after their populations died off kidneyshell mussel are back in Medway Creek. Here's how and why it happened with Dr. Todd Morris, Research Scientist with Fisheries and Oceans Canada.

In this episode of The Select Sires Podcast, Host Ethan Haywood sits down with Dr. Jeffrey Bewley, Executive Director of Genetic Programs and Innovation, and Dr. Jason Graham, Genetic Evaluation and Research Scientist at Holstein Association USA, to discuss the research, producer input, and data analysis behind Holstein Conformation Composite (HCC).Additional resource: https://www.holsteinusa.com/pdf/Holstein_Conformation_Composite.pdf 

Freight companies face increasing pressure to adopt AI, but which technology is actually working on the road? This episode examines critical findings from ground-level freight operations, revealing why Excel remains the dominant tool despite digital transformation efforts, and why data quality, not AI sophistication, remains the biggest bottleneck constraining freight efficiency. Joining tech journalist Jason Del Rey are Dr. Angi Acocella, Research Scientist in the FreightLab at the MIT Center for Transportation and Logistics, and David Gal, Vice President of Product and Engineering for Connected Equipment at Samsara, on a panel held at Samsara Beyond 2026 in Las Vegas. The conversation explores practical solutions shaping the freight industry today, including Bluetooth-enabled tracking labels for high-value shipments and how AI-powered geofencing is improving driver safety without replacing human oversight. From dynamic pricing mechanisms to how forward-thinking carriers are using AI agents to augment driver performance, this episode reveals what freight leaders should actually be investing in and where to be cautious.

Dr. Tamie J. Jovanelly (aka Dr. Jo) is a Professor of Geology and a Research Affiliate at Berry College, Georgia. She received her PhD from Kent State University, her MS from the University of Nebraska, and her BS from the University of Michigan. Over two decades, her research has been broad-scoping and impressive.  She is the sole author of the award-winning and best-selling monograph Iceland: Tectonics, Volcanics, and Glacial Features (Wiley, 2020). In continuation of her investigations in climate change, she received a Research Scientist position on a cruise to the International Territories of Svalbard in 2022. Dr. Jo's forthcoming book Volcanoes: What Everyone Needs to Know (Oxford University Press, July 2026), draws on more than 20 years of global research to provide an accessible exploration of how volcanoes shape our landscapes, climate, cultures, and travel experiences around the globe.With more travelers seeking meaningful, educational, and experience-driven adventures, Dr. Jo offers a unique perspective on why geology is becoming one of travel media's most fascinating emerging subjects. Through her tours and fieldwork, she's seen firsthand how volcanoes, glaciers, tectonic landscapes, and national parks can transform the way people connect with science and the natural world.More great information here:Volcanoes WENKhttps://adventuregeologytours.com http://www.malcolmteasdale.com

Amardeep Parmar from Bae HQ welcomes Somayeh Taheri, CEO & Founder at UrbanChainAmardeep Parmar:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Somayeh Taheri: ⁠Urbanchain.co.uk

Even when caring for similar patient populations, some hospitals have significantly higher Cesarean rates than others, and factors like teamwork, psychological safety, leadership, staffing, and beliefs about childbirth can affect outcomes. In this episode, Dr. Rebecca Dekker talks with family physician and researcher Dr. Emily White VanGompel about how the culture of labor and delivery units can shape decision-making and influence the birth experience for families.   Dr. White VanGompel explains the NTSV (nulliparous, term, singleton, vertex) Cesarean rate, why it is used as a quality measure, how hospitals have successfully reduced unnecessary Cesareans, and what families can look for when choosing a birth setting that supports vaginal birth. Plus, learn about the Labor Culture Survey (LCS), Dr. White VanGompel's research on the impact of the ARRIVE Trial on provider attitudes, and why conversations about reducing Cesarean overuse are important from a public health perspective.   (01:58) Growing up around home birth and discovering differences in birth culture during medical training (09:05) How family medicine influences perspectives on childbirth, postpartum care, and long-term family health (12:46) What NTSV Cesarean rates are and why they are used as a quality measure (16:19) Defining labor and delivery unit culture and how it affects Cesarean decision-making (19:23) Lessons from hospitals that successfully reduced Cesarean rates (23:50) Real-world examples of hospitals that transformed their birth culture and lowered Cesarean rates (29:36) Common attitudes and beliefs associated with higher Cesarean rates (32:32) The Labor Culture Survey (35:44) The ARRIVE Trial, provider attitudes toward induction, and shifting birth culture (43:01) How families can evaluate hospitals and providers when seeking support for vaginal birth (48:24) Midwifery models of care and their potential role in supporting vaginal birth (52:40) How personal birth experiences influence clinician attitudes toward Cesarean and vaginal birth   Resources View the original validation study that explains the creation of the LCS: https://onlinelibrary.wiley.com/doi/abs/10.1111/birt.12406 See how the first statewide use of the LCS found an association between labor culture and hospital-level cesarean rates: https://onlinelibrary.wiley.com/doi/full/10.1111/1475-6773.13123 Deep-dive into this qualitative study about how hospitals that lowered their cesarean rates changed their cultures: SpringerAccess research journals, articles, books and more | Springer Nature Linkarticle/10.1186/s12913-024-12108-3 See how this study used the Labor Culture Survey (LCS) to compare clinician beliefs and attitudes about induction of labor before and after the publication of the ARRIVE Trial: Sciencedirectsciencedirect.com science/article/abs/pii/S0884217522003914   For more information about Evidence Based Birth and a crash course on evidence based care, visit www.ebbirth.com. Follow us on Instagram and YouTube! Ready to learn more? Grab an EBB Podcast Listening Guide or read Dr. Dekker's book, "Babies Are Not Pizzas: They're Born, Not Delivered!" If you want to get involved at EBB, join our Professional membership (scholarship options available) and get on the wait list for our EBB Instructor program. Find an EBB Instructor here, and click here to learn more about the EBB Childbirth Class.

Dr. Amy Cardinal Christianson is Métis and grew up in Treaty 8 territory (northern Alberta, Canada). Her family was nîhithawîwin (Woodland Cree/ “N”) speaking. Her Métis relations are the Cardinal (Peeaysis Band) and Laboucane (Laboucane Settlement) families. She currently lives near Rocky Mountain House in Treaty 6 (central Alberta).  Christianson was formerly a Research Scientist with the Canadian Forest Service (Natural Resources Canada) and an Indigenous Fire Specialist in the National Fire Management Division of Parks Canada. Christianson works with Indigenous Nations across Canada on fire stewardship practices like cultural burning and collaborates with Indigenous peoples from around the world on decolonising land management. She also studies wildfire evacuations and advocates for Indigenous wildland firefighters. She is the co-author of the books, First Nations Wildfire Evacuations: A guide for communities and external agencies, Blazing the Trail: Celebrating Indigenous Fire Stewardship, and Creating a Cultural Burn Pathway. Christianson also cohosts the Good Fire podcast, which looks at Indigenous fire use around the world.  She helped create the Thunderbird Collective and serves on the board of the International Association of Wildland Fire and the international research advisory panel with Natural Hazards Research Australia. Photo credit: Jordan Melograna/Indigenous Leadership Initiative Learn more about your ad choices. Visit megaphone.fm/adchoices

