The Academic Minute

Academic Minute
  • 5.0(1개의 평가)
  • 교육
  • 매주 업데이트

Astronomy to Zoology www.academicminute.org

  1. 15시간 전

    Katherine Wilkinson, San Jose State University – Proprioception

    Understanding how your body senses muscle movement is essential for balance. Katherine Wilkinson, professor of biology at San Jose State University, examines how it works. Katherine Wilkinson is a Professor of biology at San José State University in San Jose, California. Wilkinson’s specialty is studying and understanding proprioception–how our brains understand our physical presence in […] This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

  2. 1일 전

    Sonia Villapol, Houston Methodist Research Institute - Trust Your Gut to Heal Your Brain

    Can you trust your gut to heal your brain? Sonia Villapol, associate professor and neuroscientist at the Center for Neuroregeneration and the Department of Neurosurgery at the Houston Methodist Research Institute, delves into the microbiome. Faculty Bio: Dr. Sonia Villapol is an Associate Professor and neuroscientist at the Center for Neuroregeneration and the Department of Neurosurgery, Houston Methodist Research Institute (Houston, TX). She received her B.Sc. in Molecular Biology and Biotechnology from the University of Santiago de Compostela (2003) and completed an M.Sc. and Ph.D. in Neuroscience at the Autonomous University of Barcelona (2007). She pursued postdoctoral research at the CNRS–Université Pierre et Marie Curie (VI) and INSERM in Paris, and later at the National Institutes of Health/Center for Neuroscience and Regenerative Medicine and the Uniformed Services University in Bethesda, MD. In 2014 she joined Georgetown University as a Research Assistant Professor of Neuroscience, moving to HMRI in 2018.Dr. Villapol’s work, funded by the NIH, Department of Defense, and private foundations, investigates mechanisms of neuroinflammation and neurodegeneration across AD and TBI models, the brain–gut axis, and the development of neurorestorative drug-delivery systems. She has published more than 80 peer-reviewed articles and book chapters. Transcript: Brain injuries and neurodegenerative disorders such as Alzheimer’s disease remain some of the greatest challenges in modern medicine. My research is centered on understanding how inflammation, the immune system, and the gut microbiome interact to shape brain health after injury and during disease progression. When the brain experiences trauma, such as a traumatic brain injury, the damage extends far beyond the initial event. The injury triggers a cascade of biological responses that includes immune activation, metabolic dysfunction, and communication among multiple organs, particularly the brain, liver, and gut. This interconnected network, often described as the gut-brain axis, plays a critical role in regulating inflammation, recovery, and long-term neurological outcomes. In our laboratory, we investigate how signals derived from the microbiome influence the brain’s immune environment and how these interactions can amplify or prolong neuroinflammation after injury. We are especially interested in understanding how these processes may contribute to neurodegenerative conditions such as Alzheimer’s disease, where chronic inflammation is believed to accelerate disease progression. To address these questions, our work combines a wide range of approaches, including animal models, clinical research, microbiome sequencing, integration of personalized data using AI, advanced imaging, and nanomedicine. One major focus is the development of targeted nanomedicine therapies that deliver treatments directly to specific brain cells involved in inflammation and tissue damage. At the same time, we are exploring whether modulating the microbiome through diet, probiotics, or related strategies can help restore balance to the gut-brain axis and promote recovery after injury. By integrating microbiology, neuroscience, and biomedical engineering, we aim to uncover new mechanisms and identify innovative therapeutic opportunities. Ultimately, our goal is to translate this knowledge into more effective treatments that protect the brain, reduce long-term damage, and improve patient outcomes. The future of brain health may depend not only on treating the brain itself, but on understanding the entire biological system that supports it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    Sonia Villapol, Houston Methodist Research Institute - Trust Your Gut to Heal Your Brain

  3. 2일 전

    Angeline S. Lillard, Virginia Tech - Montessori Schools Lead to Better Outcomes at Lower Cost

