Episódios

  • Guest Michael Greicius is an authority on Alzheimer’s disease. He makes the case that while effective treatments have remained elusive, there are high hopes for new approaches that target tau proteins in the brain associated with the disease. In the meantime, to reduce Alzheimer’s risk stay active, eat well, and manage circulatory risks, but skip genetic testing for now until better treatments emerge, Greicius tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Michael Greicius

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Michael Greicius, a professor of neurology and neurological sciences at Stanford University.

    (00:02:12) Understanding Alzheimer's Disease

    The roles of amyloid and tau proteins in Alzheimer's disease.

    (00:04:53) Challenges in Developing Treatments

    The multiple hurdles in creating Alzheimer's therapies.

    (00:09:07) Current Alzheimer's Drugs

    The controversies and limitations of recently approved drugs.

    (00:10:23) Amyloid Plaques and Their Impact

    Why removing amyloid plaques hasn’t improved patient outcomes.

    (00:14:29) Problems with Alzheimer's Trials

    The disconnect between amyloid removal and patient outcomes.

    (00:18:03) Functional Unblinding and Trial Bias

    How functional unblinding affects trial results and drug evaluations.

    (00:23:51) The Potential of Targeting Tau

    New breakthroughs in targeting tau protein for Alzheimer’s.

    (00:26:35) The Future of Prevention

    Potential preemptive treatments for Alzheimer's and their administration.

    (00:29:19) Lifestyle and Risk Reduction

    Recommendations for reducing risk of Alzheimer’s disease.

    (00:31:43) Conclusion

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  • Two-time guest Nate Persily is a professor of law and policy who studies the intersection of artificial intelligence and democracy. AI is creeping into democracy, he says, and 2024 saw its share of deepfakes and synthetic media, but with surprisingly little impact. His bigger concern is the opposite – politicians claiming the truth to be fake. It breeds distrust and, for democracy, that’s more pernicious, Persily tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Nathaniel Persily

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Nate Persily, a professor of law at Stanford University.

    (00:02:49) How AI Impacts Democracy

    AI's role in influencing elections and its implications for democratic systems.

    (00:03:38) Deepfakes and the Election

    The limited impact of deepfakes and emerging disinformation trends.

    (00:04:37) Is Skepticism Beneficial?

    The role of skepticism in navigating AI-driven disinformation.

    (00:06:06) AI and Social Media

    How AI powers social media and its implications for democratic dialogue.

    (00:08:40) AI Monopoly and Democracy

    Risks of concentrated AI power among tech giants.

    (00:12:03) Risks of Open AI Models

    Balancing innovation and misuse risks of open AI models.

    (00:17:20) Regulating AI

    Global efforts to regulate AI and lessons from the European AI Act.

    (00:19:54) The Global AI Race

    The international race to balance progress and safeguards with AI.

    (00:23:35) Global South and AI

    The digital divide and role of open models in under-resourced nations.

    (00:25:05) AI in Legal Practice

    Potential and challenges of AI in law, from drafting to adjudication.

    (00:28:55) Conclusion

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  • The field of robotics has a long history at Stanford Engineering, and Professor Oussama Khatib has been a pioneering leader in that field, working on everything from human-interactive robots to underwater exploration, pushing the boundaries of what robots can do. Most recently, he’s led the opening of a new Robotics Center at Stanford. Today we’re bringing back the conversation we had with him about his work on OceanOneK — a humanoid robot who now has a new home in the Robotics Center. Join us as we talk about his journey, his vision for the future of robotics, and how his research is transforming the way humans interact with machines. We hope you enjoy the episode!

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    Stanford Profile: Oussama KhatibStanford Robotics Lab

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Oussama Khatib, a professor of engineering at Stanford University.

    (00:01:54) Underwater Robotics Advancements

    Innovations in underwater robotics, including breakthroughs for deeper exploration.

    (00:05:35) New Flotation Materials

    The discovery of lightweight, strong flotation materials for deep-sea robots.

    (00:06:25) Robot Battery Challenges

    The challenges of powering robots at extreme depths.

    (00:09:09) Importance of Anthropomorphic Design

    Why humanoid features are essential for performing delicate underwater tasks.

    (00:14:20) Robotic Design Challenges

    The design of lightweight robotic arms that can withstand underwater pressure.