Is it possible to not just slow down, but actually reverse advanced Alzheimer’s disease? In this groundbreaking episode of Caregiver SOS On Air, co-hosts Ron Aaron and Carol Zernial sit down with two visionary researchers from Case Western Reserve University who are challenging decades of medical dogma. Dr. Andrew Pieper, a board-certified psychiatrist and neuroscientist, alongside postdoctoral researcher Dr. Kalyana Chauvi, share the astonishing results of their latest study. Traditionally, Alzheimer’s has been viewed as a chronic, strictly irreversible condition. However, using a class of neuroprotective compounds known as P7C3, their lab has demonstrated that symptomatic, cognitively impaired mice can actually recover their function and clear out brain pathology. Tune in to discover how targeting cellular energy could completely change the future of dementia care and provide long-awaited hope to millions of families and caregivers worldwide. Key Takeaways & Highlights Shifting the Dogma: For decades, the scientific community believed the best we could hope for was slowing down Alzheimer's progression. This new research proves that the brain is dynamically capable of recovering from advanced neurodegenerative states—even after some cell death has occurred. The Power of Cellular Energy: Instead of focusing purely on traditional amyloid plaques and tangles, the P7C3 compound targets the mitochondria. By restoring the brain’s energy levels, the brain is equipped to fight off damage, repair itself, and restore lost memory and learning capabilities. The "Aha" Moment: Dr. Chauvi describes the thrilling moment she witnessed advanced, symptomatic mice successfully navigate the Morris Water Maze test after treatment, behaving just like mice that never had the disease. Looking to the Future: Learn about the next steps for this research, including the formation of Glengarry Brain Health and the timeline for moving these life-changing discoveries into Phase 1 human clinical safety trials. About Dr. Pieper Andrew A. Pieper, MD, PhD, is a board-certified psychiatrist and neuroscientist whose work sits at the intersection of clinical medicine and translational neuroscience. Dr. Pieper earned his MD and PhD degrees from Johns Hopkins University School of Medicine, where his doctoral work in neuroscience under Solomon H. Snyder focused on mechanisms of cell death. He holds the Rebecca E. Barchas University Professorship in Translational Psychiatry and the University Hospitals Morley-Mather Chair of Neuropsychiatry at Case Western Reserve University, where he also directs the Center for Brain Health Medicines at the Harrington Discovery Institute. His laboratory is best known for pioneering the discovery and development of the P7C3 class of neuroprotective compounds. These energy stabilizing molecules have demonstrated the capacity to prevent pathological hallmarks of Alzheimer’s disease in preclinical models and to restore brain resilience such that pathology is reversed and cognitive function is recovered even with advanced neurodegenerative disease. About Dr. Chaubey Dr. Kalyani Chaubey, PhD, completed her Bachelors and Masters degrees in Biological Sciences and Biotechnology, followed by a PhD in Neurotoxicology in India, with her PhD focused on the impact of organophosphorus toxins on the brain. She joined the Pieper lab for her postdoctoral work, focused on Alzheimer’s disease and related forms of neurodegeneration, and is currently a Research Scientist in the lab working with Dr. Andrew Pieper. Her most recent discovery is the phenomenon that restoring and maintaining energy balance in the brain is sufficient to both prevent and reverse Alzheimer’s disease in animal models. This is the first demonstration of the ability to achieve recovery and restore cognitive function in animal models of Alzheimer’s disease has prompted a new way for the field to consider this condition. Hosts Ron Aaron and Carol Zernial, and their guests talk about Caregiving and how to best cope with the stresses associated with it. Learn about "Caregiver SOS" and the "Teleconnection Hotline" programs. Caregiver SOS On Air is a presentation of the WellMed Charitable Foundation. For more resources, tips, and past episodes, visit caregiversos.org or email your questions to radio@wellmed.net.See omnystudio.com/listener for privacy information.

Chime In, Send Us a Text or Voice Message!Know Stroke Podcast Episode 94: Insights into RTM for Stroke Recovery with Clinical Research Experts from Shirley Ryan AbilityLabThis episode explores the evolving field of remote therapeutic monitoring (RTM) in neurological rehabilitation, featuring insights from  two experts at Shirley Ryan Ability Lab. Topics include platform design, clinical integration, policy, and future directions for RTM in stroke and neuro conditions.Our Guests: Dr. Miriam Rafferty PT, DPT, PhD is the Director of Implementation Science and a Research Scientist at the Shirley Ryan AbilityLab. She is an Assistant Professor at Northwestern University's Feinberg School of Medicine in the Departments of Physical Medicine & Rehabilitation and Psychiatry & Behavioral Science. Dr. Rafferty also is an active physical therapist clinician specializing in neurologic physical therapy, with a clinical focus on PD. LinkedIn -  Dr. Kristen Hohl PT, DPT, NCS works as a clinician-researcher at Shirley Ryan AbilityLab. Clinically, she works in a technology implementation role facilitating best practice with thoughtful integration of advanced technologies to achieve the best patient outcomes. Her research work is with the KTEAM Lab, led by Dr. Miriam Rafferty. Her research interests include using implementation science to understand the translation of evidence into clinical practice. LinkedIn -  Topics covered: Differences between RTM and RPM in neuro vs MSKPlatform design tailored for neurological populationsImplementation science and clinical adoption of RTMPolicy and reimbursement challenges for multidisciplinary careResearch findings on wearable technology and behavior changeResources: Shirley Ryan Ability Lab - https://www.sralab.org/Henry Betts Life Center - https://www.sralab.org/lifecenterMentions:David's Book Closure After Stroke https://amzn.to/4wUi2Y5 Support Our Show! Thank you for helping us to continue to make great content. We appreciate your generosity! DRYYP SaunaFind out more about Mike's new business venture, DRYYP Sauna.Order David's Book, Closure After StrokePreorder now on Amazon for Kindle early release July 4th. Paperback and hardcover September 28th!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showShow credits:Music intro credit to Jake Dansereau. Our intro welcome is the voice of Caroline Goggin, a stroke survivor and our first podcast guest! Please listen to her inspiring story on Episode 2 of the podcast.Connect with Us and Share our Show on Social:Website | Linkedin | Twitter | YouTube | Facebook | SubstackKnow Stroke Podcast Disclaimer: Our podcast and media advertising services are for informational purposes only and do not constitute the practice of medical advice, diagnosis or treatment. Get Our Podcast News Updates on Substack 

Europe's latest heatwave is expected to leave behind a staggering human toll. But beyond the immediate crisis, it is raising a broader question: are countries prepared for a world where extreme heat becomes routine? While much of the conversation around climate change focuses on emissions, a parallel challenge is emerging around adaptation. From city design and public health systems to early warning mechanisms and heat action plans, governments are being forced to rethink how they prepare for rising temperatures.In this episode of The Morning Brief, Anirban Chowdhury sits down with Karsten Haustein, a Research Scientist at Leipzig University, and Vishwas Chitale, Chairman of the GHHIN South Asia Heat Health Hub. Together, they discuss the science behind Europe's heatwave, why humidity and warm nights are making heat more dangerous, and what lessons other countries can learn from India's growing experience in managing extreme heat."You can follow Anirban Chowdhury on his social media: X and LinkedinCheck out other interesting episodes like:ET Deep Dive: Swipe Left on Reality,India wants manufacturing at 25% of GDP — will AI in factories help?, Tanay Kothari Wants To Kill The Keyboard, From Doer to Director: The LinkedIn Playbook for the AI Agea, Semaglutide Goes Generic: Big Pharma’s Moat Breaks and much more. Catch the latest episode of ‘The Morning Brief’ on The Economic Times Online, Spotify, Apple Podcasts, JioSaavn, Amazon Music and Youtube. See omnystudio.com/listener for privacy information.

A conversation with Margaret Skinner, Research Professor and Extension Entomologist, and Richard Bamford, Research Scientist, at the University of Vermont about growing and marketing saffron.