    How do we get better outcomes at lower cost for preschool children? Angeline S. Lillard, Commonwealth professor of psychology at the University of Virginia, explores one option. Faculty Bio: Angeline S. Lillard is the Commonwealth Professor of Psychology at the University of Virginia where she directs the Early Development Laboratory and the Montessori Science Program; her research focuses on children’s play and Montessori education. She is an elected Fellow of the American Association for the Advancement of Science, the American Psychological Association, and the Association for Psychological Science, and Chief Editor of Frontiers in Developmental Psychology. She received her PhD in Psychology from Stanford University in 1991, and the American Psychological Association’s Boyd McCandless Award for her early career contributions to Developmental Science. Her book, Montessori: The Science Behind the Genius (Oxford University Press) received the Cognitive Development Society Book Award, is translated into several languages, and is currently in its 3rd edition. She has been keynote speaker at dozens of Psychology and Montessori conferences worldwide. Her research has been funded by the Institutes of Education Sciences, the National Science Foundation, the National Institutes of Health, and many private foundations. Transcript: Preschool has been around for over a century, but we can't seem to settle on the best models to use--entirely free play, or dive into academics. New research shows the Montessori method yields better outcomes at lower cost. The study followed for 3 years 588 children who had entered a random lottery for a seat at one of 24 public Montessori schools across the country. About a third won a spot, and the rest were waitlisted. The children were no different on outcomes at baseline when they started pre-K, nor were they different at the end of PK3 or PK4. But at ages 5-6, several differences emerged, and the effects were large. First, children who attended Montessori were better readers; specifically, a child who would have scored at the 50th percentile in reading at a traditional school would have scored at the 71st percentile had they attended Montessori. Children who got into Montessori also had better executive function, short-term memory and social understanding at the end of kindergarten. And the cost savings were $13,127 per child as compared to traditional PK3 through kindergarten programs--a savings that would really add up across all the 3- to 6-year-olds in a district. This is not the first study to show better outcomes from Montessori--other randomized controlled trials (RCTs) and two meta-analyses done in 2023 all come to the same conclusion.Why isn't there more of this model? One reason may be that there are many poor exemplars. Real Montessori has 3-year age groupings, and teachers give children structured lessons on how to use hundreds of hands-on materials Dr. Maria Montessori and her collaborators developed to convey learning, and then children freely explore those materials with their peers, without grades, and without teachers dictating their schedules. Bridging play and work, the public Montessori preschool model yields better outcomes, at lower cost. Read More: [PNAS] - A national randomized controlled trial of the impact of public Montessori preschool at the end of kindergarten This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

  4. 3일 전

    Marcos Fernandez-Tous, University of North Dakota - AI is Making Spacecraft Propulsion More Efficient

    Can AI make spacecraft propulsion more efficient? Marcos Fernandez-Tous, associate professor of space propulsion and hypersonic aerodynamics at the University of North Dakota, discusses this topic. Faculty Bio: I currently coordinate the Space Studies Propulsion Lab within the Department of Space Sciences and offer courses on space propulsion, air-breathing engines, and hypersonic aerodynamics. My teaching emphasizes project-based learning and follows the Innovation-Based Learning methodology.I hold a Ph.D. in Space Sciences from the University of North Dakota, where my dissertation focused on developing a novel synchronization protocol for unmanned aerial vehicles (UAVs). Additionally, I earned an M.S. in Aeronautical Engineering with a specialization in Air Traffic Management from the Polytechnic University of Madrid, Spain, completing a thesis on GPS-based approach procedures for Palma de Mallorca Airport.My research focuses on interdisciplinary approaches to integrating artificial intelligence technologies to advance space propulsion development. Beyond academia, I actively contribute to the community of Grand Forks, where I have resided since 2018. Transcript: Every year, hundreds of rockets are launched into space, with numbers rising as missions to the Moon, Mars, and beyond become the new reality. But these ambitions depend on propulsion—the technology that moves spacecraft forward. Breakthroughs in this technology are essential to make interplanetary travel faster and more efficient, and artificial intelligence is emerging as a key enabler for that.One branch of AI, reinforcement learning, teaches machines through trial and error, improving performance by interpreting outcomes and adjusting strategies. This capability is particularly valuable for complex systems that exceed human intuition, such as propulsion systems design. Reinforcement Learning can optimize flight paths to minimize fuel use and travel time, or it can assist engineers by analyzing countless variables—materials, geometry, and heat transfer—to identify configurations that maximize efficiency.Nuclear propulsion is among the most promising concepts for deep-space missions. Fission-based systems have been tested before, while fusion remains a frontier. Nuclear thermal propulsion, which transfers heat from atomic reactions to hydrogen propellant, could dramatically reduce travel time compared to conventional propulsion. Reinforcement Learning supports this technology by optimizing reactor designs, such as those explored since NERVA program at NASA in the 60s and 70s.Beyond design, Reinforcement Learning can manage real-time operations, including fuel consumption for adaptable missions. This flexibility is critical for spacecraft that must respond to changing priorities, such as military or multi-role satellites. The ability of Reinforcement Learning to learn and adapt makes it a powerful tool for addressing uncertainty in mission planning.As propulsion technologies evolve, AI—and derivative tools such as reinforcement learning—will play a central role in enabling faster, safer, and more sustainable space exploration, opening pathways to destinations across and beyond our solar system. Read More: [The Conversation] - AI is making spacecraft propulsion more efficient – and could even lead to nuclear‑powered rockets This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