    (00:19:51) Ease of Use for Operators

    How both novices and experts can quickly adapt to controlling these robots.

    (00:22:37) Applications in Biology and Archaeology

    Future applications in marine biology and underwater archaeology.

    (00:26:12) Search and Rescue Potential

    The potential for robots to assist in search and rescue missions.

    (00:27:48) Future of Deep-Sea Exploration

    The future of deep-sea exploration using robotics.

    (00:29:40) Conclusion

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  • Guest James Landay is an expert in human-centered artificial intelligence, a field all about optimizing technology for human and societal good. Landay says one of the most promising intersections is in education and AI, where the technology excels as a coaching and tutoring tool. His Smart Primer and Acorn apps use augmented reality and AI to engage children in outdoor, hands-on environmental science, and his GPT Coach is an AI-powered fitness planning tool. When it comes to AI and education, things are wide open and only just getting started, Landay tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: James LandaySmart Primer

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest James Landay, a professor of computer science at Stanford University.

    (00:02:04) Evolving AI Applications

    How large language models can replicate personal coaching experiences.

    (00:06:44) Role of Health Experts in AI

    Integrating insights from medical professionals into AI coaching systems.

    (00:10:21) Personalization in AI Coaching

    How AI coaches can adapt personalities and avatars to cater to user preferences.

    (00:12:51) Group Dynamics in AI Coaching

    Pros and cons of adding social features and group support to AI coaching systems.

    (00:14:08) Ambient Awareness in Technology

    Ambient awareness and how it enhances user engagement without active attention.

    (00:17:44) Using AI in Elementary Education

    Narrative-driven tutoring systems to inspire kids' learning and creativity.

    (00:22:59) Encouraging Student Writing with AI

    Using LLMs to motivate students to write through personalized feedback.

    (00:23:52) Scaling AI Educational Tools

    The ACORN project and creating dynamic, scalable learning experiences.

    (00:27:58) Human-Centered AI

    The concept of human-centered AI and its focus on designing for society.

    (00:30:34) Conclusion

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  • Climate change authority Noah Diffenbaugh says that the effects of climate change are no longer theoretical but apparent in everyday, tangible ways. Still, he says, it is not too late to better understand the effects of climate change, to mitigate them through reductions in greenhouse gas emissions and other measures, and to adapt how we live in the face of a warmer planet. Society is falling behind in its ability to deal with increasingly extreme climate events but solutions are not out of reach, Diffenbaugh tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Noah Diffenbaugh

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Noah Diffenbaugh, a professor of Earth System Science at Stanford University.

    (00:02:34) Global Impact of Climate Change

    The major areas where climate change is having the greatest impact globally.

    (00:03:27) Climate Phenomena and Humans

    Connecting climate science with localized human impacts

    (00:06:16) Understanding Climate Forcing

    The concept of "climate forcing" and its significance in Noah’s research.

    (00:10:00) Geoengineering and Climate Interventions

    The potential and risks of intentional climate interventions.

    (00:21:18) Adaptation to Climate Change

    How humans are adapting to climate change and why we might be falling behind.

    (00:25:19) Increase in Extreme Events

    Why extreme climate events are becoming exponentially more frequent and severe.

    (00:28:34) AI in Climate Research

    How AI is revolutionizing climate research by enabling predictive capabilities.

    (00:32:26) Conclusion

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  • Climate modeler Aditi Sheshadri says that while weather forecasting and climate projection are based on similar science, they are very different disciplines. Forecasting is about looking at next week, while projection is about looking at the next century. Sheshadri tells host Russ Altman how new data and techniques, like low-cost high-altitude balloons and AI, are reshaping the future of climate projection on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Aditi Sheshadri

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Aditi Sheshadri, a professor of Earth systems science at Stanford University.

    (00:02:58) Climate Projection vs. Weather Forecasting

    The differences between climate projection and weather forecasting.

    (00:04:58) The Window of Chaos

    The concept of the "window of chaos" in climate modeling.

    (00:06:11) Scale of Climate Models

    The limitations and scale of climate model boxes.

    (00:08:19) Computational Constraints

    Computational limitations on grid size and time steps in climate modeling.

    (00:10:56) Parameters in Climate Modeling

    Essential parameters measured, such as density, temperature, and water vapor.