When a new AI model drops, it's judged based on a static benchmark grid that doesn't account for how long the model is allowed to think. How then should we measure a model's true capability? OpenAI research scientist Noam Brown returns to talk with Sarah Guo about his latest essay on why the AI industry's traditional benchmark grids are broken, and how large-scale test-time compute is fundamentally changing how models are evaluated. Noam explains how, if properly scaffolded, today's models can reason for weeks or even months on complex tasks. He also discusses real-world implications of test-time compute, from building poker solver bots to disproving legendary math conjectures. Together, they also unpack the large gaps in current AI safety frameworks, explore the bottlenecks for recursive self-improvement, and look ahead at the future of multi-agent collaboration and global knowledge sharing. Read more: Implications of Large-Scale Test-Time Compute Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @polynoamial | @OpenAI Chapters: 00:00 – Cold Open 00:43 – Noam Brown Introduction 01:23 – Why Benchmarks Are Broken 04:19 – Compute Budgets and Projections 05:34 – How Long Should Models Think? 06:47 – Benchmark-Maxxing 08:34 – Using Poker Bots as Evals 11:26 – Safety Evals When Model Capability Scales With Budget  14:41 – Release Cycle vs. Agent Runtime  17:06 – Latent Model Capability  20:59 – Limits on Recursive Self-Improvement 27:09 – Large-Scale Multi-Agent Coordination  29:11 – Competition at the Frontier  31:51 – Breaking the Benchmark Grid Equilibrium  33:29 – Why Benchmarks Should be Evaluated by Cost 36:18 – Conclusion

Waterfowl science is entering a new era — and Ducks Unlimited is right in the middle of it.In this episode, host Dr. Mike Brasher is joined by co‑host Dr. Jerad Henson and guest Dr. Patrick Donnelly, Research Scientist with Ducks Unlimited's Western Region, for a deep dive into how emerging technologies are transforming the way we understand ducks, wetlands, and flyways.Patrick brings decades of experience from the U.S. Fish and Wildlife Service, joint ventures, and academia, and now applies cutting‑edge tools like AI, cloud computing, GPS telemetry, remote sensing, and environmental DNA to answer some of the most important conservation questions at continental scales.In this episode, listeners will hear about:Patrick Donnelly's journey from the Fish & Wildlife Service to Ducks UnlimitedMovement ecology and why scale matters for migratory birdsHow GPS transmitters revolutionized waterfowl researchUsing satellite imagery to map wetlands across 40+ years“Functional wetland loss” and why water matters as much as land protectionThe role of snowpack, hydrology, and climate in western wetlandsDisease risk, botulism, and crowding during molting periodsLinking bird movements, habitat conditions, and timeThe Western Mallard Project and tracking 800 birds across the Pacific FlywaySentinel and Landsat satellites explained in plain languageCloud computing and why conservation can now run at scaleUsing citizen‑science data (eBird) alongside satellite dataNew applications of environmental DNA (yes — duck poop)How AI helps identify patterns humans can't seeTraining the next generation of conservation scientistsWhy this moment feels like a “second revolution” in waterfowl scienceThis episode pulls back the curtain on how Ducks Unlimited is using modern science to maximize conservation return on investment, ensuring that every dollar delivers the greatest benefit for waterfowl now and into the future.Listen now: www.ducks.org/DUPodcastSend feedback: DUPodcast@ducks.orgSPONSORS:Purina Pro Plan: The official performance dog food of Ducks UnlimitedWhether you're a seasoned hunter or just getting started, this episode is packed with valuable insights into the world of waterfowl hunting and conservation.Bird Dog Whiskey and Cocktails:Whether you're winding down with your best friend, or celebrating with your favorite crew, Bird Dog brings award-winning flavor to every moment. Enjoy responsibly.

On this episode of the LPRC CrimeScience Podcast, LPRC Host Tiffany Frison welcomes new LPRC team member Beau Nutter, Research Scientist, for a conversation on the future of real-time intelligence in retail. Beau shares his background, his role at LPRC, and how the fusion of technology signals is helping organizations create smarter, faster, and more informed responses to today's evolving retail challenges.

In this episode of The Dairy Nutrition Blackbelt Podcast, Dr. Renée Petri, Research Scientist at Agriculture and Agri-Food Canada, explains how rumen microbiome dynamics influence dairy cow performance, feed efficiency, and environmental outcomes. She explores diet changes, adaptation periods, and microbiome-informed nutrition strategies to improve milk components and sustainability. Discover how managing microorganisms drives production success. Listen now on all major platforms!"Dietary changes influence microbial populations and nutrient availability, creating ripple effects that impact intake behavior, milk components, and overall production efficiency in dairy systems."Meet the guest: Dr. Renée Petri is a Research Scientist at Agriculture and Agri-Food Canada in Sherbrooke. Her work focuses on dairy rumen and gut microbiome research, including interactions during lactation, sustainability, gut health, and feed management in calves and dairy cattle. She holds a PhD in Ruminant Microbiology from the University of Saskatchewan. Learn more about microbiome-driven nutrition with Dr. Renée Petri on The Dairy Nutrition Blackbelt Podcast. Listen now on all major platforms!Liked this one? Don't stop now — Here's what we think you'll love!What will you learn: (00:00) Highlight(01:52) Introduction(03:23) Microbiome study(04:28) Feed changes(06:26) Adaptation time(08:22) Heritability insights(09:13) Informed nutrition(13:01) Closing thoughtsThe Dairy Nutrition Blackbelt Podcast is trusted and supported by the innovative companies:* Barentz* Fortiva* Adisseo* Vetagro* Kemin- Esmilco Inc.- DietForge- Virtus Nutrition

What if the very buildings, roads, and infrastructure we use every day could store energy and act as massive power sources? In this episode, Damian Stefaniuk, Research Scientist at MIT's Department of Civil and Environmental Engineering and the Concrete Sustainability Hub (CSHub), unveils a revolutionary concept: conductive concrete. Damian's pioneering research explores how concrete can be engineered to conduct electricity and store energy—up to 10 times the capacity of traditional materials—while reducing the carbon footprint of cement production. This breakthrough could transform our infrastructure into smart, energy-storing systems, pushing the boundaries of clean energy solutions and emissions reduction. In this conversation, we dive into: ·       How concrete can be turned into a conductive material for energy storage. ·       The role of carbon-based conductive cement and nanomaterials in this innovation. ·       How infrastructure can contribute to renewable energy storage and clean energy goals. Damian's work promises to reshape the future of sustainable construction and energy storage. Tune in to learn more about how smart concrete could change the way we think about energy and infrastructure. Follow Damian and his work at MIT here! Episode also available on Apple Podcasts: https://apple.co/38oMlMr 

AI swarms are now considered the most dangerous influence weapons ever created, actively fabricating grassroots consensus and corrupting enterprise AI training data through disinformation. Daniel Thilo Schroeder, Research Scientist at SINTEF, and Jonas R. Kunst, Professor at BI Norwegian Business School, co-authored a study with 22 authors published in Science that maps this threat. They explain how AI swarms operate without human oversight, why traditional detection methods fail, and what governments, platforms, and business leaders must do to fight back. This is CXOTalk episode 915.YOU'LL DISCOVER✅ How AI swarms shift from central command to emergent hive behavior with decreasing human oversight✅ Why AI-generated social media messages now pass the Turing test, rendering individual message detection obsolete✅ The persona-centric architecture: how single AI agents coordinate behavior across email, X, Bluesky, and Facebook simultaneously✅ How swarms fabricate synthetic consensus by hijacking human conformist psychology✅ The perverse incentives of social media business models that profit from AI swarm engagement metrics✅ How AI swarms poison LLM training data, causing future models to output manipulated facts as objective reality✅ The proposed Distributed AI Influence Observatory for decentralized threat intelligence sharing✅ Why malicious actors can deploy self-optimizing AI swarms from a bedroom using existing multi-agent frameworks⏱️ TIMESTAMPS0:00 The Shift from Bot Networks to AI Swarms2:00 Why Cheap AI Inference Enables Long-Term Influence Campaigns4:30 Autonomous Coordination and Emergent Hive Behavior7:00 Persona-Centric Agents Across Multiple Platforms8:30 Weaponizing Disinformation to Fabricate Synthetic Consensus14:15 How AI Swarms Corrupt LLM Training Data18:00 Why Individual Message Detection No Longer Works23:00 The Research Frontier: Coordination Pattern Detection27:00 Platform Business Models and Perverse Incentives32:00 Building Defenses: The AI Influence Observatory39:00 Corporate Risks: Fabricated Boycotts and Targeted Harassment46:00 Can It Be Stopped? The Arms Race Democracies Must Join

The Evolution of AI LearningIn this clip, Martin Riedmiller, Research Scientist & Controls Team Lead at Google DeepMind, reflects on groundbreaking AI projects that shaped his journey.From building end-to-end systems that could learn 50+ Atari games

The International Math Olympiad is a yearly competition for students, most of them high school age, who compete to solve six difficult math problems. They're chosen from a pool of math problems submitted by different countries that participate in the competition. The problems that don't make the cut previously have mostly just been lost; there was no one place you could go to find them.But now a team at MIT's Computer Science and Artificial Intelligence Lab has gathered over 30,000 of those problems together in one dataset so both humans and AI models can look through and study them.Marketplace's Stephanie Hughes spoke with Mark Hamilton, a visiting researcher at MIT CSAIL who has been part of the work to gather problems. He's also a Research Scientist at Google's DeepMind laboratory.

