Podcasts about scientific discovery

My guest is Dr. Jay Bhattacharya, MD, PhD, Director of the National Institutes of Health (NIH) and Professor Emeritus of Health Policy at Stanford University. We discuss which scientific questions ought to be the priority for NIH, how to incentivize bold, innovative science especially from younger labs, how to solve the replication crisis and restore trust and transparency in science and public health, including acknowledging prior failures by the NIH. We discuss the COVID-19 pandemic and the data and sociological factors that motivated lockdowns, masking and vaccine mandates. Dr. Bhattacharya shares his views on how to resolve the vaccine–autism debate and how best to find the causes and cures for autism and chronic diseases. The topics we cover impact everyone: male, female, young and old and, given that NIH is the premier research and public health organization in the world, extend to Americans and non-Americans alike. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman Eight Sleep: https://eightsleep.com/huberman Levels: ⁠https://levels.link/huberman⁠ LMNT: https://drinklmnt.com/huberman Timestamps 00:00:00 Jay Bhattacharya 00:06:56 National Institutes of Health (NIH), Mission 00:09:12 Funding, Basic vs. Applied Research 00:18:22 Sponsors: David & Eight Sleep 00:21:20 Indirect Costs (IDC), Policies & Distribution 00:30:43 Taxpayer Funding, Journal Access, Public Transparency 00:38:14 Taxpayer Funding, Patents; Drug Costs in the USA vs Other Countries 00:48:50 Reducing Medication Prices; R&D, Improving Health 01:00:01 Sponsors: AG1 & Levels 01:02:55 Lowering IDC?, Endowments, Monetary Distribution, Scientific Groupthink 01:12:29 Grant Review Process, Innovation 01:21:43 R01s, Tenure, Early Career Scientists & Novel Ideas 01:31:46 Sociology of Grant Evaluation, Careerism in Science, Failures 01:39:08 “Sick Care” System, Health Needs 01:44:01 Sponsor: LMNT 01:45:33 Incentives in Science, H-Index, Replication Crisis 01:58:54 Scientists, Data Fraud, Changing Careers 02:03:59 NIH & Changing Incentive Structure, Replication, Pro-Social Behavior 02:15:26 Scientific Discovery, Careers & Changing Times, Journals & Publications 02:19:56 NIH Grants & Appeals, Under-represented Populations, DEI 02:28:58 Inductive vs Deductive Science; DEI & Grants; Young Scientists & NIH Funding 02:39:38 Grant Funding, Identity & Race; Shift in NIH Priorities 02:51:23 Public Trust & Science, COVID Pandemic, Lockdowns, Masks 03:04:41 Pandemic Mandates & Economic Inequality; Fear; Public Health & Free Speech 03:13:39 Masks, Harms, Public Health Messaging, Uniformity, Groupthink, Vaccines 03:22:48 Academic Ostracism, Public Health Messaging & Opposition 03:30:26 Culture of American Science, Discourse & Disagreement 03:36:03 Vaccines, COVID Vaccines, Benefits & Harms 03:47:05 Vaccine Mandates, Money, Public Health Messaging, Civil Liberties 03:54:52 COVID Vaccines, Long-Term Effects; Long COVID, Vaccine Injury, Flu Shots 04:06:47 Do Vaccines Cause Autism?; What Explains Rise in Autism 04:18:33 Autism & NIH; MAHA & Restructuring NIH? 04:25:47 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

Can a Nobel Prize-winning molecule help slow aging, improve sleep, and boost your energy?In this episode of Better Health Bookshelf, host Mike Capuzzi speaks with Chris Burres, scientist, entrepreneur, and author of Live Longer and Better, about the surprising health benefits of carbon 60—a powerful antioxidant gaining attention as a next-generation longevity supplement. For adults over 50 seeking alternatives to pharmaceutical solutions, this conversation explores what carbon 60 supplements (also known as C60) can really do for energy, inflammation, and healthy aging.Listeners will discover:• What carbon 60 is and why it matters for longevity • The link between C60, oxidative stress, and better sleep • How carbon 60 may support healthy aging from head to toeLearn why more people over 50 are turning to this promising discovery and what it could mean for your health.If you find this episode helpful, please consider subscribing and sharing it with friends and family.

MIT says that due to concerns about the “integrity” of a high-profile paper on the effects of artificial intelligence on the productivity of a materials science lab, the paper should be “withdrawn from public discourse.” The paper in question, “Artificial Intelligence, Scientific Discovery, and Product Innovation,” was written by a doctoral student Learn more about your ad choices. Visit podcastchoices.com/adchoices

The search for life beyond Earth is no longer science fiction—it takes a lot of data, powerful telescopes and a bit of cosmic detective work. And at the center of this search is University of Chicago astrophysicist Jacob Bean. Bean was part of the team that made history by detecting carbon dioxide in the atmosphere of a distant planet using the James Webb Space Telescope—a major step forward in our ability to study exoplanets.Bean uses cutting-edge tools and discoveries that are reshaping how we think about planet habitability, biosignatures and our place in the universe. From potentially habitable exoplanets like K2-18b to false hopes like Gliese 486b, Bean shares why the atmospheres of these faraway worlds might hold the key to one of humanity's oldest questions: Are we alone in the universe?

Hundreds of U.S.-based scientists are applying to a French university program following major federal research funding cuts in the U.S. France's new initiative promises financial support and academic freedom, prompting what some are calling a potential “brain drain.” The panel discusses the implications for American innovation, global collaboration, and the growing politicization of science funding.News SourceNPR by Alana Wise, April 18, 2025https://www.npr.org/2025/04/18/nx-s1-5368132/us-researchers-scientists-apply-french-university-programThe Non-Prophets, Episode 24.18.2 featuring Cynthia McDonald, Stephen Harder and AJ FranceAttracts U.S. Scientists After Research Cuts

In this episode of For Your Innovation, Brett Winton, along with ARK Invest Chief Investment Strategist, Charles Roberts, and Research Analyst, Nemo Marjanovic, sit down with Geoffrey von Maltzahn, CEO and founder of Lila Sciences and a general partner at Flagship Pioneering. Fresh out of stealth mode, Lila is pioneering the concept of scientific superintelligence—leveraging AI and automation to accelerate discovery across materials science, chemistry, and life sciences. Geoffrey shares his vision for transforming the scientific method into an AI-driven engine that pushes the boundaries of innovation at unprecedented speeds. The conversation explores the limitations of traditional scientific research, the role of AI-driven autonomous labs, and how Lila aims to revolutionize hypothesis testing and experimentation. Geoffrey discusses how scientific intelligence can scale across domains, the importance of proprietary data, and why unlocking AI's potential in science could be one of the most valuable technological advances of our time.Key Points From This Episode:ARK Invest sees Lila as a transformative opportunity.Lila's AI science factories are reinventing research.We're experiencing breakthroughs in mRNA and material science through AI.Scientists roles are evolving in an AI-powered world.

Is it okay to use large language models in the research process? For what task, exactly, and to automate the task or to augment the researcher? In this episode, we try to explore whether and how LLMs could be used in five aspects of the research process - for paper writing, reviewing, data analysis, as a subject of research, or as a surrogate for research subjects. We also discuss whether they should be used at all, and what some long-term consequences could be of such a choice, and we develop a number of heuristic rules to help researcher make decisions about using LLMs for research. Episode reading list Kankanhalli, A. (2024). Peer Review in the Age of Generative AI. Journal of the Association for Information Systems, 25(1), 76-84. Yang, Y., Duan, H., Liu, J., & Tam, K. Y. (2024). LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research. arXiv preprint, . Li, J., Larsen, K. R. T., & Abbasi, A. (2020). TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning. MIS Quarterly, 44(4), 1733-1772. Larsen, K. R., Yan, S., & Lukyanenko, R. (2024). LLMs and Psychometrics: Global Construct Validity Integrating LLMs and Psychometrics. 45th International Conference on Information Systems, Bangkok, Thailand. Anthis, J. R., Liu, R., Richardson, S. M., Kozlowski, A. C., Koch, B., Evans, J., Brynjolfsson, E., & Bernstein, M. (2025). LLM Social Simulations Are a Promising Research Method. arXiv preprint, . Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49(1), 1-28.