    (00:12:18) Oceans in Climate Models

    The role of oceans in climate modeling and their integration into projections.

    (00:14:35) Atmospheric Gravity Waves

    Atmospheric gravity waves and their impact on weather patterns.

    (00:18:51) Polar Vortex and Cyclones

    Research on the polar vortex and on tropical cyclone frequency.

    (00:21:53) Climate Research and Public Awareness

    Communicating climate model findings to relevant audiences.

    (00:23:33) New Data Sources

    How unexpected data from a Google project aids climate research,

    (00:25:09) Geoengineering Considerations

    Geoengineering and the need for thorough modeling before intervention.

    (00:28:19) Conclusion

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  • Halloween may be behind us in the US but here at The Future of Everything we’re not quite done with spooky season. If you’re pairing your trick-or-treat haul with some scary movies, we invite you to revisit with us a conversation Russ had with Lawrence Wein a couple years ago about the work he’s doing in forensic genetic genealogy to crack cold cases. Professor Wein shares how he’s using math to catch criminals through traces of their DNA. It’s both haunting and hopeful, and we hope you’ll take another listen.

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    Stanford Profile: Lawrence M. WeinLawrence’s Paper: Analysis Of The Genealogy Process In Forensic Genetic Genealogy

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Lawrence Wein, professor of management science at Stanford University.

    (00:02:18) Forensic Genealogy Explained

    Forensic genetic genealogy and its impact on solving unsolved crimes.

    (00:04:31) Third-Party Databases in Genealogy

    Insight into databases that allow law enforcement to search for criminal suspects.

    (00:08:23) Math Models in Genealogy

    Using mathematical models to streamline genealogy work.

    (00:11:31) Components of the Genealogy Algorithm

    The algorithm's methods, including ascending and descending family trees.

    (00:14:12) Algorithm Efficiency and Comparison

    Comparing the new algorithm's effectiveness to traditional genealogy strategies.

    (00:16:53) Algorithm in Practice

    Role of human input alongside the mathematical algorithm in genealogy cases.

    (00:20:42) Role of Genealogists

    Genealogists’ insights on balancing human skill and mathematical algorithms.

    (00:22:45) DNA Databases and Ethics

    The ethical and privacy concerns related to using genetic data.

    (00:27:01) Background and Interest in Forensic Genealogy

    Lawrence’s journey from operations management to forensic genealogy.

    (00:30:16) Conclusion

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  • Returning guest Marco Pavone is an expert in autonomous robotic systems, such as self-driving cars and autonomous space robots. He says that there have been major advances since his last appearance on the show seven years ago, mostly driven by leaps in artificial intelligence. He tells host Russ Altman all about the challenges and progress of autonomy on Earth and in space in this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Marco PavoneCenter for AEroSpace Autonomy Research (CAESAR)

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Marco Pavone, a professor of aeronautics and astronautics at Stanford.

    (00:02:37) Autonomous Systems in Everyday Life

    Advancements in the real-world applications of autonomous systems.

    (00:03:51) Evolution of Self-Driving Technologies

    The shift from fully autonomous cars to advanced driver assistance systems.

    (00:06:36) Public Perception of Autonomous Vehicles

    How people react to and accept autonomous vehicles in everyday life.

    (00:07:49) AI’s and Autonomous Driving

    The impact of AI advancements on autonomous driving performance.

    (00:09:52) Simulating Edge Cases for Safety

    Using AI to simulate rare driving events to improve safety and training.

    (00:12:04) Autonomous Vehicle Communication

    Communication challenges between autonomous vehicles and infrastructure.

    (00:15:24) Risk-Averse Planning in Autonomous Systems

    How risk-averse planning ensures safety in autonomous vehicles.

    (00:18:43) Autonomous Systems in Space

    The role of autonomous robots in space exploration and lunar missions.

    (00:22:47) Space Debris and Collision Avoidance

    The challenges of space debris and collision avoidance with autonomous systems.

    (00:24:39) Distributed Autonomous Systems for Space

    Using distributed autonomous systems in space missions for better coordination.