The International Math Olympiad is a yearly competition for students, most of them high school age, who compete to solve six difficult math problems. They're chosen from a pool of math problems submitted by different countries that participate in the competition. The problems that don't make the cut previously have mostly just been lost; there was no one place you could go to find them.But now a team at MIT's Computer Science and Artificial Intelligence Lab has gathered over 30,000 of those problems together in one dataset so both humans and AI models can look through and study them.Marketplace's Stephanie Hughes spoke with Mark Hamilton, a visiting researcher at MIT CSAIL who has been part of the work to gather problems. He's also a Research Scientist at Google's DeepMind laboratory.

Guest host Robin Gills talks to Kora DeBeck, Research Scientist with the B.C. Centre on Substance Use and Professor in the School of Public Policy at Simon Fraser University Learn more about your ad choices. Visit megaphone.fm/adchoices

Industrial growth in Louisiana has been good news for jobs, with the construction, chemical, and petroleum industries all benefitting. We break down the new report with Robert Habins, economist and Research Scientist with the Blanco Public Policy Center at the University of Louisiana Lafayette

Joseph Blackman welcomed Kehinde Ojasanya, a research scientist at the University of Vermont and founder of Keloks Technologies, to the podcast where Kehinde described the three essential layers of capability for a research scientist: technical depth, systems thinking, and translational intelligence. Kehinde discussed the critical shift in public works from a reactive to a regenerative model, specifically focusing on wastewater resource recovery to secure US mineral independence and transform waste into valuable agricultural products like fertilizer and clean irrigation water. Key talking points included Kehinde's career journey across Nigeria, South Africa, and the UK, his personal commitment to eliminating microplastics and PFAS from his home, and his leadership philosophy of leveraging mentorship and "first principles" to solve complex global challenges. Give the show a listen and remember to thank your local Public Works Professionals.

Why have saltwater intrusions in the Mississippi River been getting worse? We talk to Tulane researchers Ahmad Khalifa, Research Scientist in the Dept. of River-Coastal Science & Engineering at Tulane's School of Science & Engineering, and Ehab Meselhe, Department Chair of River-Coastal Science and Engineering at Tulane's School of Science and Engineering, about what their new study has found.

What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing. Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT WE COVER ━━━━━━━━━━━━━━━━━━━━━━━━ RITA CASTILLO — VP of Design, Platform & AI The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow. AMRUTHA RAMESH — Visiting Researcher, ServiceNow Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use. ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question. ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS 0:00 Introduction1:30 What Is Agentic AI? — Rita Castillo, VP of AI Design6:00 How Agents Work as a Team10:30 Meet Agent Ada — Amrutha Ramesh, Visiting Researcher16:00 Can You Trust Your AI? — Issam Laradji & Anitha Raghavan21:30 Wrap-Up ━━━━━━━━━━━━━━━━━━━━━━━━ GUESTS ━━━━━━━━━━━━━━━━━━━━━━━━ Rita Castillo — VP, AI Design at ServiceNow Amrutha Ramesh — Visiting Researcher, ServiceNow Issam Laradji — Research Scientist, ServiceNow Anitha Raghavan — Product Manager, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ LEARN MORE ━━━━━━━━━━━━━━━━━━━━━━━━ ServiceNow Agentic AI: https://www.servicenow.com More episodes: Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90 InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work. #AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #PodcastSee omnystudio.com/listener for privacy information.

What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing. Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT WE COVER ━━━━━━━━━━━━━━━━━━━━━━━━ RITA CASTILLO — VP of Design, Platform & AI The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow. AMRUTHA RAMESH — Visiting Researcher, ServiceNow Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use. ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question. ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS 0:00 Introduction1:30 What Is Agentic AI? — Rita Castillo, VP of AI Design6:00 How Agents Work as a Team10:30 Meet Agent Ada — Amrutha Ramesh, Visiting Researcher16:00 Can You Trust Your AI? — Issam Laradji & Anitha Raghavan21:30 Wrap-Up ━━━━━━━━━━━━━━━━━━━━━━━━ GUESTS ━━━━━━━━━━━━━━━━━━━━━━━━ Rita Castillo — VP, AI Design at ServiceNow Amrutha Ramesh — Visiting Researcher, ServiceNow Issam Laradji — Research Scientist, ServiceNow Anitha Raghavan — Product Manager, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ LEARN MORE ━━━━━━━━━━━━━━━━━━━━━━━━ ServiceNow Agentic AI: https://www.servicenow.com More episodes: Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90 InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work. #AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #PodcastSee omnystudio.com/listener for privacy information.

Experts discuss how AI tools can address challenges in the field of criminal justice and how these tools can be used ethically. Guest Biographies Vivian Elliot is the Director of CNA's Center for Justice Research and Innovation. She is an expert in criminal justice and emergency preparedness. She specializes in law enforcement organizational reform; after-action analysis; training and technical assistance; and exercise planning, facilitation and evaluation. L. Cait Kanewske is a Research Scientist in CNA's Center for  Justice Research and Innovation.

Send us Fan MailDr. Melisa Buie is a problem solver, author, and operational excellence leader known for making complex systems work better. Her work spans advanced technologies such as lasers and semiconductor equipment, as well as large-scale global manufacturing and business systems.Melisa's career sits at the intersection of engineering innovation and operational performance. She has held key roles with leading organizations in the semiconductor and photonics industries, including Lam Research, Coherent, Applied Materials, and Advanced Energy. As Global Director for Lean Operational Excellence at Coherent, Inc., a $2B global photonics solutions company, she led initiatives that advanced both engineering performance and enterprise-wide transformation. Earlier in her career, she served as a Member of the Technical Staff and Engineering Manager at Applied Materials and Advanced Energy, and as a Research Scientist with Science Applications International Corporation at the Naval Research Laboratory in Washington, D.C., where she focused on theoretical laser systems.In addition to her industry leadership, Melisa is an author and educator. She wrote Problem Solving for New Engineers: What Every Engineering Manager Wants You to Know in 2017, drawing on her experience bridging industry and academia. She also taught graduate-level courses for nearly a decade at San Jose State University in the Department of Biomedical, Chemical, and Materials Engineering, where she helped develop the next generation of engineering leaders and problem solvers.A Few Quotes From This Episode“If it's safe to fail, then it's safe to learn and grow.” “Experimentation is something that leads to a lot of failure.” “Part of the reason we don't like failing is because of all the emotions that come with it.” “You've got to separate the story you make up about the failure.” Resources Mentioned in This Episode Book: Faceplant: Free Yourself From Failure's Funk by Buie and colleaguesBook: Problem Solving for New Engineers: What Every Engineering Manager Wants You to Know by BuieAbout The International Leadership Association (ILA)The ILA was created in 1999 to bring together professionals interested in studying, practicing, and teaching leadership. About  Scott J. AllenWebsiteWeekly Newsletter: Practical Wisdom for LeadersMy Approach to HostingThe views of my guests do not constitute "truth." Nor do they reflect my personal views in some instances. However, they are views to consider, and I hope they help you clarify your perspective. Nothing can ♻️ Please share with others and follow/subscribe to the podcast!⭐️ Please leave a review on Apple, Spotify, or your platform of choice.➡️ Follow me on LinkedIn for more on leadership, communication, and tech.

Mexican cartels are known for their illegal drug smuggling…but illegal red snapper harvesting? Yep, they do that too. We talk with Kesley Banks, Research Scientist at the Harte Research Institute at Texas A&M University-Corpus Christi, about the cartel's fishy activity.