In this episode of Crazy Wisdom, Stewart Alsop speaks with German Jurado about the strange loop between computation and biology, the emergence of reasoning in AI models, and what it means to "stand on the shoulders" of evolutionary systems. They talk about CRISPR not just as a gene-editing tool, but as a memory architecture encoded in bacterial immunity; they question whether LLMs are reasoning or just mimicking it; and they explore how scientists navigate the unknown with a kind of embodied intuition. For more about German's work, you can connect with him through email at germanjurado7@gmail.com.Check out this GPT we trained on the conversation!Timestamps00:00 - Stewart introduces German Jurado and opens with a reflection on how biology intersects with multiple disciplines—physics, chemistry, computation.05:00 - They explore the nature of life's interaction with matter, touching on how biology is about the interface between organic systems and the material world.10:00 - German explains how bioinformatics emerged to handle the complexity of modern biology, especially in genomics, and how it spans structural biology, systems biology, and more.15:00 - Introduction of AI into the scientific process—how models are being used in drug discovery and to represent biological processes with increasing fidelity.20:00 - Stewart and German talk about using LLMs like GPT to read and interpret dense scientific literature, changing the pace and style of research.25:00 - The conversation turns to societal implications—how these tools might influence institutions, and the decentralization of expertise.30:00 - Competitive dynamics between AI labs, the scaling of context windows, and speculation on where the frontier is heading.35:00 - Stewart reflects on English as the dominant language of science and the implications for access and translation of knowledge.40:00 - Historical thread: they discuss the Republic of Letters, how the structure of knowledge-sharing has evolved, and what AI might do to that structure.45:00 - Wrap-up thoughts on reasoning, intuition, and the idea of scientists as co-evolving participants in both natural and artificial systems.50:00 - Final reflections and thank-yous, German shares where to find more of his thinking, and Stewart closes the loop on the conversation.Key InsightsCRISPR as a memory system – Rather than viewing CRISPR solely as a gene-editing tool, German Jurado frames it as a memory architecture—an evolved mechanism through which bacteria store fragments of viral DNA as a kind of immune memory. This perspective shifts CRISPR into a broader conceptual space, where memory is not just cognitive but deeply biological.AI models as pattern recognizers, not yet reasoners – While large language models can mimic reasoning impressively, Jurado suggests they primarily excel at statistical pattern matching. The distinction between reasoning and simulation becomes central, raising the question: are these systems truly thinking, or just very good at appearing to?The loop between computation and biology – One of the core themes is the strange feedback loop where biology inspires computational models (like neural networks), and those models in turn are used to probe and understand biological systems. It's a recursive relationship that's accelerating scientific insight but also complicating our definitions of intelligence and understanding.Scientific discovery as embodied and intuitive – Jurado highlights that real science often begins in the gut, in a kind of embodied intuition before it becomes formalized. This challenges the myth of science as purely rational or step-by-step and instead suggests that hunches, sensory experience, and emotional resonance play a crucial role.Proteins as computational objects – Proteins aren't just biochemical entities—they're shaped by information. Their structure, function, and folding dynamics can be seen as computations, and tools like AlphaFold are beginning to unpack that informational complexity in ways that blur the line between physics and code.Human alignment is messier than AI alignment – While AI alignment gets a lot of attention, Jurado points out that human alignment—between scientists, institutions, and across cultures—is historically chaotic. This reframes the AI alignment debate in a broader evolutionary and historical context, questioning whether we're holding machines to stricter standards than ourselves.Standing on the shoulders of evolutionary processes – Evolution is not just a backdrop but an active epistemic force. Jurado sees scientists as participants in a much older system of experimentation and iteration—evolution itself. In this view, we're not just designing models; we're being shaped by them, in a co-evolution of tools and understanding.

Send us a textFrom the Front Lines to the Lab: Dino Garner's Extraordinary Journey of Service, Science, and SupportIn this captivating episode of Security Halt!, host Deny Caballero sits down with Dino Garner—veteran, innovator, author, and scientist—for a wide-ranging conversation on mentorship, resilience, and redefining purpose after military service.Dino opens up about his remarkable life—from growing up in Europe and navigating cultural transitions in the U.S., to serving in the military and later making groundbreaking discoveries in marine biology and scientific research. He emphasizes the critical role of mentorship, personal development, and helping others as guiding principles throughout his life.Together, they unpack the struggles many veterans face when returning to civilian life, the need for lifelong learning, and how innovation and empathy can drive new solutions for PTSD. Dino also shares compelling insights about the molecular side of trauma and why deeper scientific understanding is essential for creating lasting change in mental health care.This episode is an inspiring look at how one man's mission to lead, educate, and serve continues to evolve—and how every veteran has the power to turn pain into purpose.

In a world that often feels fragmented, uncertain, and spiritually empty, what if belief isn't just possible - but essential? Today, I'm sitting down with Ross Douthat, New York Times columnist and one of our most nuanced cultural thinkers, to explore a radical proposition: Why everyone should be religious in an age of growing skepticism. We're going beyond the debates of belief versus non-belief. This conversation dives into the mysteries at the heart of human experience - from quantum physics that suggests the universe might be more intentional than we thought, to near-death experiences that challenge everything we understand about consciousness. Douthat brings a provocative, intellectually rigorous perspective that defies easy categorization. We'll explore how ancient spiritual wisdom might hold profound answers for our hyper-individualized, technology-driven world. How can religious thinking help us navigate complexity, find meaning, and reconnect with something larger than ourselves? Expect surprises. We'll uncover scientific discoveries that point toward design, discuss supernatural experiences that defy materialist explanations, and wrestle with life's deepest questions. Whether you're a committed believer, a curious skeptic, or someone feeling spiritually lost, this episode promises to expand your understanding and offer a message of hope. We're not just talking about belief - we're reimagining what it means to be human in a mysterious universe. Ross Douthat is a columnist for The New York Times op-ed page. He is the author of Believe, The Deep Places, The Decadent Society, To Change The Church, Privilege, and Grand New Party. Before joining the Times he was a senior editor for The Atlantic. He is the film critic for National Review, and he has appeared regularly on television, including Charlie Rose, PBS Newshour, and Real Time with Bill Maher.Ross' Book:BelieveRoss' Recommendation:SeveranceSubscribe to Our Substack: Shifting CultureConnect with Joshua: jjohnson@allnations.usGo to www.shiftingculturepodcast.com to interact and donate. Every donation helps to produce more podcasts for you to enjoy.Follow on Facebook, Instagram, Twitter, Threads, Bluesky or YouTubeConsider Giving to the podcast and to the ministry that my wife and I do around the world. Just click on the support the show link belowEmail jjohnson@allnations.us, so we can get your creative project off the ground! Support the show

In episode 195, we welcome Benji Leibowitz, COO at Molecule and Co-Founder of pump.science. Benji is at the forefront of Decentralized Science (aka DeSci), a movement using blockchain to democratize research funding, unlock new discoveries, and shift power from big institutions of funders, and into the hands of scientists and the community.In this episode, we explore:How Decentralized Science (DeSci) is revolutionizing scientific research and funding The potential of IP tokens and crypto-powered science to unlock new medical breakthroughsAnd why now, amidst NIH cuts and a challenging funding environment in the US, presents a unique opportunity for DeSci to fill critical funding gaps, empower independent researchers, and accelerate scientific innovation beyond traditional institutional barriers.--Key Takeaways--

John Maytham speaks with Nazir Ismail, Head of Clinical Microbiology and Infectious Diseases at Wits University, about an extraordinary new discovery in the immune system that could revolutionize the fight against antibiotic-resistant infections. Scientists have found that the proteasome, previously known for recycling proteins, has an unexpected ability to produce bacteria-killing chemicals.See omnystudio.com/listener for privacy information.

Is “now” just an illusion? Neil deGrasse Tyson and comic co-host Paul Mecurio answer questions on the Higgs Field, dark energy, and the feasibility of Dyson spheres with astrophysicist Hakeem Oluseyi.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/hubble-trouble-with-hakeem-oluseyi/Thanks to our Patrons Omar Video, Dan Carson, Joy Jack, Christine Bryant, Andrea Andrade, mahmoud hassan, Kyal Murray, Mercedes Dominguez, Christopher Rogalski, Eric De Bruin, Telmore, Gabe Ramshaw, James Edward Humphrey, Laurel Herbert, AJ Chambers, Bill WInn, Mayson Howell, Julianne Markow, Manthan Patel, Sonya Ponds, Depression Rawr, David Leys, Garon Devine, Vishal Ayeppun, BIIZZxGaming, Kurt Clark, Max Goldberg, Beth McDaniel, Shelby Staudenmaier, Kinnick Sutton, Jane von Schilling, Joanne karl, Walter Kinslow, and Eric Johnston for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus.