    (00:28:40) Conclusion

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  • Physicist Matthias Kling studies photons and the things science can do with ultrafast pulses of X-rays. These pulses last just attoseconds – a billionth of a billionth of a second, Kling says. He uses them to create slo-mo “movies” of electrons moving through materials like those used in batteries and solar cells. The gained knowledge could reshape fields like materials science, ultrafast and quantum computers, AI, and medical diagnostics, Kling tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    SStanford Profile: Matthias KlingMatthias’ Lab: SLAC National Accelerator Laboratory

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Matthias Kling, a professor of photon science and applied physics at Stanford University.

    (00:02:52) Ultrafast Electronics Overview

    The technologies enabling ultrafast photonics and electronic advancements.

    (00:05:32) Attosecond Science Applications

    Capturing electron and molecular movements with attosecond pulses.

    (00:09:31) Photoelectric Effect Insights

    Attosecond science’s impact on understanding the photoelectric effect and quantum mechanics.

    (00:13:27) Real-Time Molecular Measurements

    Using light waves to capture images of molecules at room temperature.

    (00:19:32) Future of Ultrafast Electronics

    How attosecond light pulses could revolutionize computing with petahertz speed.

    (00:23:28) Energy-Efficient Quantum Computing

    Potential for room-temperature quantum computers using light wave electronics.

    (00:26:33) AI and Machine Learning in Science

    AI's role in optimizing research and data collection in ultrafast electronics.

    (00:28:51) Real-Time AI Data Analysis

    Machine learning enables real-time analysis of massive experimental data.

    (00:32:15) Conclusion

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  • We’re just weeks away from a national election, and in our polarized society, we all know it can be difficult to find and create spaces for thoughtful policy discussions. A couple of years ago, James Fishkin, a professor of communication at Stanford, joined the podcast. He talked about a system called deliberative polling that can serve as a model for structuring small group discussions to help bring people together and bridge differences in conversations about some of the most politically fraught issues. It’s an opportune time to bring this conversation back for another listen and we hope our discussion helps as you go about your conversations through this political season and beyond.

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    Stanford Profile: James FishkinJames’ Lab: Deliberative Democracy Lab

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest James Fishkin, a professor of communication at Stanford.

    (00:01:31) What is Deliberative Democracy?

    The concept of deliberative democracy and how it addresses political divides.

    (00:03:47) Managing Balance in Deliberation

    The importance of balanced group discussions and strategies for avoiding conflict.

    (00:04:55) Scaling Deliberation for Large Groups

    The logistics and technology behind scaling to larger groups, both online and in person.

    (00:06:54) Deciding Which Questions to Address

    How tough issues are selected for deliberation in different locations.

    (00:10:54) The Human Element in Deliberation

    The surprising effectiveness of online platforms for fostering connection.

    (00:13:13) Automated Moderators in Deliberation

    The development and success of automated moderators in online deliberations.

    (00:19:20) Applying Deliberative Democracy to the U.S.

    Whether deliberative polling could help address political deadlock in the U.S.

    (00:25:30) The Future of Deliberative Polling

    The future possibilities of scaling deliberative polling to larger populations.

    (00:27:23) Conclusion

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  • Astronautics professor Grace Gao is an authority on the Global Positioning System. GPS has long been key to navigation on Earth, she says, but science is now shifting its focus outward to the frontiers of space. Gao is working on a GPS-like system for the Moon. To keep costs low, this lunar positioning system will leverage Earth-based satellites complemented by a network of smaller satellites in lunar orbit. It could lead to autonomous vehicles on the moon and a new era of lunar exploration, Gao tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Grace GaoGrace’s Labe:Stanford NAV Lab

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces Grace Gao, a professor of aeronautics and astronautics at Stanford University.

    (00:02:15) GNSS vs. GPS

    The difference between GPS and GNSS, and the different global navigation systems.

    (00:03:09) How Does GPS Work?

    GPS operation, including the role of satellites, ground monitoring stations, and user receivers.

    (00:04:07) GPS Signal and Satellites

    How GPS uses multiple satellites and how the different global systems collaborate to improve accuracy.

    (00:05:23) GPS Challenges in Cities

    Issues with GPS in urban environments and the importance of reliability and safety.

    (00:07:53) Improving GPS Accuracy

    Multimodal sensor fusion helps enhance GPS accuracy in challenging environments.

    (00:10:11) Collaboration Among Autonomous Vehicles

    The potential for autonomous vehicles to share information for better navigation and safety.