  5. 6일 전

    Dana Cusano, Syracuse University - Finding Whales Before It's Too Late

    Despite efforts to avoid it, vessel collisions are still hindering conservation efforts for whales. Dana Cusano, research assistant professor in the Department of Biology at Syracuse University, explores what changes can occur. Faculty Bio: Dana Cusano is a bioacoustician and behavioral ecologist whose research focuses primarily on the acoustic behavior of marine mammals. Her interests include the use of vocal signaling in animals and the link between vocalizations and behavior. Specifically, she is interested in the social interactions between individuals and how arousal may be reflected in acoustic signals. Past research has also centered on investigating the movement of animals in response to anthropogenic disturbance with the use of animal movement models.Currently, Dana’s research involves studying the acoustic and movement behavior of sei whales, North Atlantic right whales, and humpback whales with the use of biologging tags. Transcript: Many whale species feed in Massachusetts Bay and Stellwagen Bank National Marine Sanctuary, but two face an especially urgent threat: the critically endangered North Atlantic right whale, with only about 384 left, and the endangered sei whale, a species we know very little about. Both can be found close to shore and in heavily populated areas. They also often feed on the same prey near the surface where they are difficult to see, putting them at high risk for vessel collisions, or ship strikes, one of the most serious threats large whales face.Decades of conservation efforts have worked to reduce maximum speeds during specific times of year, and even to shift shipping lanes to avoid critical habitats. Despite this, ship strikes remain one of the leading causes of death and injury to right whales — and the number of sei whales struck in the North Atlantic appears to be increasing and is likely underestimated.A better understanding of what conditions increase that risk, and how to prevent collisions, is critical. My research uses suction-cup tags attached to whales in Massachusetts Bay and the Stellwagen Bank National Marine Sanctuary to understand how they move near the surface and underwater while they feed in this important spring-time foraging habitat. These data are combined with information on prey to build models that can identify and predict foraging hot spots — areas where feeding whales are likely to aggregate.Using remote-sensing technology, we can identify these hot spots from space even before whales are detected in the area. That information is then pushed as alerts to vessels using the global Automatic Identification System network and to vessel operators in the app WhaleAlert — so mariners can respond before it’s too late. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    Dana Cusano, Syracuse University - Finding Whales Before It's Too Late

  6. 8월 20일

    Ryan Griffiths, Syracuse University - The Case Against Breaking Up America Why Secession Would Make Things Worse, Not Better

    Would secession work in America? Ryan Griffiths, professor in the Department of Political Science at Syracuse University, looks into why or why not. Faculty Bio: Ryan Griffiths focuses on the dynamics of secession and the study of sovereignty, state systems, and international order. He teaches a variety of courses in international relations. His two recent books include: (1) The Disunited States: Threats of Secession in Red and Blue America and Why They Won’t Work (Oxford University Press, 2025); and (2) Before Colonization: Non-Western States and Systems in the Nineteenth Century (Columbia University Press, 2025, with Charles Butcher). Previously, he taught at both the University of Sydney in Australia and at John Hopkins University. He earned a Ph.D. in international relations and comparative politics at Columbia University in 2010. Transcript: There is a growing interest in secession between Red and Blue America. A 2023 Axios poll found that 20% of Americans support a national divorce, and a 2025 Times/Siena poll found that 64% of Americans think the country is too politically divided to solve the nation’s problems.The key factor driving this interest in secession is polarization. Whether it is the Red-State secessionists, the California Independence Party, or the Texas Nationalists, they all point to unstoppable polarization and political dysfunction as the reason secession is necessary. Secession occurs when part of a sovereign state breaks away to form its own recognized sovereign state. In my research, I argue that while polarization is a serious problem in America, secession is not the solution. Roughly half of secessionist movements turn violent, and most of them fail to gain independence. When they do secede peacefully, it is when specific conditions hold: there is a distinct and regionally concentrated nation, with clear internal borders, and a special administrative status that justifies why that nation can secede when others cannot. None of these conditions hold in America.The attempt to divide America into two or more countries would almost certainly produce great violence. The so-called red and blue populations are intermixed. Trying to unmix that population and would create a cascade of hyper-polarization and ideological conflict. I argue that rather than turning to secession as a solution to America’s problems, the better choice is to target the roots of polarization and seek common ground. Read More: [Oxford University Press] - The Disunited States [Columbia University Press] - Before Colonization Non-Western States and Systems in the Nineteenth Century This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