We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.The guests include Chris Lu, a researcher who recently completed his DPhil at Oxford University under Prof. Jakob Foerster's supervision, where he focused on meta-learning and multi-agent systems. Chris is the first author of the DiscoPOP paper, which demonstrates how language models can discover and design better training algorithms. Also joining is Robert Tjarko Lange, a founding member of Sakana AI who specializes in evolutionary algorithms and large language models. Robert leads research at the intersection of evolutionary computation and foundation models, and is completing his PhD at TU Berlin on evolutionary meta-learning. The discussion also features Cong Lu, currently a Research Scientist at Google DeepMind's Open-Endedness team, who previously helped develop The AI Scientist and Intelligent Go-Explore.SPONSOR MESSAGES:***CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale deployments. Check out their super fast DeepSeek R1 hosting!https://centml.ai/pricing/Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/**** DiscoPOP - A framework where language models discover their own optimization algorithms* EvoLLM - Using language models as evolution strategies for optimizationThe AI Scientist - A fully automated system that conducts scientific research end-to-end* Neural Attention Memory Models (NAMMs) - Evolved memory systems that make transformers both faster and more accurateTRANSCRIPT + REFS:https://www.dropbox.com/scl/fi/gflcyvnujp8cl7zlv3v9d/Sakana.pdf?rlkey=woaoo82943170jd4yyi2he71c&dl=0Robert Tjarko Langehttps://roberttlange.com/Chris Luhttps://chrislu.page/Cong Luhttps://www.conglu.co.uk/Sakanahttps://sakana.ai/blog/TOC:1. LLMs for Algorithm Generation and Optimization [00:00:00] 1.1 LLMs generating algorithms for training other LLMs [00:04:00] 1.2 Evolutionary black-box optim using neural network loss parameterization [00:11:50] 1.3 DiscoPOP: Non-convex loss function for noisy data [00:20:45] 1.4 External entropy Injection for preventing Model collapse [00:26:25] 1.5 LLMs for black-box optimization using abstract numerical sequences2. Model Learning and Generalization [00:31:05] 2.1 Fine-tuning on teacher algorithm trajectories [00:31:30] 2.2 Transformers learning gradient descent [00:33:00] 2.3 LLM tokenization biases towards specific numbers [00:34:50] 2.4 LLMs as evolution strategies for black box optimization [00:38:05] 2.5 DiscoPOP: LLMs discovering novel optimization algorithms3. AI Agents and System Architectures [00:51:30] 3.1 ARC challenge: Induction vs. transformer approaches [00:54:35] 3.2 LangChain / modular agent components [00:57:50] 3.3 Debate improves LLM truthfulness [01:00:55] 3.4 Time limits controlling AI agent systems [01:03:00] 3.5 Gemini: Million-token context enables flatter hierarchies [01:04:05] 3.6 Agents follow own interest gradients [01:09:50] 3.7 Go-Explore algorithm: archive-based exploration [01:11:05] 3.8 Foundation models for interesting state discovery [01:13:00] 3.9 LLMs leverage prior game knowledge4. AI for Scientific Discovery and Human Alignment [01:17:45] 4.1 Encoding Alignment & Aesthetics via Reward Functions [01:20:00] 4.2 AI Scientist: Automated Open-Ended Scientific Discovery [01:24:15] 4.3 DiscoPOP: LLM for Preference Optimization Algorithms [01:28:30] 4.4 Balancing AI Knowledge with Human Understanding [01:33:55] 4.5 AI-Driven Conferences and Paper Review

Can experimenting with game design increase our chances of finding a cure for cancer? Cancer is crafty, forcing us to be just as clever in our efforts to outfox it—and we've made excellent progress, but is it time for a new play in the playbook?  In Gaming Cancer: How Building and Playing Video Games Can Accelerate Scientific Discovery (MIT Press, 2025), Jeff Yoshimi proposes a new approach to fighting an increasingly exhausting war. By putting the work of cancer research into the hands of nonspecialists, Yoshimi believes, we can accelerate the process of outgaming the disease once and for all. Gamers have already used “serious games” to discover new galaxies, digitize ancient texts, decode viruses, and solve theoretical problems in neuroscience. Cancer is a multilayered threat, and our best bet at overcoming it is via more minds working in concert. Gaming Cancer is an instruction manual for engineering games that motivate users to strain and sweat to find cancer cures. It integrates game design with research in cancer biology, data visualization techniques, and developments in cognitive science and AI while remaining sensitive to the limitations of citizen science and ethical concerns. Yoshimi sees in cutting-edge game technology the potential to educate and empower people to outwit cancer, an indirect route to richer science literacy that draws on the boundless resources of the mind. This book offers anyone invested in beating this seemingly intractable disease a concrete playbook that combines real science with creative vision in an effort to defeat the boss monster, cancer. Rudolf Thomas Inderst (*1978) enjoys video games since 1985. He received a master's degree in political science, American cultural studies as well as contemporary and recent history from Ludwig-Maximilians-University, Munich and holds two PhDs in game studies (LMU & University of Passau). Currently, he's teaching as a professor for game design at the IU International University for Applied Science, has submitted his third dissertation at the University of Vechta, holds the position as lead editor at the online journal Titel kulturmagazin for the game section, hosts the German local radio show Replay Value and is editor of the weekly game research newsletter DiGRA D-A-CH Game Studies Watchlist. 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

Can experimenting with game design increase our chances of finding a cure for cancer? Cancer is crafty, forcing us to be just as clever in our efforts to outfox it—and we've made excellent progress, but is it time for a new play in the playbook?  In Gaming Cancer: How Building and Playing Video Games Can Accelerate Scientific Discovery (MIT Press, 2025), Jeff Yoshimi proposes a new approach to fighting an increasingly exhausting war. By putting the work of cancer research into the hands of nonspecialists, Yoshimi believes, we can accelerate the process of outgaming the disease once and for all. Gamers have already used “serious games” to discover new galaxies, digitize ancient texts, decode viruses, and solve theoretical problems in neuroscience. Cancer is a multilayered threat, and our best bet at overcoming it is via more minds working in concert. Gaming Cancer is an instruction manual for engineering games that motivate users to strain and sweat to find cancer cures. It integrates game design with research in cancer biology, data visualization techniques, and developments in cognitive science and AI while remaining sensitive to the limitations of citizen science and ethical concerns. Yoshimi sees in cutting-edge game technology the potential to educate and empower people to outwit cancer, an indirect route to richer science literacy that draws on the boundless resources of the mind. This book offers anyone invested in beating this seemingly intractable disease a concrete playbook that combines real science with creative vision in an effort to defeat the boss monster, cancer. Rudolf Thomas Inderst (*1978) enjoys video games since 1985. He received a master's degree in political science, American cultural studies as well as contemporary and recent history from Ludwig-Maximilians-University, Munich and holds two PhDs in game studies (LMU & University of Passau). Currently, he's teaching as a professor for game design at the IU International University for Applied Science, has submitted his third dissertation at the University of Vechta, holds the position as lead editor at the online journal Titel kulturmagazin for the game section, hosts the German local radio show Replay Value and is editor of the weekly game research newsletter DiGRA D-A-CH Game Studies Watchlist. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Is fusion the future of energy and space travel? Neil deGrasse Tyson and co-host Paul Mecurio explore the cutting-edge science of plasma physics and fusion energy with Fatima Ebrahimi, a physicist at Princeton Plasma Physics Lab.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/the-future-of-fusion-energy-with-fatima-ebrahimi/Thanks to our Patrons Christopher Salins, Alan Zismann, Paul Johansson, Aaron Brodsky, Debbie Fleming, Thayna Scarpetto, Kris, Jacob Mayfield, Danny Desmond, Tim Ellis, The Running Knitter, Kevin Collins, Mario Funes, Wendi McCall, Paula Patzova, derek lindstrom, Dave Jankus, Mercy Robinson, Linda Safarli, Hexeris, Julian Rassolov, Templex, Joseph, Adrian Aguilar, Nathan Colbert, Andoni Cardenas Huerta, Terrance B, William Strawbridge, Gabriel Torres, enrico janssens, Jonathan Winterrowd, Valentin Scherrer. For Chuck, just call me Val, Ozzie Springer, and Moon Light for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus.