    (00:14:07) GPS Safety and Signal Jamming

    GPS safety concerns and real-world signal disruption examples.

    (00:18:56) GPS in Space Travel

    How GNSS and Earth-based GPS systems can support space missions.

    (00:25:05) Designing Lunar GPS

    The cost and coverage challenges of creating a lunar navigation system.

    (00:27:13) Autonomous Moon Rovers

    NASA’s plans for collaborative autonomous rovers on the Moon.

    (00:30:42) Conclusion

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  • Sports medicine physician Emily Kraus knows a lot about the health challenges of female athletes. Women face far more ACL tears and bone stress injuries than men, for instance, and excessive training or poor nutrition can also delay puberty and affect menstruation. These differences are vastly understudied, she says. To close the gap, Kraus initiated the “Female Athlete Voice Project” that asks female Olympic and Paralympic athletes about their health experiences. We need to tailor approaches specific to female athletes, Kraus tells host Russ Altman on this episode of Stanford Engineering’sThe Future of Everything podcast.

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    Stanford Profile: Emily KrausEmily’s Survey: Centering The Female Athlete Voice in a Sports Science Research AgendaStanford FASTR ProgramWu Tsai Human Performance Alliance

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces Emily Kraus, a professor of orthopedics at Stanford University and an expert on the issues of women's health.

    (00:02:19) Health Challenges for Female Athletes

    Prevalent injuries and health issues unique to female athletes.

    (00:03:57) Hormonal Health and Puberty

    The impact of hormonal health and menstrual cycles on young athletes’ performance.

    (00:06:57) Body Composition and Mental Health

    The challenges and psychological impact puberty has on young athletes.

    (00:08:53) Female Athletes in Adulthood

    The lack of research and resources available for female athletes during major life transitions.

    (00:12:48) Nutrition, Fueling, and Recovery Science

    How science has evolved in understanding nutrition, recovery, and strategic rest.

    (00:15:54) Gender Differences in Fueling and Recovering

    The differences between male and female athletes in nutrition and recovery.

    (00:19:19) Survey of Olympic Athletes

    Insights from female Olympians and Paralympians on the key gaps in sports science research.

    (00:21:40) The WUSAI Human Performance Alliance

    The WUSAI Human Performance Alliance’s focus on uncovering the principles of human performance.

    (00:25:35) The Female Athlete Survey

    The unexpected findings from the survey, highlighting the sexism and inequity in sports.

    (00:27:26) Spreading Knowledge to Athletes and Clinicians

    How Emily’s research is being received by the broader athletic and medical communities.

    (00:30:00) Conclusion

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  • Today, we’re bringing you a best-of from our archive of over 250 episodes. We’re all aware that the consequences of climate change range from rising sea levels, to drought, wildfires, economic disruption and the displacement of populations. We’re seeing and living through many of these effects, but is there hope for managing additional risk? A couple years ago we sat down with environmental scientist Chris Field to ask this question. He shared that it’s still possible to pave the way to a sustainable future. Take another listen to this episode to hear more about how he thinks we can do this together.

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    Stanford Profile: Chris FieldOriginal Episode: How to fight climate change | Stanford University School of Engineering

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Chris Field, a professor of earth systems science and biology at Stanford.

    (00:01:59) The Status of Climate Change

    The current status of global warming and the need for ongoing emissions reductions.

    (00:03:17) Understanding CO2 and Temperature

    The linear relationship between CO2 emissions and global warming.

    (00:05:00) Is Zero Emissions Feasible?

    The UN's climate goals and why both mitigation and adaptation are crucial.

    (00:06:04) Global Collaboration for Climate Action

    The role of both private sector innovations and global political collaboration in climate action.

    (00:08:22) Mitigation and Adaptation Strategies

    Progress made in strategies for mitigating climate change and adapting to its effects.

    (00:11:25) Climate Impact on Disasters

    How rising temperatures exacerbate coastal flooding and wildfire risks.

    (00:14:07) Adaptation to Coastal Flooding

    Insights into strategies such as improving infrastructure and planned relocation.

    (00:16:47) Adaptation to Wildfires

    Assessment of fire management policies and the challenges of wildfire risk in high-risk regions.

    (00:19:03) Technological Innovations in Climate Change

    The potential for future technological innovations to solve climate change.