This week Clint speaks with Dr. Shawn McNeil & Dr. Donard.  In this conversation they explore the latest research and clinical practices in psychiatry, focusing on schizophrenia, genetic testing, early detection, and the impact of AI on mental health.    Dr. Shawn McNeil hosts an Apple podcast, "Addiction Medicine: Beyond the Abstract" Addiction Medicine: Beyond the Abstract - Podcast - Apple Podcasts. A quarterly, interactive addiction journal club was discussed, paired with presentation Dr. McNeil discusses on his podcast. https://podcasts.apple.com/us/podcast/addiction-medicine-beyond-the-abstract/id1806152019   Biography Dr. Shawn McNeil is a physician and researcher at LSU Health Shreveport. He is a Clinical Assistant Professor in the Department of Psychiatry and Behavioral Medicine and serves as Program Director of the Psychiatry Residency Program and Director of Neuroinformatics Research. He is a diplomate of the American Board of Psychiatry & Neurology and is board-certified in General Psychiatry and Child & Adolescent Psychiatry. He completed his Psychiatry residency at LSU Health Shreveport and is a recipient of the Resident Recognition Award from the American Psychiatric Association (APA). He also completed his fellowship in Child & Adolescent Psychiatry at LSU Health, serving as chief resident of the program.   Clinically, Dr. McNeil practices at Louisiana Behavioral Health where he serves as Chief Medical Officer. He also supervises residents at the Ochsner LSU Health Ambulatory Care Center. His primary research is clinical in nature. He is Principal Investigator on a clinical trial (Apathy in Schizophrenia, Intra-Cellular Therapies, Inc.) at the LSU Health Psychiatry Research Clinic which is investigating the use of Lumateperone on motivation in patients with psychotic disorders. He previously worked on the Blüm Autism Study (sponsored by Curemark) and the Tapestry Autism Study (sponsored by Axial Therapeutics). He is also the Director of Clinical Research for the Louisiana Addiction Research Center.   Dr. McNeil serves as President of the Louisiana Psychiatric Medical Association (LPMA). He is on the editorial board of the Journal of Addiction Medicine (JAM) and is host of their podcast "Addiction Medicine: Beyond the Abstract". He is a 2018 recipient of the ASAM's Ruth Fox Memorial Endowment Scholarship. He has also served on the editorial board of the APA's American Journal of Psychiatry Resident's Journal and he has been recognized as a Fellow of the APA.   Dr. McNeil was previously a staff physician at the Overton Brooks VA Medical Center and treated veterans in the Post-Traumatic Stress Disorder Clinic. He continues to proudly serve as a Deputy Coroner of Caddo Parish, Louisiana.     Donard Dwyer, PhD Professor of Psychiatry and Behavioral Medicine   Biography Donard Dwyer received his BS degree in Psychology from Tulane University, a Master's degree in education (MEd) from the University of Rochester and his PhD from the University of Alabama at Birmingham (UAB). In addition, to holding positions as a Research Scientist at the Max-Planck Society laboratories in Würzburg, Germany and Director of Immunology at a Cambridge biotechnology company, Dr. Dwyer has spent 32 years in academic research at UAB and LSU Health Shreveport. He is currently professor of Psychiatry and Pharmacology, Toxicology and Neuroscience at LSU Health Shreveport. In addition, he is Vice-Chair for Research in the Department of Psychiatry.   His research interests range broadly from the evolution of protein ligand-receptor interactions, the electronic properties of amino acids and regulation of glucose transport in neurons to behavioral genetics of motivation and movement in C. elegans and the genetic basis for schizophrenia and neuropsychiatric disorders. He is currently focused on the role of insulin signaling pathways in regulation of motivation in “suicidal” worms and characterization of the genetic architecture of schizophrenia with mathematical approaches. Finally, his laboratory is searching for drugs that produce neuroenhancement in cultured neurons as potential treatments for an array of neuropsychiatric conditions.     Medical Trial: https://www.lsuhs.edu/departments/school-of-medicine/psychiatry-and-behavioral-medicine/research   Chapters 00:00 Introduction to the Podcast and Guests 02:27 Overview of Schizophrenia and Motivation Challenges 04:23 The New Drug Adalumid Teparone and Its Potential 07:50 Understanding Schizophrenia: Causes and Risk Factors 12:04 Genetics of Schizophrenia: Myths and Realities 16:20 Enrolling Patients in Clinical Trials 20:49 Genetic Testing and Personalized Medicine in Psychiatry 25:54 Early Signs of Psychosis in Children 30:50 Supporting Families and Community Resources 40:04 The Role of AI in Future Psychiatry 52:17 AI and the Risks of Artificial Relationships 56:35 Conclusion: Hope and the Future of Mental Health Care

Many farmers assume glyphosate is a reliable tool for weed control with minimal downsides, but Dr. Michael McNeill shows how this herbicide quietly disrupts the very foundation of productive farming—from soil biology to crop health and long-term field resilience. In this eye-opening episode, Dr. McNeill explains the hidden journey of glyphosate through the farm system: how it lingers in manure from treated feed, carries over to contaminate even organic fields, and boosts pathogenic fungi and other disease pressures that hit yields hard. He shares research revealing glyphosate's antibiotic-like effects on soil microbes—shifting the microbial balance, weakening natural disease suppression, and making plants more vulnerable to outbreaks that cost farmers in inputs and lost production. You'll hear about practical, farmer-tested ways to fight back, including using raw sauerkraut juice (loaded with beneficial fermentative microbes like Lactobacillus plantarum) to rapidly break down glyphosate residues in soil and feed crops—potentially slashing contamination by 80-90% in just months and freeing up bound nutrients for better plant uptake. The discussion dives deep into proven regenerative strategies to reclaim fields: strategic cover crops, targeted microbial inoculants, balanced soil nutrition, and other biological practices that naturally crowd out weeds, curb pests and diseases, and rebuild robust soil structure—without leaning on chemicals that create dependency and hidden costs over time. This episode lays bare how over-reliance on glyphosate often leads to nutrient lockups, escalating disease pressure, and rising input needs that eat into profits. But it also delivers real hope: a path to more resilient crops, healthier soils, lower long-term costs, and stronger farm sustainability. Ideal for row-crop farmers, livestock producers, agronomists, and anyone managing land who wants to cut through the noise and explore science-backed ways to reduce chemical dependency while boosting productivity and soil vitality. If you're ready to rethink weed management and invest in farming biologically, this conversation is essential listening. Read the journal article here: https://journals.ashs.org/view/journals/hortsci/59/11/article-p1618.xml About Dr. Michael McNeill: Over the past four decades, Dr. McNeill's focus as an agronomist has been in teaching the agricultural community an understanding of soil and plant nutrition, emphasizing its' importance for animal and human health. His emphasis has been placed on developing farming systems that promote soil and plant health, as well as, conducting on farm research to develop efficient bio-remediation of soil and water contaminated with farm chemicals and fertilizer nutrients. Also, a major focus of his has been to teach farmers methods to evaluate soil health by measuring soil microbial life, water infiltration rates, soil density, soil compaction, soil fertility levels and how to develop corrective measures if problems are discovered. Positions, Scientific Appointments 1983 – Present President of Ag Advisory, Ltd. (an agricultural consulting company) 1971 – 1983 Research Scientist and Manager of a regional corn breeding station located in Algona, Iowa. 1969 – 1971 U.S. Army research pathologist, study of soybean and corn disease epiphytology. 1964 – 1969 Iowa State University, research associate. Contributions to Science: Published papers in the following: Crop Science, Horticulture Science, Egyptian Journal of Genetics, Plant Disease Reporter, Journal of Genetics, Journal of Economic Entomology, Agronomy Journal, Iowa State University Extension Service Bulletins Popular Press articles: Farm Journal, Successful Farming, Farm Industry News, Iowa Farmer Today, Soybean Digest, Furrow