Welcome to Stanford Engineering's The Future of Everything, the podcast that delves into groundbreaking research and innovations that are shaping the world and inventing the future. The University has a long history of doing work to positively impact the world and it's a joy to share about the people who are doing this work, what motivates them, and how their work is creating a better future for everybody. Join us every Friday for new episodes featuring insightful conversations with Stanford faculty and to discover how Stanford's research is transforming tomorrow's world. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

In this Convo of Flanigan's Eco-Logic, Ted speaks with Dr. Jennifer Bousselot, Assistant Professor at Colorado State University (CSU) in the Department of Horticulture and Landscape Architecture. Jennifer is exploring new and innovative ways to improve the productivity and aesthetics of modern urban spaces by harnessing the twin powers of the sun and plantlife. She specializes and is a leading expert in green roof research on native species evaluations, plant drought tolerance, integration with solar panels, and rooftop agrivoltaics. Jennifer shares a bit about her background, growing up on a 360-acre farm in Iowa, and was the youngest of 8 kids. She and her twin sister worked on the farm, and carried their deep farming roots into their careers. She earned her undergraduate and master's degrees at Iowa State University, and after a stint as a horticulture agent for the CSU Extension office in Douglas County, she followed her passion and pursued a doctorate of science in horticulture at CSU.Jennifer shares details on her green roofs project for her doctoral thesis, highlighting how she came upon rooftop agrovoltaics as a happy accident, finding there was a great synergy between the plants and solar panels; the plants grew better, and the solar performed better because of the plants' cooling effect. With a roster of graduate students and researchers, her team is pushing the boundaries of horticultural science with numerous pieces of published research and scientific discovery every year. She goes into the history of green roofs, and discusses her research on rooftop agrivoltaics and its benefits, including enhanced food production and security, improving clean energy pathways, and exploring sustainability integrations. 

How much more physics is out there to be discovered? Neil deGrasse Tyson sits down with physicist, professor, and rockstar Brian Cox, to discuss everything from the Higgs boson, life beyond our planet, and the fundamental forces that guide our universe.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/our-world-of-particles-with-brian-cox/Thanks to our Patrons Anthony Sclafani, Alejandro Arriola-Flores, Brian Christensen, Allen Baker, Atlanta Gamer, Nigel Gandy, Gene, Lisa Mettler, Daniel Johansson, Sunny Malhotra, Omar Marcelino, yoyodave, Mo TheRain, William Wilson, ChrissyK, David, Prabakar Venkataraman, PiaThanos22, BlackPiano, Radak Bence, Obaid Mohammadi, the1eagleman1, Scott Openlander, Brandon Micucci, Anastasios Kotoros, Thomas Ha, Phillip Thompson, Bojemo, Kenan Brooks, jmamblat@duck.com, TartarXO, Trinnie Schley, Davidson Zetrenne, and William Kramer for supporting us this week. Subscribe to SiriusXM Podcasts+ on Apple Podcasts to listen to new episodes ad-free and a whole week early.

What if the tiniest materials in the universe could save lives, fight diseases, and reshape our future?Today, we're uncovering the answers with Dr. Antonios Kelarakis. Join us for: The power of nanomaterials: Discover the science behind these tiny but mighty materials and their revolutionary potential. Exciting real-world applications: Learn how ultra-bright carbon dots are transforming medical treatments and how graphene coatings are combating harmful microbes. The role of AI in research: See how artificial intelligence is reshaping the discovery and development of groundbreaking materials. The big question: Can science truly save the next generation? This episode is packed with cutting-edge insights and real-world applications that will leave you inspired about the future of science and technology. Episode Chapters To help you navigate this episode, here are the chapter timestamps: 04:31 – Navigating the Academic Landscape 11:29 – Materials Alchemy: The Science Behind Innovation 16:59 – The Smart Revolution: Nanomaterials in Action 23:23 – Collaboration: The Heart of Scientific Discovery 27:21 – Theragnostics: The Role of Carbon Dots 29:52 – Graphene and Antimicrobial Coatings 33:33 – AI's Impact on Research and Academia 37:32 – Challenges and Opportunities in Nanomaterials 40:29 – Can Science Save the Next Generation?

Imagine a future in which Band-Aids talk to your cells, pacemakers are powered by light and your gut microbiome gets a tune-up—all thanks to tiny bioelectric devices. Sounds like sci-fi, right? Think again. Prof. Bozhi Tian of the University of Chicago is on the frontier of bioelectronics, building living machines that can heal, enhance and maybe even transform what it means to be human. In this episode, he explains his research lab's work and explores the thrilling, strange and sometimes unsettling world in which biology meets technology.

Stephen Dubner, live on stage, mixes it up with outbound mayor London Breed, and asks economists whether A.I. can be “human-centered” and if Tang is a gateway drug. SOURCES:London Breed, former mayor of San Francisco.Erik Brynjolfsson, professor of economics at Stanford UniversityKoleman Strumpf, professor of economics at Wake Forest University RESOURCES:"SF crime rate at lowest point in more than 20 years, mayor says," by George Kelly (The San Francisco Standard, 2025)"How the Trump Whale and Prediction Markets Beat the Pollsters in 2024," by Niall Ferguson and Manny Rincon-Cruz (Wall Street Journal, 2024)"Artificial Intelligence, Scientific Discovery, and Product Innovation," by Aidan Toner-Rodgers (MIT Department of Economics, 2024) EXTRAS:"Why Are Cities (Still) So Expensive?" by Freakonomics Radio (2020)

The complete archive of Subversive episodes, including exclusive episodes and my writing, is available on Substack.For a bit less, you can also subscribe to the podcast sans writing on Patreon. This is how the show is financed and grows, so I appreciate every contribution!Please subscribe at:⁠⁠https://www.alexkaschuta.com/⁠⁠⁠⁠https://www.patreon.com/aksubversive⁠Our chat explores the evolution of Human Biodiversity (HBD) discourse and the challenges of understanding complex data related to cognitive stratification and social mobility. We also discuss the impact of genetic technologies on future societal structures and the cultural perspectives surrounding fertility technologies, particularly in Eastern Europe. We also discuss the complexities of the economic viability of modern society, the challenges of immigration and integration, the rise of woke culture, the fragility of liberalism, the dynamics of gender, financial status, and relationships, particularly in the context of the baby boom and modern dating challenges. Our conversation also touches on parenting, emphasizing the limited impact of parenting styles on child development and the importance of understanding the realities of modern relationships. JayMan is a pseudonymous blogger: unz.com/author/jayman/ and can be found on X.com @JayMan471 Chapters 00:00 The Evolution of Human Biodiversity Discourse 04:00 The Impact of HBD on Society 08:01 Understanding Averages and Cognitive Stratification 09:50 Social Mobility and Assortative Mating 13:58 The Future of Genetic Technologies 17:51 Cultural Perspectives on Fertility Technologies 21:54 The Role of Scientific Discovery in Progress 29:02 The Economic Viability of Society 30:42 Immigration and Integration Challenges 32:52 Experiencing Dystopia: A Personal Account 36:43 The Rise of Woke Culture and Backlash 40:20 The Right's Response to Woke Culture 44:57 The Future of Immigration Policy 49:50 Global Voices and Cultural Shifts

Look at what Santa dropped when he came down the chimney last night. A bunch of valuable ThisISResearch Best paper Awards! As we do at the end of every year, we look back at the finest information systems scholarship our field has produced this year, and we pick some of our favorite papers that we want to give an award too. Like in previous years, we recognize three different kinds of best papers – a paper that is innovative in its use of research methods, a paper that is a fine example of elegant scholarship, and a paper that is trailblazing in the sense that it starts new conversations in our field. References Pujol Priego, L., & Wareham, J. (2023). From Bits to Atoms: White Rabbit at CERN. MIS Quarterly, 47(2), 639-668. Recker, J., Zeiss, R., & Mueller, M. (2024). iRepair or I Repair? A Dialectical Process Analysis of Control Enactment on the iPhone Repair Aftermarket. MIS Quarterly, 48(1), 321-346. Seidel, S., Frick, C. J., & vom Brocke, J. (2025). Regulating Emerging Technologies: Prospective Sensemaking through Abstraction and Elaboration. MIS Quarterly, 49, . Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49, . Lindberg, A., Schecter, A., Berente, N., Hennel, P., & Lyytinen, K. (2024). The Entrainment of Task Allocation and Release Cycles in Open Source Software Development. MIS Quarterly, 48(1), 67-94. Kitchens, B., Claggett, J. L., & Abbasi, A. (2024). Timely, Granular, and Actionable: Designing a Social Listening Platform for Public Health 3.0. MIS Quarterly, 48(3), 899-930. Chen, Z., & Chan, J. (2024). Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise. Management Science, 70(12), 9101-9117. Matherly, T., & Greenwood, B. N. (2024). No News is Bad News: The Internet, Corruption, and the Decline of the Fourth Estate. MIS Quarterly, 48(2), 699-714. Morse, L., Teodorescu, M., Awwad, Y., & Kane, G. C. (2022). Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms. Journal of Business Ethics, 181(4), 1083-1095. Hansen, S., Berente, N., & Lyytinen, K. (2009). Wikipedia, Critical Social Theory, and the Possibility of Rational Discourse. The Information Society, 25(1), 38-59. Habermas, J. (1984). Theory of Communicative Action, Volume 1: Reason and the Rationalization of Society. Heinemann.   