    (00:20:54) Ukraine Conflict and Climate Change

    The surprising connection between the Ukraine conflict and global climate change.

    (00:23:41) Individual Impact on Climate Change

    How individuals can make contributions to combating climate change in their everyday lives.

    (00:25:57) The Role of Young People in Climate Change

    The role young people play in the fight against climate change.

    (00:27:12) Conclusion

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  • Taken any selfies lately? Dermatologist Zakia Rahman studies both the science of healthy skin and the effects of the exponential increase in skin images on self-esteem. As a result, skin health is linked to mental health, she says. It’s not about vanity, it’s about vitality, Rahman tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Zakia Rahman, a professor of dermatology at Stanford University.

    (00:02:24) The Impact of Digital Technologies

    How digital technologies and frequent image exposure affect dermatology and self-perception.

    (00:03:40) Effects of Self-Image on Dermatology

    Balancing vanity and vitality in modern skincare trends.

    (00:05:05) The Role of Lasers in Dermatology

    The use of laser technology in dermatology, including types and applications.

    (00:08:44) Lasers in Skin Cancer Treatment

    How laser technology aids in the treatment and prevention of skin cancer.

    (00:10:11) Progress in Skin Cancer

    The effectiveness of sun protection measures and how we can better prevent skin cancer.

    (00:13:29) Effectiveness of Physical Sun Protection

    The protective benefits of everyday clothing versus specialized sun-protective gear.

    (00:18:56) Ethnic Differences in Skin Health

    The differences in skin health and sun exposure effects across various ethnic groups.

    (00:23:43) Aesthetic and Cultural Implications in Skin Care

    How cultural perceptions of beauty intersect with skincare and overall health.

    (00:26:08) Therapeutic Effects of Light

    The potential skincare benefits of red light therapy and its popularity.

    (00:28:55) Conclusion

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  • Arvind Karunakaran studies the intersections of work, AI, and organizational behavior. He says AI can enhance speed and productivity in the short run, yet degrade skills over time. But it is in organizational power dynamics where AI has had its most marked impact, he says, telling host Russ Altman about situations in law firms where AI has fostered tension between paralegals and junior attorneys. It’s AI and the modern workplace on this episode of Stanford Engineering’s The Future of Everything Podcast.

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Arvind Karunakaran, a professor of management science and engineering at Stanford University.

    (00:02:47) Productivity vs. Skill Development

    The broader impact of AI on workplace productivity and the potential skill loss among workers.

    (00:04:39) New Skills for the AI Era

    Whether new skill sets required by AI tools are emerging or if it's still too early to tell.

    (00:06:17) AI and Power Dynamics

    How AI is influencing authority and power dynamics in the workplace.

    (00:09:16) Challenges of Role Re-Design with AI

    The need for systemic changes in job roles and organizational structures to accommodate AI.

    (00:11:02) Accountability and AI in Decision-Making

    The complexities of accountability when AI is involved in decision-making processes.

    (00:15:14) Platforms and Power Dynamics

    The role of platforms as intermediaries and their impact on authority and power dynamics.

    (00:20:28) AI Experimentation in the Workplace

    How organizations are experimenting with AI and the importance of trust in these processes.

    (00:23:29) Rethinking Training for AI Integration

    The necessity of innovative training methods to effectively integrate AI in workplace settings.

    (00:25:30) Management Strategies for AI Adoption

    Ways managers can approach AI integration in their organizations to foster productivity and innovation

    (00:28:12) AI in Gig Work Platforms

    Challenges and opportunities AI presents within gig work platforms.

    (00:32:20) Conclusion

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  • We want to wish our listeners in the states a happy Labor Day weekend. We hope, wherever you are, you’re taking some time to savor the last bit of summer. After a couple months full of travel and news about the airplane industry, we can’t help wondering — are there better ways to build airplanes? Our previous guest, Ilan Kroo, an expert in aeronautics, discusses how recent developments in fuels, engines, materials, and computer controls are leading to a new era of airplanes. We hope you’ll tune in and learn something new.

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Ilan Kroo, a professor of aeronautics and astronautics at Stanford University.

    (00:01:33) The Future of Airplane Design

    The technological advancements that are enabling new types of aircraft designs.