  7. 8월 19일

    Lawrence Chua, Syracuse University - Architecture as Chronopolitical Infrastructure

    How space are designed can lead to longer wait times for some. Lawrence Chua, associate professor of Architectural History at Syracuse University, explores why. Faculty Bio: Lawrence Chua is a historian of the modern built environment with an emphasis on the trans-regional histories of Asian architecture and urban cultures. He is the author of Bangkok Utopia: Modern Architecture and Buddhist Felicities, published in the University of Hawai’i Press’ Spatial Habitus series in 2021. His current research project, “Untimely Interventions,” investigates the ways modern architecture structured colonial and nationalist perceptions of time and sovereignty in Thailand, Cambodia, and Laos from 1893 to 1958. The study frames modern built-forms as “chronopolitical infrastructure”—material sites where the historical consciousness and territorial logic of empire were actively constructed. Through archival and field-based research, it examines temples, museums, monuments, and exposition pavilions as mediated structures through which colonial powers and indigenous regimes shaped national imaginaries. Dr. Chua is also writing a history of “mid-century modern” architecture from the perspective of the 1955 Afro-Asian Conference at Bandung and editing a collection of translations of primary source documents from the early history of the architectural profession across Asia. Dr. Chua’s scholarship has also appeared in the Journal of the Society of Architectural Historians, October, the Journal of Urban History, Fabrications, the Journal of Architecture, Traditional Dwellings and Settlements Review, and Southeast of Now. He currently serves on the editorial board of the Journal of the Society of Architectural Historians. He is co-editor of the ArchAsia book series for Hong Kong University Press. He also serves as co-chair of the Race and Architectural History Affiliate Group of the Society of Architectural Historians.Dr. Chua was most recently a scholar in residence at the Center for Southeast Asian Studies, Kyoto University. He has been a Marie S. Curie Junior Fellow at the Freiburg Institute for Advanced Studies at the Albert-Ludwigs-Universität and a research fellow at the Getty Research Institute, the Center for Khmer Studies, and the International Institute of Asian Studies at Universiteit Leiden. At Syracuse University, he teaches courses in the histories of global modern architecture, Chinese architecture, Buddhist architecture, postcolonial utopias, and monuments, memory, and melancholia. As a Faculty Fellow in the Special Collections Research Center 2024-2025, he developed a course on the spatial histories of LGBTQ+ communities in Syracuse. Dr. Chua has taught courses in the history and theory of architecture and urbanism as well as studio courses at Hamilton College, New York University, and Chulalongkorn University. He received his PhD in the History of Architecture and Urban Development from Cornell University in 2012. In addition to his scholarship and teaching, he is a founding board member with the artists Julie Mehretu and Paul Pfeiffer, of Denniston Hill, a not-for-profit arts center. Transcript: What if power isn’t just exercised through space—borders, buildings, highways—but through time itself?Take an airport terminal. Its long corridors are designed around an ideal walking speed. Security checkpoints create waiting as an architectural condition—ropes, scanners, holding areas. Departure gates synchronize passengers to global time zones, while detention rooms and passport control stretch time into hours or days for others. And from above, the control tower coordinates it all.This is chronopolitical infrastructure: architecture that organizes who moves quickly, who waits, and whose time is valued. The same building can accelerate executives through priority lanes while slowing migrants, service workers, or asylum seekers through layered delays.During the twentieth century, architects and planners increasingly designed buildings around political timelines—speed, efficiency, productivity, and development. Those assumptions hardened into concrete, circulation paths, and zoning codes.Seeing architecture as chronopolitical infrastructure reminds us that time is not abstract, it’s designed. And if time has been designed to serve power, it can also be redesigned to support care, repair, and more just futures. Read More: [Taylor & Francis] - Perfecting Siam: Sovereignty, Sacred Space, and Territory at Wat Rachathiwat [University of California Press] - A Tale of Two Crematoria: Funeral Architecture and the Politics of Representation in Mid-Twentieth-Century Bangkok This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

  8. 8월 18일

    Jason Davis, Syracuse University - Does This Person Even Exist?