What do academics have to offer that practitioners do not already have? They have the data academics want. They can analyse it by themselves, sometimes better than academics. They are also not reading our articles. So why would academics bother engaging with them? Why should we even bridge that perceived or existing gap between theory and practice? Because academics need to dip their toes into practice, and they need to mingle with industry to stay relevant. So says Jonny Holmström, director and co-founder of the Swedish Center for Digital Innovation. He has been at the forefront of doing academic research that blends theory and practice, rigor and relevance, and he knows a thing or two about how to do so successfully. His secret? Maximize the gap between academics and practitioners, don't close it. References Holmström, J., Magnusson, J., & Mähring, M. (2021). Orchestrating Digital Innovation: The Case of the Swedish Center for Digital Innovation. Communications of the Association for Information Systems, 48(31), 248-264. Churchman, C. W. (1972). The Design of Inquiring Systems: Basic Concepts of Systems and Organization. Basic Books. Latour, B. (2005). Reassembling the Social: An Introduction to Actor-Network Theory. Oxford University Press. Holmström, J. (2022). From AI to Digital Transformation: The AI Readiness Framework. Business Horizons, 65(3), 329-339. Recker, J., Bockelmann, T., & Barthel, F. (2024). Growing Online-to-Offline Platform Businesses: How Vytal Became the World-Leading Provider of Smart Reusable Food Packaging. Information Systems Journal, 34(1), 179-200. Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49, . Sandberg, J., Holmström, J., & Lyytinen, K. (2020). Digitization and Phase Transitions in Platform Organizing Logics: Evidence from the Process Automation Industry. MIS Quarterly, 44(1), 129-153. Werder, K., Seidel, S., Recker, J., Berente, N., Kundert-Gibbs, J., Abboud, N., & Benzeghadi, Y. (2020). Data-Driven, Data-Informed, Data-Augmented: How Ubisoft's Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation. California Management Review, 62(3), 86-102. Sting, F. J., Tarakci, M., & Recker, J. (2024). Performance Implications of Digital Disruption in Strategic Competition. MIS Quarterly, 48(3), 1263-1278. Tarakci, M., Sting, F. J., Recker, J., & Kane, G. C. (2024). Three Questions to Ask About Your Digital Strategy. MIT Sloan Management Review, July, . Davenport, T. H. (1993). Process Innovation: Reengineering Work Through Information Technology. Harvard Business School Press. Davenport, T. H. (1998). Putting the Enterprise into the Enterprise System. Harvard Business Review, 76(4), 121-131. Schecter, A., Wowak, K. D., Berente, N., Ye, H., & Mukherjee, U. (2021). A Behavioral Perspective on Service Center Routing: The Role of Inertia. Journal of Operations Management, 67(8), 964-988. Sundberg, L., & Holmström, J. (2024). Innovating by Prompting: How to Facilitate Innovation in the Age of Generative AI. Business Horizons, 67(5), 561-570. Kronblad, C., Essén, A., & Mähring, M. (2024). When Justice is Blind to Algorithms: Multilayered Blackboxing of Algorithmic Decision Making in the Public Sector. MIS Quarterly, 48(4), 1637-1662.

In this episode of The Cognitive Revolution, Nathan interviews Andrew White, Professor of Chemical Engineering at the University of Rochester and Head of Science at Future House. We explore groundbreaking AI systems for scientific discovery, including PaperQA and Aviary, and discuss how large language models are transforming research. Join us for an insightful conversation about the intersection of AI and scientific advancement with this pioneering researcher in his first-ever podcast appearance. Check out Future House: https://www.futurehouse.org Help shape our show by taking our quick listener survey at https://bit.ly/TurpentinePulse SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers13. OCI powers industry leaders with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before December 31, 2024 at https://oracle.com/cognitive SelectQuote: Finding the right life insurance shouldn't be another task you put off. SelectQuote compares top-rated policies to get you the best coverage at the right price. Even in our AI-driven world, protecting your family's future remains essential. Get your personalized quote at https://selectquote.com/cognitive Shopify: Shopify is the world's leading e-commerce platform, offering a market-leading checkout system and exclusive AI apps like Quikly. Nobody does selling better than Shopify. Get a $1 per month trial at https://shopify.com/cognitive CHAPTERS: (00:00:00) Teaser (00:01:13) About the Episode (00:04:37) Andrew White's Journey (00:10:23) GPT-4 Red Team (00:15:33) GPT-4 & Chemistry (00:17:54) Sponsors: Oracle Cloud Infrastructure (OCI) | SelectQuote (00:20:19) Biology vs Physics (00:23:14) Conceptual Dark Matter (00:26:27) Future House Intro (00:30:42) Semi-Autonomous AI (00:35:39) Sponsors: Shopify (00:37:00) Lab Automation (00:39:46) In Silico Experiments (00:45:22) Cost of Experiments (00:51:30) Multi-Omic Models (00:54:54) Scale and Grokking (01:00:53) Future House Projects (01:10:42) Paper QA Insights (01:16:28) Generalizing to Other Domains (01:17:57) Using Figures Effectively (01:22:01) Need for Specialized Tools (01:24:23) Paper QA Cost & Latency (01:27:37) Aviary: Agents & Environments (01:31:42) Black Box Gradient Estimation (01:36:14) Open vs Closed Models (01:37:52) Improvement with Training (01:40:00) Runtime Choice & Q-Learning (01:43:43) Narrow vs General AI (01:48:22) Future Directions & Needs (01:53:22) Future House: What's Next? (01:55:32) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://www.linkedin.com/in/nathanlabenz/ Youtube: https://www.youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

You set up an assumption, you have a theory, you analyze your data, and you show that the assumption does not hold. Doing good qualitative research is that simple. Except that it's not, of course. On the ground, in the research and writing process, these basic rules can be quite tricky to implement. So we discuss some heuristics researchers can use to limit their conversants, settle on suitable theoretical lenses to examine their data, and collecting more data than what they thought was necessary.   References Geertz, C. (1973). The Interpretation Of Cultures. Basic Books. Goodall, J. (1986). The Chimpanzees of Gombe: Patterns of Behavior. Harvard University Press. Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books. Durkheim, E. (1895). The Rules of Sociological Method. Free Press. Giddens, A. (1976). New Rules of Sociological Method. Hutchinson. Barley, S. R. (1986). Technology as an Occasion for Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments. Administrative Science Quarterly, 31(1), 78-108. Kellogg, K. C. (2022). Local Adaptation Without Work Intensification: Experimentalist Governance of Digital Technology for Mutually Beneficial Role Reconfiguration in Organizations. Organization Science, 33(2), 571-599. https://doi.org/10.1287/orsc.2021.1445 Mertens, W., Recker, J., Kummer, T.-F., Kohlborn, T., & Viaene, S. (2016). Constructive Deviance as a Driver for Performance in Retail. Journal of Retailing and Consumer Services, 30, 193-203. Markus, M. L. (1983). Power, Politics, and MIS Implementation. Communications of the ACM, 26(6), 430-444. Berente, N., Lyytinen, K., Yoo, Y., & King, J. L. (2016). Routines as Shock Absorbers During Organizational Transformation: Integration, Control, and NASA's Enterprise Information System. Organization Science, 27(3), 551-572. Alashoor, T., Keil, M., Smith, H. J., & McConnell, A. R. (2023). Too Tired and in Too Good of a Mood to Worry about Privacy: Explaining the Privacy Paradox through the Lens of Effort Level in Information Processing. Information Systems Research, 34(4), 1415-1436. Yin, R. K. (2009). Case Study Research: Design and Methods (4th ed.). Sage. Berente, N., Recker, J., & Leonardi, P. (2023). . This IS Research podcast, 13 September 2023. Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organizational Research Methods, 16(1), 15-31. Lebovitz, S., Levina, N., & Lifshitz-Assaf, H. (2021). Is AI Ground Truth Really “True”? The Dangers of Training and Evaluating AI Tools Based on Experts' Know-What. MIS Quarterly, 45(3), 1501-1525. Ryle, G. (1949). The Concept of Mind. University of Chicago Press. Langley, A. (1999). Strategies for Theorizing from Process Data. Academy of Management Review, 24(4), 691-711. Miles, M. B., & Huberman, M. (1994). Qualitative Data Analysis (2nd ed.). Sage. Cramton, C. D., & Hinds, P. J. (2014). An Embedded Model of Cultural Adaptation in Global Teams. Organization Science, 25(4), 1056-1081. 