Everyone knows that a big rock wiped out the dinosaurs. But the danger from an asteroid hitting Earth is not limited to ancient history. To deal with this threat, scientists recently ran an experiment to deflect a potential “city killer.” We'll hear the results of that experiment, and about a visit to another asteroid. In the dusty material NASA brought back from the asteroid Bennu, scientists found the chemical building blocks of life, including many of the amino acids that are found in our cells. Could an asteroid have brought the ingredients for life to ancient Earth? In this episode, we look at our paradoxical relationship with the space rocks that taketh way – and may help giveth - life. Guests: Scott Sandford - Astrophysicist and Research Scientist at NASA's Ames Research Center Robin George Andrews - Science journalist, volcanologist, and author of "How to Kill an Asteroid: The Real Science of Planetary Defense" Descripción en español Featuring music by Dewey Dellay and Jun Miyake Big Picture Science is part of the Airwave Media podcast network. Please contact advertising@airwavemedia.com to inquire about advertising on Big Picture Science. You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of the AgNext Podcast, Kim and John are joined by Dr. Juan Vargas a Research Scientist at AgNext. Dr. Vargas discusses two of his recent publications where he measured emissions of animals in both confinement and in grazing systems. About AgNext at Colorado State University: AgNext is a research collaborative at Colorado State University dedicated to advancing the science of sustainable animal agriculture. Founded in 2020, AgNext works across disciplines and departments, leveraging expertise from across the university. Through strong partnerships with producers, industry leaders, and policymakers, AgNext identifies and scales science-based innovations that support animal and ecosystem health, economic viability, and resilient food systems. Learn more at ⁠agnext.colostate.edu⁠⁠. Credits: Host(s): Dr. Kim Stackhouse-Lawson and Dr. John Ritten Guest: Dr. Juan VargasProducer: Erica Giesenhagen Artwork: Julia Giesenhagen Music: “Dusting the Broom” by Tony Petersen (via Artlist)

Dr. Nanyamka Redmond joins guest host Ruthi Hanchett as they explore how everyday adults — parents, teachers, coaches, and neighbors — can become a powerful protective factor in young people's lives by building the kinds of relationships that help youth thrive and navigate risk.Chapters(00:00) - (00:00) - Introduction: Why Relationships Matter More Than Programs (01:02) - Meet Dr. Nanyamka Redmond and the Search Institute (02:48) - What Are Developmental Assets — and Why Do They Work? (09:27) - Defining Developmental Relationships: The Five Elements (14:57) - How Caring Adults Can Protect At-Risk Youth (20:11) - Building a Culture of Belonging in Schools and Communities (30:13) - Resilience Is Relational: What Adults Need to Hear Right Now (32:35) - Supporting Youth Leadership Without Getting Out of the Way (00:00) - Chapter 10 Dr. Nanyamka RedmondDr. Nanyamka Redmond is a Research Scientist at the Search Institute, a nationally recognized organization dedicated to advancing research and practical frameworks that help young people thrive. She holds a PhD in Applied Developmental Psychology from Fuller Theological Seminary and a Master's Degree in Clinical Psychology, Marriage and Family Therapy from Azusa Pacific University. Her work focuses on developmental relationships, youth resilience, and advancing equitable, relationship-centered approaches to youth development and wellbeing. Dr. Redmond specializes in translating developmental science into practical tools for educators, families, youth-serving professionals, and community organizations, emphasizing culturally responsive and strengths-based approaches that center young people's lived experiences. She has also served as Director of School Partnership for Character Lab, co-founded by Angela Duckworth, and is a keynote speaker at the Global Center for Women and Justice's Ensure Justice Conference.Key PointsAn anti-trafficking program can teach warning signs, but it cannot replace a caring adult — if a young person doesn't feel seen, safe, and valued, information alone won't protect them.The Search Institute's 40 Developmental Assets framework identifies a combination of internal strengths and external supports that young people need to thrive, and research consistently shows that the more assets a young person has, the better their outcomes.Developmental relationships go beyond good relationships — they are defined by five specific elements (express care, challenge growth, provide support, share power, and expand possibilities) that research has shown to directly impact positive youth outcomes and reduce risk.For youth who have experienced trauma, relationships have often been transactional or harmful, so the experience of someone who cares without strings attached can be surprising — which is why consistency and small, repeated moments of connection matter more than grand gestures.Belonging is not just a buzzword — when adults work to help every young person feel genuinely seen and valued in the spaces meant for them, it builds the sense of dignity that serves as a foundation for resilience.Sharing power with young people doesn't mean abandoning guidance; it means entering those relationships with a frame that sees adolescence as an age of opportunity rather than a period of storm and stress.Resilience is relational — it is not something young people build alone, but something that grows when multiple caring adults across their ecosystem show up consistently over time.Adults who want to support youth leadership can start with incremental steps: invite young people to co-create the questions, let them lead the conversation, and hold the barriers gently without squashing the vision.ResourcesSearch InstituteThe 40 Developmental Assets FrameworkGlobal Center for Women and JusticeEnding Human Trafficking PodcastAge of Opportunity: Lessons from the New Science of Adolescence by Laurence Steinberg

Recorded live at the Transportation Research Board Annual Meeting, this special episode of Transit Unplugged tackles a big question: Does research actually improve public transportation?Host Paul Comfort is joined by three leaders who are turning studies into real-world results:Art Guzzetti, Vice President, Policy, American Public Transportation Association (APTA)Kate Ko, PhD, Vice President, WSPMichael Walk, Research Scientist, Texas A&M Transportation InstituteTogether they break down how the Transit Cooperative Research Program (TCRP) moves ideas from problem statements to implementation — and why agencies that use research make faster, smarter, and more rider-focused decisions.You'll hear:The Baltimore bus network redesign that started with a research projectHow automation will reshape — not eliminate — the transit workforceNew funding tools like value capture and congestion pricingThe link between operator culture, health, and retentionWhy accessibility, safety, and customer experience are driving the next wave of studiesThis is a behind-the-scenes look at the evidence, data, and collaboration that quietly power better transit for millions of riders.If you work in transit and aren't using this research — you're leaving solutions on the table.CreditsHost and Producer: Paul ComfortExecutive Producer: Julie GatesProducer: Chris O'KeeffeEditor: Patrick EmileAssociate Producer: Cyndi RaskinTransit Unplugged is brought to you by Modaxo — passionate about moving the world's people.Disclaimer: The views and opinions expressed in this program are those of the guests, and do not necessarily reflect the views or positions of Modaxo Inc., its affiliates or subsidiaries, or any entities they represent (“Modaxo”). This production belongs to Modaxo, and may contain information that may be subject to trademark, copyright, or other intellectual property rights and restrictions. This production provides general information, and should not be relied on as legal advice or opinion. Modaxo specifically disclaims all warranties, express or implied, and will not be liable for any losses, claims, or damages arising from the use of this presentation, from any material contained in it, or from any action or decision taken in response to it.

What if concrete could store energy that turned buildings, roads, and infrastructure into massive power banks? In this episode, we're joined by Damian Stefaniuk, Research Scientist at MIT's Department of Civil and Environmental Engineering, the Concrete Sustainability Hub (CSHub), and the Electron-Conductive Cement-based Materials Hub (EC³ Hub). Damian's research explores how concrete can be engineered to conduct electricity and store energy at up to 10x the capacity of traditional materials — while simultaneously reducing the carbon footprint of cement production… Damian is a structural and materials engineering scientist who specializes in the development of sustainable construction materials and structures. His research focuses on science-enabled engineering of cement-based materials, with applications ranging from corrosion-resistant prestressed bridges and carbon-storing pre-cure carbonation to electron-conductive carbon concrete for renewable energy storage.   Dive in now to discover: How concrete can be made into a conductive material. Carbon-based conductive cement and nanomaterials. Infrastructure's role in clean energy and emissions reduction. You can follow along with Damian and his work here!