    Are you talking to a real person? How do you know? Jason Davis, research professor and co-director of the Newhouse Synthetic Media Lab at Syracuse University, examines these questions. Faculty Bio: Dr. Jason Davis is a research professor in the office of Research and Creative Activity at the S.I. Newhouse School of Public Communications and co-director of both the Newhouse Synthetic Media Lab and the Emerging Insight Lab. At Syracuse University, Dr. Davis research focuses on the development of AI tools for the detection of synthetic media and disinformation well as STEM focused communication and professional development.Prior to joining Syracuse University, Dr. Davis was director of Business Development and Operations at the Center for Biotechnology and Interdisciplinary Studies at Rensselaer Polytechnic Institute where he developed research partnerships in the area of upstream and downstream biologics manufacturing and served as Academic co-chair for the National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) workforce development committee. Prior to RPI, he served as global training and development leader at General Electric’s Global Research Center, and as a principal scientist leading research efforts in water purification technologies, CO2 capture, nano-particle drug delivery and DNA and RNA stabilization technology. Prior to his role at GE, Davis was a Senior Research Scientist at Curia Global where his research focused on drug discovery in the areas of oncology, Alzheimer’s disease, and diabetes.Davis’s current research focuses on the detection of misinformation and disinformation using AI/ML tools and the development of detection systems for synthetic media including text, images, audio and video as well as explainability frameworks for AI and Human-in-the-Loop decision making.Dr. Davis holds more than 10 patents in the areas of diabetes, water purification technology, anti-fouling coatings, and RNA sample stabilization technology.Davis earned a Ph.D. in Chemistry from McGill University, and a B.Sc. in Biochemistry (with honors) from Laurentian University. Transcript: Over the past year my collaborator Dr. Gina Luttrell and I have been asking a deceptively simple question: Can humans still tell if a person even exists? To answer this question, we first wanted to find out if people could tell when a short profile was written by a machine rather than a human. To find out, we assembled one hundred profiles, half authored by real journalism students and subject matter experts, and half generated by four different large language models. We asked people to read the profiles and label them as “human” or “synthetic.” The result was striking. Participants were correct only 54% of the time, just a shade above the 50% level that equates to random guessing.At the same time, we built an AI detector trained on a separate set of 3,000 profiles. When we ran that detector over the same hundred profiles, it correctly identified 46 of the 50 synthetic profiles and 42 of the 50 human profiles, for an overall accuracy of 88%. What do these numbers tell us? First, as large language models become more fluent, human heuristics, or the gut reactions we take for granted, for spotting deception erode quickly. Second, with the arrival of generative AI, the need to determine if something is real or synthetic represents a new layer of complexity for humans to navigate. Our research suggests breaking this task into three distinct components can help: The first is Detection: Is the content human-generated or synthetic? Second is Attribution: Is it coming from who it says it’s coming from? Finally, Characterization: What is the intent? Is it malicious deception, genuine content, or something in between?By developing robust, trained AI analytics with clear, human readable evidence, we can assist humans with the first two tasks and help preserve digital trust and transparency. This lets us return to the deeply human task of deciding if the content is good or bad and what to do about it.As AI creates new challenges in digital trust and transparency, it also illuminates a broader reality: that perhaps the safest path forward is collaboration, not competition, between humans and machines. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

모두 보기(1천개)

소개

Astronomy to Zoology www.academicminute.org

정보

  • 제작진
    Academic Minute
  • 방송 연도
    2015년 - 2026년
  • 에피소드
    1천
  • 등급
    전체 연령 사용가
  • 저작권
    © Academic Minute
  • 웹사이트 보기
    The Academic Minute

WAMC Northeast Public Radio의 콘텐츠 더 보기

좋아할 만한 다른 항목