In this episode, we delve into induction and deduction and talk further about issues related to generalizability.    Shownotes Popper, K. The Logic of Scientific Discovery. (1953). Hutchinson &  Co. (Originally published in 1935) Yarkoni, T. (2022). The generalizability crisis. Behavioral and Brain Sciences, 45, e1. Mook, D. G. (1983). In defense of external invalidity. American psychologist, 38(4), 379-387. Salmon, W. C. (1981). Rational Prediction. The British Journal for the Philosophy of Science, 32(2), 115–125. https://doi.org/10.1093/bjps/32.2.115 Reichenbach, H. (1938) [2006], Experience and Prediction: An Analysis of the Foundations and the Structure of Knowledge, Chicago: University of Chicago Press. Senn, S. (2007). Statistical issues in drug development (2nd ed). John Wiley & Sons. Ernst, M. D. (2004). Permutation Methods: A Basis for Exact Inference. Statistical Science, 19(4), 676–685.  Bacon, F. (1620). Instauratio magna [Novum organum]. London: John Bill. Urbach, P. (1982). Francis Bacon as a Precursor to Popper. The British Journal for the Philosophy of Science, 33(2), 113–132.  

Episode: 1273 Some surprises in the 1852 Annual of Scientific Discovery.  Today, an old book takes stock of science and art in 1852.

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS. Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.     In this episode of the Eye on AI podcast, we dive deep into the world of AI agents with Ece Kamar, VP of Research and Managing Director of AI Frontiers Lab at Microsoft.   Ece shares her unique insights on the future of AI, discussing how AI agents are reshaping the way we interact with technology and perform tasks.   Throughout the episode, Ece explains the groundbreaking potential of AI agents, describing how they act as autonomous entities that can perceive, learn, and carry out complex tasks in real time. She discusses the revolutionary shift from traditional AI models to agentic workflows, highlighting how multi-agent systems like Microsoft's AutoGen are creating scalable solutions for industries and everyday life. Ece also shares her thoughts on building responsible AI, touching on the ethical challenges and safety concerns that come with the rise of autonomous agents.   We explore how multi-agent systems can scale to millions of agents, and how they are transforming enterprises by automating complex workflows, personalizing customer experiences, and pushing the boundaries of AI development. Ece's perspective on the future of AI in scientific discovery, as well as her work in responsible AI, offers a thought-provoking glimpse into what lies ahead.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI, automation, and ethical tech!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview and Introduction (03:11) What Are AI Agents? (04:43) Building Responsible AI at Microsoft (10:55) The Rise of Agentic Workflows (12:30) Multi-Agent Systems and AutoGen (18:04) Scaling Multi-Agent Systems (20:22) The Creation and Evolution of AutoGen (23:07) Real-World Applications of AutoGen (25:52) Large-Scale Simulations with AI Agents (27:36) The Role of AI Agents in Scientific Discovery (31:20) AI Agents and Complex Reasoning (36:49) Challenges in Defining Agent Boundaries (39:12) The Risk of Agents Interacting with Each Other (43:59) Building Trustworthy and Safe AI Agents (48:44) Learning from Human Factors in Automation (50:50) Why Speed and Coordination Matter in AI Development (55:08) The Future of AI Agents in Enterprises (57:47) Low-Code/No-Code Development for AI Agents

World Intelligence Forum Notes: In this episode we will briefly address variegated Controversial New Scientific Avenues that are being explored as we move towards 2030.Curation: Frontiers Media: Pharmacology/Microphysiological Systems (Organs on Chips) [ AI ]for Scientific Discovery WEF-2024.

World Intelligence Notes: Artificial Intelligence for Scientific Discovery (KAIST) WEF-2024.World Economic Forum EducationCuration: Frontiers Media To support the [Show] and its [Research] with Donations, please send all funds and gifts to :$aigner2019 (cashapp) or https://www.paypal.me/Aigner2019 or Zelle (1-617-821-3168). Shalom Aleikhem!

Explore the captivating realm of brain research at UC San Diego with Frank Furnari, Ph.D., and Alexander Khalessi, M.D., M.B.A. Furnari and Khalessi delve into groundbreaking efforts to find new treatments for neurological conditions such as brain tumors, stroke, and brain injuries, bringing hope to patients and their families. Emphasizing ethics, innovation, and patient care, Furnari and Khalessi shed light on the challenges and successes in their quest to unravel the mysteries of the mind. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39723]

Explore the captivating realm of brain research at UC San Diego with Frank Furnari, Ph.D., and Alexander Khalessi, M.D., M.B.A. Furnari and Khalessi delve into groundbreaking efforts to find new treatments for neurological conditions such as brain tumors, stroke, and brain injuries, bringing hope to patients and their families. Emphasizing ethics, innovation, and patient care, Furnari and Khalessi shed light on the challenges and successes in their quest to unravel the mysteries of the mind. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39723]

Explore the captivating realm of brain research at UC San Diego with Frank Furnari, Ph.D., and Alexander Khalessi, M.D., M.B.A. Furnari and Khalessi delve into groundbreaking efforts to find new treatments for neurological conditions such as brain tumors, stroke, and brain injuries, bringing hope to patients and their families. Emphasizing ethics, innovation, and patient care, Furnari and Khalessi shed light on the challenges and successes in their quest to unravel the mysteries of the mind. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39723]

Explore the captivating realm of brain research at UC San Diego with Frank Furnari, Ph.D., and Alexander Khalessi, M.D., M.B.A. Furnari and Khalessi delve into groundbreaking efforts to find new treatments for neurological conditions such as brain tumors, stroke, and brain injuries, bringing hope to patients and their families. Emphasizing ethics, innovation, and patient care, Furnari and Khalessi shed light on the challenges and successes in their quest to unravel the mysteries of the mind. Series: "Stem Cell Channel" [Health and Medicine] [Science] [Show ID: 39723]

This episode is sponsored by Speechmatics. Check it out at www.speechmatics.com/realtime     In this episode of the Eye on AI podcast, host Craig Smith sits down with Thomas G. Dietterich, a pioneer in the field of machine learning, to explore the evolving landscape of AI and its application in real-world problems.   Thomas shares his journey from the early days of AI, where rule-based systems dominated, to the breakthroughs in deep learning that have revolutionized computer vision. He delves into the challenges of detecting novelty in AI, emphasizing the importance of teaching machines to recognize "unknown unknowns."   The conversation highlights the growing field of computational sustainability, where AI is used to solve pressing environmental problems, from designing new materials to optimizing wildfire management. Thomas also provides insights into the role of transformers and generative AI, discussing their power and limitations, particularly in tasks like object recognition and problem formulation.   Join us for a deep dive into the future of AI, where Thomas explains why the development of novel materials and drugs may have the most transformative impact on our economy. Plus, hear about his latest work on multi-instance learning, weak supervision, and the role of reinforcement learning in real-world applications like wildfire management.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest trends and insights in AI and machine learning!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Introduction to Thomas Dietterich's Machine Learning Journey (02:34) The Early Days of Machine Learning and AI Systems (04:29) Tackling the Multiple Instance Problem in Drug Design (05:41) AI in Sustainability (07:17) The Challenge of Novelty Detection in AI Systems (08:00) Addressing the Open Set Problem in Cybersecurity and Computer Vision (09:11) The Evolution of Deep Learning in Computer Vision (11:21) How Deep Learning Handles Novel Representations (12:01) Foundation Models and Self-Supervised Learning (14:11) Vision Transformers vs. Convolutional Neural Networks (16:05) The Role of Multi-Instance Learning in Weakly Labeled Data (18:36) Ensemble Learning and Deep Networks in Machine Learning (20:33) The Future of AI: Large Language Models and Their Applications (23:51) Symbolic Regression and AI's Role in Scientific Discovery (34:44) AI in Wildfire Management: Using Reinforcement Learning (39:32) AI-Driven Problem Formulation and Optimization in Industry (41:30) The Future of AI Reasoning Systems and Problem Solving (45:03) The Limits of Large Language Models in Scientific Research (50:12) Closing Thoughts: Open Challenges and Opportunities in AI  

Dr. Claire Pomeroy is a distinguished physician, educator, and advocate for healthcare reform. With an undergraduate and medical degree from the University of Michigan and an MBA from the University of Kentucky, Dr. Pomeroy has served on the medical faculties of the University of Kentucky, the University of Minnesota, and UC Davis, where she became the dean of the School of Medicine and is now professor emeritus. Her career has focused on addressing healthcare disparities, advocating for a proactive, preventative healthcare system that ensures equitable care for all populations, especially the underserved. Since June 2013, Dr. Pomeroy has been the president of the Albert and Mary Lasker Foundation, where she provides strategic leadership in promoting medical research and public advocacy. The Lasker Foundation is renowned for its prestigious annual awards that recognize groundbreaking achievements in medical science and public service. Under her leadership, the foundation continues to inspire scientific innovation and discovery worldwide. Her life experiences, including overcoming a difficult childhood in the foster care system, have shaped her deep commitment to healthcare equality and compassion for disadvantaged populations. Dr. Pomeroy's unique blend of scientific expertise, leadership, and advocacy continues to impact the field of medical research and healthcare reform.  