In this conversation, we explore the foundations of artificial intelligence with Ellie Pavlick, Assistant Professor of Computer Science at Brown University, a Research Scientist at Google Deepmind, and Director of ARIA, an NSF-funded institute examining AI's role in mental health support. Ellie's trajectory—from undergraduate degrees in economics and saxophone performance to pioneering research at the intersection of AI and cognitive science—reflects the kind of interdisciplinary thinking increasingly essential for understanding what these systems are and what they mean for us.Ellie represents a generation of researchers grappling with what she calls a "paradigm shift" in how we understand both artificial and human intelligence. Her work challenges long-held assumptions in cognitive science while refusing to accept easy answers about what AI systems can or cannot do. As she observes, we're witnessing concepts like "intelligence," "meaning," and "understanding" undergo the kind of radical redefinition that historically accompanies major scientific revolutions—where old terms become relics of earlier theories or get repurposed to mean something fundamentally different.Key themes we explore:- The Grounding Question: How Ellie's thinking evolved from believing AI fundamentally lacked meaning without embodied sensory experience to recognizing that grounding itself is a more complex and empirically testable question than either side of the debate typically acknowledges- Symbols Without Symbolism: Her recent collaborative work with Tom Griffiths, Brenden Lake, and others demonstrating that large language models exhibit capabilities previously thought to require explicit symbolic architectures—challenging decades of cognitive science orthodoxy about human cognition- The Measurability Problem: Why AI's apparent success on standardized tests reveals more about the inadequacy of our metrics than the adequacy of the systems, and how education, hiring, and relationships have always resisted quantification in ways we conveniently forget when evaluating AI- Intelligence as Moving Target: Ellie's argument that "intelligence" functions as a placeholder term for "the thing we don't yet understand"—always retreating as scientific progress advances, much like obsolete scientific concepts such as ether- The Value Frontier: Why the aspects of human experience that resist quantification may be definitionally human—not because they're inherently unmeasurable, but because they represent whatever currently sits beyond our measurement capabilities- Mental Health as Hard Problem: Why her new institute focuses on arguably the most challenging application domain for AI, where getting memory, co-adaptation, transparency, and long-term human impact right isn't optional but essentialEllie consistently pushes back against premature conclusions—whether it's claims that AI definitively lacks meaning or assertions that passing standardized tests proves human-level capability. Her approach emphasizes asking "are these processes similar or different?" rather than making sweeping judgments about whether systems "really" understand or "truly" have intelligence. As Ellie notes, we're at the "tip of the iceberg" in understanding these systems—we haven't yet pushed them to their breaking point or discovered their full potential.Her work on ARIA demonstrates this philosophy in practice. Rather than avoiding mental health applications because they're ethically fraught, she's leaning into the difficulty precisely because it forces confrontation with all the hard questions—from how memory works to how repeated human-AI interaction fundamentally changes both parties over time. It's research that refuses to wait a generation to see if we've "screwed up a whole generation."

In this episode of Two Bees in a Podcast, Amy Vu and Dr. Jamie Ellis are joined by Dr. Beatrice Nganso, a Research Scientist in commercial insects at the International Center of Insect Physiology & Ecology in Nairobi, Kenya to discuss her research on honey bee colony losses in Sub-Saharan Africa. This episode ends with a Q&A segment. Check out our website: www.ufhoneybee.com for additional resources from today's episode.  

Bryan Reimer, Ph.D., is a Research Scientist in the MIT Center for Transportation and Logistics and co-author of the book "How to Make AI Useful: Moving Beyond the Hype to Real Progress in Business, Society and Life." Bryan discusses AI's current trajectory, its impact on transportation, jobs, creativity, and other areas of life. He discusses how to harness AI as a useful tool to fully realise AI's potential in a safe manner.

AI reasoning models don't just give answers — they plan, deliberate, and sometimes try to cheat.In this episode of The Neuron, we're joined by Bowen Baker, Research Scientist at OpenAI, to explore whether we can monitor AI reasoning before things go wrong — and why that transparency may not last forever.Bowen walks us through real examples of AI reward hacking, explains why monitoring chain-of-thought is often more effective than checking outputs, and introduces the idea of a “monitorability tax” — trading raw performance for safety and transparency.We also cover:Why smaller models thinking longer can be safer than bigger modelsHow AI systems learn to hide misbehaviorWhy suppressing “bad thoughts” can backfireThe limits of chain-of-thought monitoringBowen's personal view on open-source AI and safety risksIf you care about how AI actually works — and what could go wrong — this conversation is essential.Resources: Title URLEvaluating chain-of-thought monitorability | OpenAI https://openai.com/index/evaluating-chain-of-thought-monitorability/Understanding neural networks through sparse circuits | OpenAI https://openai.com/index/understanding-neural-networks-through-sparse-circuits/OpenAI's alignment blog: https://alignment.openai.com/

Will AGI happen soon - or are we running into a wall?In this episode, I'm joined by Tim Dettmers (Assistant Professor at CMU; Research Scientist at the Allen Institute for AI) and Dan Fu (Assistant Professor at UC San Diego; VP of Kernels at Together AI) to unpack two opposing frameworks from their essays: “Why AGI Will Not Happen” versus “Yes, AGI Will Happen.” Tim argues progress is constrained by physical realities like memory movement and the von Neumann bottleneck; Dan argues we're still leaving massive performance on the table through utilization, kernels, and systems—and that today's models are lagging indicators of the newest hardware and clusters.Then we get practical: agents and the “software singularity.” Dan says agents have already crossed a threshold even for “final boss” work like writing GPU kernels. Tim's message is blunt: use agents or be left behind. Both emphasize that the leverage comes from how you use them—Dan compares it to managing interns: clear context, task decomposition, and domain judgment, not blind trust.We close with what to watch in 2026: hardware diversification, the shift toward efficient, specialized small models, and architecture evolution beyond classic Transformers—including state-space approaches already showing up in real systems.Sources:Why AGI Will Not Happen - https://timdettmers.com/2025/12/10/why-agi-will-not-happen/Use Agents or Be Left Behind? A Personal Guide to Automating Your Own Work - https://timdettmers.com/2026/01/13/use-agents-or-be-left-behind/Yes, AGI Can Happen – A Computational Perspective - https://danfu.org/notes/agi/The Allen Institute for Artificial IntelligenceWebsite - https://allenai.orgX/Twitter - https://x.com/allen_aiTogether AIWebsite - https://www.together.aiX/Twitter - https://x.com/togethercomputeTim DettmersBlog - https://timdettmers.comLinkedIn - https://www.linkedin.com/in/timdettmers/X/Twitter - https://x.com/Tim_DettmersDan FuBlog - https://danfu.orgLinkedIn - https://www.linkedin.com/in/danfu09/X/Twitter - https://x.com/realDanFuFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) - Intro(01:06) – Two essays, two frameworks on AGI(01:34) – Tim's background: quantization, QLoRA, efficient deep learning(02:25) – Dan's background: FlashAttention, kernels, alternative architectures(03:38) – Defining AGI: what does it mean in practice?(08:20) – Tim's case: computation is physical, diminishing returns, memory movement(11:29) – “GPUs won't improve meaningfully”: the core claim and why(16:16) – Dan's response: utilization headroom (MFU) + “models are lagging indicators”(22:50) – Pre-training vs post-training (and why product feedback matters)(25:30) – Convergence: usefulness + diffusion (where impact actually comes from)(29:50) – Multi-hardware future: NVIDIA, AMD, TPUs, Cerebras, inference chips(32:16) – Agents: did the “switch flip” yet?(33:19) – Dan: agents crossed the threshold (kernels as the “final boss”)(34:51) – Tim: “use agents or be left behind” + beyond coding(36:58) – “90% of code and text should be written by agents” (how to do it responsibly)(39:11) – Practical automation for non-coders: what to build and how to start(43:52) – Dan: managing agents like junior teammates (tools, guardrails, leverage)(48:14) – Education and training: learning in an agent world(52:44) – What Tim is building next (open-source coding agent; private repo specialization)(54:44) – What Dan is building next (inference efficiency, cost, performance)(55:58) – Mega-kernels + Together Atlas (speculative decoding + adaptive speedups)(58:19) – Predictions for 2026: small models, open-source, hardware, modalities(1:02:02) – Beyond transformers: state-space and architecture diversity(1:03:34) – Wrap