A ten-month scientific UAP study changed everything, with never-before-seen shocking UAP / UFO footage of the vehicles operating off the Long Island, New York coast, including incredible footage of a tic-tac UFO flying past an airliner. In this Good Trouble Show podcast, we interview Gerry Tedesco, John Tedesco, and Donna Lee Nardo, who will present new UFO / UAP footage from their experience with over 50 UAP / UFO encounters.With the recent book release by Lue Elizondo, Imminent, and his appearance on News Nation with Ross Coulthart and on Joe Rogan, UAPs / UFOs are back in the news; whistleblower revelations by former Pentagon employee David Grusch, Navy pilots David Fravor and Ryan Graves, along with new Congressional legislation on UFOs, The UAP Disclosure Act of 2024, authored by Senator Mike Rounds, and Senator Chuck Schumer. It's time for the disclosure discussion.Native Long Islander Gerald T. Tedesco is an electrical engineer who currently toils for a local aerospace firm after decades of helping U.S. defense corporations with his security clearance. Like his twin brother John, Gerald's passion for science, UAPs / UFOs, and the paranormal took root at a young age. He received a Baccalaureate of Science in Public Health and a Professional Certificate in Behavior Profiling and Investigative Analysis. He and his brother John designed a patented scientific instrument called a Modular Multi-Wavelength Light Source Engine. When not busy completing work and personal projects, Gerald is found happily spending quality time with his spouse, Sharon, and their daughter, Tiana.Native Long Islander John J. Tedesco is an electrical engineer and engineering educator/consultant who recently retired from a lengthy, rewarding career at Underwriters Laboratories Inc. (UL Solutions). Like his twin brother Gerald, John's passion for science, UAPs / UFOs, and the paranormal took root at a young age. He received a Baccalaureate of Science in Electrical and Electronics Engineering and a Master of Education in Career and Technical Education. Along with his brother Gerald, he designed a patented scientific instrument called a Modular Multi-Wavelength Light Source Engine. John enjoys entertaining and enlightening his friends, family, and neighbors in his spare time.A Native Long Islander and New Yorker, Donna Lee Nardo is a journalist, investigator, researcher, and strategic communications pro with a keen interest in science, technology, UAPs / UFOs, and the paranormal. She holds a Baccalaureate of Arts with twin Communications and Political Science majors. Donna's career experience reflects the richness of multiple disciplines, including Private Investigation, Publishing, Corporate Communications, Public Affairs, Technology, Finance, Government, Professional Services, and PR. Her lifelong pursuit of questioning and chasing after nature's many mysteries remains insatiable. Donna schedules downtime to cuddle with her pets, write short stories, and create digital art.The Good Trouble Show: Linktree:  https://linktr.ee/thegoodtroubleshowPatreon: https://www.patreon.com/TheGoodTroubleShow YouTube: https://www.youtube.com/@TheGoodTroubleShow Twitter / X: https://twitter.com/GoodTroubleShow Instagram: @goodtroubleshow TikTok: https://www.tiktok.com/@goodtroubleshow Facebook: https://www.facebook.com/The-Good-Trouble-Show-With-Matt-Ford-106009712211646Threads:  @TheGoodTroubleShowBlueSky: @TheGoodTroubleShowBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-good-trouble-show-with-matt-ford--5808897/support.

Did you know that when you spend time on an online platform, you could be experiencing between six to eight different experimental treatments that stem from several hundred A/B tests that run concurrently? That's how common digital experimentation is today. And while this may be acceptable in industry, large-scale digital experimentation poses some substantial challenges for researchers wanting to evaluate theories and disconfirm hypotheses through randomized controlled trials done on digital platforms. Thankfully, the brilliant has a new paper forthcoming that illuminates the orthogonal testing plane problem and offers some guidelines for sidestepping the issue. So if experiments are your thing, you really need to listen to what is really going on out there. References Abbasi, A., Somanchi, S., & Kelley, K. (2024). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, . Miranda, S. M., Berente, N., Seidel, S., Safadi, H., & Burton-Jones, A. (2022). Computationally Intensive Theory Construction: A Primer for Authors and Reviewers. MIS Quarterly, 46(2), i-xvi. Karahanna, E., Benbasat, I., Bapna, R., & Rai, A. (2018). Editor's Comments: Opportunities and Challenges for Different Types of Online Experiments. MIS Quarterly, 42(4), iii-x. Kohavi, R., & Thomke, S. (2017). The Surprising Power of Online Experiments. Harvard Business Review, 95(5), 74-82. Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. Pienta, D., Vishwamitra, N., Somanchi, S., Berente, N., & Thatcher, J. B. (2024). Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. MIS Quarterly, . Bapna, R., Goes, P. B., Gupta, A., & Jin, Y. (2004). User Heterogeneity and Its Impact on Electronic Auction Market Design: An Empirical Exploration. MIS Quarterly, 28(1), 21-43. Somanchi, S., Abbasi, A., Kelley, K., Dobolyi, D., & Yuan, T. T. (2023). Examining User Heterogeneity in Digital Experiments. ACM Transactions on Information Systems, 41(4), 1-34. Mertens, W., & Recker, J. (2020). New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research. Journal of the Association for Information Systems, 21(4), 1072-1102. GRADE Working Group. (2004). Grading Quality of Evidence and Strength of Recommendations. British Medical Journal, 328(7454), 1490-1494. Abbasi, A., Parsons, J., Pant, G., Liu Sheng, O. R., & Sarker, S. (2024). Pathways for Design Research on Artificial Intelligence. Information Systems Research, 35(2), 441-459. Abbasi, A., Chiang, R. H. L., & Xu, J. (2023). Data Science for Social Good. Journal of the Association for Information Systems, 24(6), 1439-1458. Babar, Y., Mahdavi Adeli, A., & Burtch, G. (2023). The Effects of Online Social Identity Signals on Retailer Demand. Management Science, 69(12), 7335-7346. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75-105. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291. Benbasat, I., & Zmud, R. W. (2003). The Identity Crisis Within The IS Discipline: Defining and Communicating The Discipline's Core Properties. MIS Quarterly, 27(2), 183-194. Gregor, S., & Hevner, A. R. (2013). Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly, 37(2), 337-355. Rai, A. (2017). Editor's Comments: Avoiding Type III Errors: Formulating IS Research Problems that Matter. MIS Quarterly, 41(2), iii-vii. Burton-Jones, A. (2023). Editor's Comments: Producing Significant Research. MIS Quarterly, 47(1), i-xv.  Abbasi, A., Dillon, R., Rao, H. R., & Liu Sheng, O. R. (2024). Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers. Information Systems Research, 35(2), 460-468.

Guest: Dr. Jeremy Werdell, Oceanographer at NASA's Goddard Space Flight CenterFrom the smallest plankton to the grandest cloud formations, the PACE mission is poised to capture the breathtaking complexity of Earth's interconnected ecosystems. PACE stands for Plankton, Aerosol, Cloud, ocean Ecosystem. It's a mission that transcends mere scientific curiosity; it's a rallying cry in the face of our planet's most urgent environmental challenges. By unraveling the mysteries of Earth's ecosystems, PACE equips us with the knowledge and tools needed to confront these challenges head-on. On the show today, we have Project Scientist Dr. Jeremy Werdell to break down the mission and why it's so important for the future of our planet…Chapters00:00 Introduction to the PACE Mission06:16 The Importance of Studying Sea and Sky07:42 Aerosols: Understanding Atmospheric Particles14:51 Clouds: Their Role in Climate and Interactions20:35 Instruments of the PACE Mission26:34 Early Success and Data Release34:27 Looking Ahead: Discovery and InterconnectednessSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Forgive the clickbait title. The episode should probably actually be called "The (Lack of) Problem of Induction" because we primarily cover Popper's refutation of induction in C&R Chapter 8. This episode starts our deep dive into answering the question "What is the difference between a good philosophical explanation and a bad explanation?" To answer that question we go over Karl Popper's "On the Status of Science and of Metaphysics" from his book Conjectures and Refutations Chapter 8. In this chapter Popper first explains why he believes 'there is no such thing as induction' (from page 18 of Logic of Scientific Discovery) by offering his historical and logical refutation of induction. In this episode we go over Popper's refutation of induction in chapter 8 of C&R in detail and then compare it to Tom Mitchell's (of Machine Learning fame) argument of the 'futility of bias free learning.' We show that Mitchell's and Popper's arguments are actually the same argument even though Mitchell argues for the existence of a kind of induction as used in machine learning. Bruce argues that the difference is not a conceptual or theoretical difference but just a difference in use of language and that the two men are actually conceptually fully in agreement. This makes machine learning both a kind of 'induction' (though not the kind Popper refuted) and also gives machine learning an interesting and often missed relationship with critical rationalism. Then Bruce asks the most difficult question of all: "Is there anyone out there in the world other than me that is interested in exploring how to apply Karl Popper's epistemology to machine learning like this?" You can find a copy of Mitchell's text here if you want to check out his argument for the futility of bias free learning for yourself. As I mention in the podcast, I'm shocked Critical Rationalists aren't referencing Mitchell's argument constantly because it is so strongly critical rationalist in nature. But the whole textbook is just like this. --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

In this episode of Discover Daily by Perplexity, we explore groundbreaking developments in prime number theory that could reshape our understanding of mathematics and impact internet security. Mathematicians James Maynard and Larry Guth have made significant progress towards understanding the hidden structure of prime numbers, providing new insights into the famous Riemann Hypothesis. Their work improves bounds on where the nontrivial zeros of the Riemann zeta function cannot lie, crucial for understanding prime number distribution.Meanwhile, researchers from City University of Hong Kong and North Carolina State University claim to have developed a "Periodic Table of Primes" (PTP), challenging the long-held belief that prime numbers are unpredictable. This innovative approach claims to accurately predict the occurrence of prime numbers, with potential applications in finding future primes, factoring integers, and identifying twin primes. While still awaiting peer review, this breakthrough could have far-reaching implications for cryptography and data security.These advancements in prime number theory highlight the unexpected ways abstract mathematics can impact our daily lives. From enhancing internet security to advancing quantum physics, prime numbers continue to play a crucial role in shaping our digital world and pushing the boundaries of scientific knowledge. As mathematicians inch closer to resolving long-standing conjectures like the Riemann Hypothesis, we may be on the brink of a new era in number theory and its applications.Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Try SimTheory Beta: https://simtheory.ai/chatShow Notes: https://thisdayinai.com/bookmarks/63-ep70Join our community: https://thisdayinai.comMerch: https://www.thisdayinaimerch.com/=====Thanks for listening!=====CHAPTERS:00:00 - It's good to be back...04:12 - Chris's Learnings From Playing Poker Using AI32:11 - Initial thoughts on GPT-4o Mini from OpenAI44:15 - Mistral's NeMo55:01 - Codestral Mamba1:04:48 - MathΣtral: Scientific Discovery or BS?1:12:59 - New Models on LMSYS: Column-r Column-u, Eureka by Google1:09:22 - BOOM FACTOR for new models1:16:39 - JD Vance Doesn't Want AI Regulatory Capture1:18:41 - Final thoughts

(0:50) - To Heal Skin, Scientists Invent Living Bioelectronics Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

People started adding iodine to salt because in some parts of the world serious, chronic iodine deficiency was incredibly widespread, which was causing a range of health issues. But how was that solution arrived at? Research: "Iodine." World of Chemistry, Gale, 2000. Gale In Context: Science, link.gale.com/apps/doc/CV2432500388/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=42a73bea. Accessed 17 May 2024. "Iodine." World of Scientific Discovery, Gale, part of Cengage Group, 2007. Gale In Context: Science, link.gale.com/apps/doc/CV1648500324/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=fabf4422. Accessed 17 May 2024. Bishai, David and Ritu Nalubola. “The History of Food Fortification in the United States: Its Relevance for Current Fortification Efforts in Developing Countries.” Economic Development and Cultural Change , Vol. 51, No. 1 (October 2002). https://www.jstor.org/stable/10.1086/345361 Cameron, A.T. “Iodine Prophylaxis and Endemic Goitre.” Canadian Public Health Journal, Vol. 21, No. 11 (NOVEMBER, 1930). Via JSTOR. https://www.jstor.org/stable/41976052 Cameron, A.T. “Iodine Prophylaxis and Endemic Goitre.” Canadian Public Health Journal, Vol. 21, No. 10 (OCTOBER, 1930). Via JSTOR. https://www.jstor.org/stable/41976030 Cavanaugh, Ray. “How the arrival of iodized salt 100 years ago changed America.” Washington Post. 5/1/2024. https://www.washingtonpost.com/history/2024/05/01/iodized-salt-100-years-deficiency/ Feyrer, James et al. “The Cognitive Effects of Micronutrient Deficiency.” Journal of the European Economic Association, April 2017. Via JSTOR. https://www.jstor.org/stable/10.2307/90023421 Goodman, Johnah. “A National Evil: Jonah Goodman on the curse of the goitre in Switzerland.” London Review of Books. 11/30/2003. https://www.lrb.co.uk/the-paper/v45/n23/jonah-goodman/a-national-evil Kimball, O.P. “History of the Prevention of Endemic Goitre.” Bulletin of the World Health Organization. 1953. Kohn, Lawrence. “Goiter, Iodine and George W. Goler: The Rochester Experiment.” Bulletin of the History of Medicine, Vol. 49, No. 3 (FALL, 1975). Via JSTOR. https://www.jstor.org/stable/44450239 Leung, Angela M et al. “History of U.S. iodine fortification and supplementation.” Nutrients vol. 4,11 1740-6. 13 Nov. 2012, doi:10.3390/nu4111740 Markel, H. “'When it rains it pours': endemic goiter, iodized salt, and David Murray Cowie, MD.” American journal of public health vol. 77,2 (1987): 219-29. doi:10.2105/ajph.77.2.219 Markel, Howard. “A grain of salt.” The Milbank quarterly vol. 92,3 (2014): 407-12. doi:10.1111/1468-0009.12064 McIntire, Tracey. “Gunpowder and Seaweed: The Story of Iodine.” National Museum of Civil War Medicine. 10/19/2022. https://www.civilwarmed.org/story-of-iodine/ Newton, David E. "Iodine." Chemical Elements, edited by Kathleen J. Edgar, 2nd ed., UXL, 2010. Gale In Context: Science, link.gale.com/apps/doc/CV2640200041/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=a54dec8e. Accessed 17 May 2024. Niazi, Asfandyar Khan et al. “Thyroidology over the ages.” Indian journal of endocrinology and metabolism vol. 15,Suppl 2 (2011): S121-6. doi:10.4103/2230-8210.83347 Olsen, Robert. “Endemic Goiter in Switzerland: A Review of Recent Contributions to Its Etiology, Incidence, and Prevention.” Public Health Reports (1896-1970) , Jun. 9, 1933. Via JSTOR. https://www.jstor.org/stable/4580807 Pearce, Elizabeth N. “Is Iodine Deficiency Reemerging in the United States?” AACE Clinical Case Reports. Volume 1, Issue 1, Winter 2015. https://www.sciencedirect.com/science/article/pii/S2376060520303680 Stanbury, John, and John T. Dunn. "Iodine." Encyclopedia of Food and Culture, edited by Solomon H. Katz, vol. 2, Charles Scribner's Sons, 2003, pp. 281-283. Gale In Context: U.S. History, link.gale.com/apps/doc/CX3403400349/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=12f688cc. Accessed 17 May 2024. Zimmermann, Michael B. and Maria Andersson, GLOBAL ENDOCRINOLOGY: Global perspectives in endocrinology: coverage of iodized salt programs and iodine status in 2020, European Journal of Endocrinology, Volume 185, Issue 1, Jul 2021, Pages R13–R21, https://doi.org/10.1530/EJE-21-0171 Zoltan, Melanie Barton. "Salt." Food: In Context, edited by Brenda Wilmoth Lerner and K. Lee Lerner, vol. 2, Gale, 2011, pp. 699-702. In Context Series. Gale In Context: Global Issues, link.gale.com/apps/doc/CX1918600212/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=21e3cd86. Accessed 17 May 2024. See omnystudio.com/listener for privacy information.

What would a wormhole actually look like? Neil deGrasse Tyson and comedian Chuck Nice break down a grab bag of questions about nothingness, the nature of miracles, the role of AI in scientific discovery and more!NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free.Thanks to our Patrons Alan j weiner, Eric DeCarlo, Christian Sava, Joseph Eugene Renner, Nathan Neal, Chandra Cirulnick, and Craig I Hounsell for supporting us this week.