Automotive manufacturing leaders have no shortage of data, but only those who turn it into action are winning, and AI is the accelerator.In this milestone episode, Jan Griffiths is joined by Sanjay Brahmawar, CEO of QAD, and Dr. Bryan Reimer, MIT Research Scientist and author of How to Make AI Useful, for a grounded conversation about how AI is creating real advantage in automotive manufacturing.The challenge facing automotive manufacturing leaders is not visibility. Leaders know where problems exist. The issue is that action often stalls between insight and execution. Dashboards explain what happened. They do not decide what happens next.Sanjay and Bryan draw a clear distinction between systems of record and systems of action. Systems of record observe. Systems of action decide, execute, and learn. Agentic AI belongs in the second category. It creates value when it removes friction from work, accelerates routine decisions, and gives people better context at the moment action is required.Frontline teams in automotive manufacturing do not resist AI. They adopt it when it respects their expertise and helps them do their jobs better. Adoption follows usefulness, not mandates. When AI amplifies human judgment instead of supervising it, execution speed improves and results follow.This episode challenges automotive manufacturing leaders to stop treating AI as a reporting layer and start using it as an execution engine. The organizations pulling ahead are not waiting for perfect conditions. They are starting small, learning fast, and letting action build confidence.Themes Discussed in this episode:Why data visibility alone does not drive performance in automotive manufacturingSystems of record vs systems of actionHow AI removes friction from automotive manufacturing operationsFrontline-first AI adoption in plantsAgentic AI as an execution multiplierLeadership ownership of decisionsBuilding momentum with 60 to 90-day winsFeatured Guests: Name: Sanjay BrahmawarTitle: CEO of QAD About: Sanjay Brahmawar is the CEO of QAD, a cloud software company delivering cloud-based solutions for manufacturers and global supply chains. With more than two decades of experience leading global technology businesses, he brings deep expertise in digital transformation, AI, IoT, and data-driven platforms, built through senior leadership roles at IBM and Software AG.Connect: LinkedInName: Dr. Bryan ReimerAbout: Dr. Bryan Reimer is a Research Scientist at the MIT Center for Transportation & Logistics and a key member of the MIT AgeLab. He is also the author of How to Make AI Useful: Moving beyond the hype to real progress in business, society and life. His work focuses on how...

In this episode of ACM ByteCast, Rashmi Mohan hosts 2024 ACM A.M. Turing Andrew laureates Andrew Barto and Richard Sutton. They received the Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, a computational framework that underpins modern AI systems such as AlphaGo and ChatGPT. Barto is Professor Emeritus in the Department of Information and Computer Sciences at the University of Massachusetts, Amherst. His honors include the UMass Neurosciences Lifetime Achievement Award, the IJCAI Award for Research Excellence, and the IEEE Neural Network Society Pioneer Award. He is a Fellow of IEEE and AAAS. Sutton is a Professor in Computing Science at the University of Alberta, a Research Scientist at Keen Technologies (an artificial general intelligence company) and Chief Scientific Advisor of the Alberta Machine Intelligence Institute (Amii). In the past he was a Distinguished Research Scientist at Deep Mind and served as a Principal Technical Staff Member in the AI Department at the AT&T Shannon Laboratory. His honors include the IJCAI Research Excellence Award, a Lifetime Achievement Award from the Canadian Artificial Intelligence Association, and an Outstanding Achievement in Research Award from the University of Massachusetts at Amherst. Sutton is a Fellow of the Royal Society of London, AAAI, and the Royal Society of Canada. In the interview, Andrew and Richard reflect on their long collaboration together and the personal and intellectual paths that led both researchers into CS and reinforcement learning (RL), a field that was once largely neglected. They touch on interdisciplinary explorations across psychology (animal learning), control theory, operations research, cybernetics, and how these inspired their computational models. They also explain some of their key contributions to RL, such as temporal difference (TD) learning and how their ideas were validated biologically with observations of dopamine neurons. Barto and Sutton trace their early research to later systems such as TD-Gammon, Q-learning, and AlphaGo and consider the broader relationship between humans and reinforcement learning-based AI, and how theoretical explorations have evolved into impactful applications in games, robotics, and beyond.

Skunks can stink, no doubt about it. But that stink is actually a superpower! Join Molly and co-host Diya as they find out how these critters use their smell to scare away enemies, what the smell is made of, and how to make your own de-skunking potion. Plus, Wombat Pete drops by to promote his new music festival, we speak to some skunk experts, and we try our best to guess a new Mystery Sound. Don't forget the de-skunking potion mnemonic: 4 Cats Had Problems Queen Coughed Beside Suzie's Tenth Lasagna, Don't Sneeze Translation: 4 Cups hydrogen peroxide Quarter Cup baking soda Teaspoon Liquid Dish Soap Guest: Marie Tosa, Research Scientist with the Washington Department of Fish and Wildlife. Guest: Ted Stankowich, Professor in the Department of Biological Sciences and CSU Long Beach. Want to support Brains On and all of the shows in the Brains On Universe? Sign up for Smarty Pass. You'll get ad-free episodes of all our shows, bonus content, virtual hangouts, discounts on merch and more! Click here for a transcript of this episode.See omnystudio.com/listener for privacy information.

Register NOW for the UHY 2026 Annual Automotive Supplier Outlook - click hereSometimes a conversation hits so deeply that it demands a part two , and that's exactly what happened after our episode with MIT's Dr. Bryan Reimer. The response was immediate, and the very first message came from CADIA CEO Cheryl Thompson, who had been quietly diving deep into AI for months. Her reaction captured what so many leaders are feeling right now: excitement, overwhelm, fear, and possibility all at once.This episode brings Cheryl and Bryan together to talk about what AI is really doing inside companies — not the hype, but the human impact. The emotional truth? AI is forcing us to look hard at our culture, our trust levels, and our willingness to unlearn the habits that hold us back. That's where transformation starts.Cheryl shares how AI has changed the way she works, creates, leads, and even manages her daily life. But she's honest about the trap many leaders fall into: using AI to produce more… instead of stepping back to breathe, think, and lead. Bryan brings the research lens, grounding the conversation in what AI can do, what it can't, and how leaders must shift from delegation to collaboration if they want AI to be truly useful.Together they unpack psychological safety, generational differences, the rise of agentic AI, and the cultural tension AI exposes inside legacy automotive. And they remind us that AI will not replace leaders — but leaders who use AI well will absolutely outpace those who don't.This isn't a conversation about technology. It's a conversation about courage, trust, and the future of leadership in an industry that desperately needs to move faster while staying true to its values.Themes Discussed in This EpisodeHow trust and culture determine whether AI succeeds or stallsWhy leaders must collaborate with AI instead of delegating blindlyWhat the Wow, Whoa, Grow framework reveals about human behaviorHow generational differences shape AI adoption and comfort levelsWhy AI in automotive demands unlearning old processes, not just adding toolsThe risk of locking down AI too tightly — and the risk of letting it run wildHow small businesses and startups are using AI to outrun traditional OEMsWatch the Full Video on YouTube - click hereThis episode is sponsored by Lockton, click here to learn more Featured GuestsCheryl Thompson, CEO, CADIACheryl leads the CADIA: Culture Evolved, where she equips organizations to build equitable, high-performing cultures. A former manufacturing engineering leader in the automotive industry, Cheryl is known for her human-centered approach to leadership, her commitment to psychological safety, and her skillful integration of AI into learning and development. She helps teams work smarter, remove friction, and accelerate change by pairing technology with deep emotional awareness.Dr. Bryan Reimer, Research Scientist, MITDr. Bryan Reimer is a Research Scientist at the MIT Center for Transportation & Logistics and a founding member of the MIT AgeLab. His work examines how humans and automation interact in real-world conditions, including driving, attention, decision-making, and safety. He leads three major academic–industry consortia focused on