    (00:03:52) Designing Airplanes with Active Control

    Active control systems and their impact on airplane safety and efficiency.

    (00:05:03) Personal Flying Vehicles

    eVTOL vehicles as a promising future technology for personalized and commercial travel.

    (00:06:54) Scaling eVTOL and Air Traffic Control

    How companies and regulatory bodies are preparing for the rise of eVTOL vehicles.

    (00:10:21) Sustainable Aviation

    New engine concepts, composite materials, and sustainable fuels in commercial aviation.

    (00:16:42) Hydrogen-Powered Aircraft

    Hydrogen's potential as a sustainable fuel source and its impact on airplane design.

    (00:19:44) Climate Modelling in Airplane Design

    The intersection of climate science and airplane design for a more sustainable future.

    (00:22:04) Unconventional Airplane Designs

    New designs that may become the future of aviation, with benefits in sustainability and performance.

    (00:25:55) Conclusion

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  • Political scientist Kathryn Stoner is the Director of the Center on Democracy, Development and the Rule of Law (CDDRL) at Stanford and an authority on Russian/Ukrainian politics. She says views on the current war depend on which side someone is on: Many Russians and their leader Vladimir Putin say Ukrainians are Russians and have been since the 10th century. Ukrainians strongly disagree, likening the two nations to the U.S. and Great Britain. How the present conflict is resolved has important implications for other former Soviet states and the future of the European Union, as Stoner tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Kathryn Stoner, director of the Center on Democracy, Development, and the Rule of Law at Stanford University.

    (00:02:09) Historical Context of the Russia-Ukraine Conflict

    How historical narratives shape perspectives on the Russia-Ukraine conflict.

    (00:05:38) U.S. and International Perspectives

    The strategic implications of the Russia-Ukraine conflict for the United States and its historical agreements.

    (00:08:49) The Domino Effect and Regional Risks

    The potential risks to other former Soviet republics and the concept of the domino effect.

    (00:12:43) Democracy in the Post-Soviet States

    Analysis of the state of democracy in Ukraine, Georgia, and other former Soviet republics

    (00:18:59) The Unexpected Stalemate

    Why the Russia-Ukraine war has not gone as expected and the strategic missteps by Russia.

    (00:22:39) Domestic Impact in Russia

    The impact of the war on Russian public opinion and why Russians are not openly protesting against it.

    (00:28:46) Hope for the Future

    Potential sources of optimism for the future of Russia and its younger generation.

    (00:31:40) Conclusion

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  • Dan Schwartz is a cognitive psychologist and dean of the Stanford Graduate School of Education. He says that artificial intelligence is a different beast, but he is optimistic about its future in education. “It’s going to change stuff. It’s really an exciting time,” he says. Schwartz imagines a world not where AI is the teacher, but where human students learn by teaching AI chatbots key concepts. It’s called the Protégé Effect, Schwartz says, providing host Russ Altman a glimpse of the future of education on this episode of Stanford Engineering’s The Future of Everything podcast.

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Dan Schwartz, a professor of education and a dean of the School of Education at Stanford University.

    (00:02:06) The Role of AI in Modern Education

    The widespread reactions and implications of AI, particularly ChatGPT, in education.

    (00:03:22) The Role of Technology in the Classroom

    The historical and evolving relationship between technology and education.

    (00:05:14) Engaging Students with AI

    How AI can enhance student engagement through innovative teaching methods.

    (00:08:08) Impact of AI on Student Learning

    The balance between AI tools and maintaining educational standards.

    (00:13:42) Industry's Role in Educational Technology

    Challenges and opportunities in collaborating with educational technology companies.

    (00:15:44) Teacher's Role in Adapting to AI

    The critical role of teachers in effectively integrating AI into the classroom.

    (00:18:39) Assessment and Grading with AI

    The potential and concerns of using AI for educational assessment.

    (00:22:34) Learning Strategies and Conceptual Understanding

    The importance of understanding the underlying concepts rather than just using AI tools.

    (00:25:08) Physical Activity and Learning

    The connection between physical activity and improved learning outcomes.

    (00:29:17) Conclusion

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  • Today, we’re re-running a fascinating conversation with Sara Singer, a Stanford professor of medicine, and an expert on integrated healthcare. Anyone who’s had to navigate the healthcare system knows it’s extremely complex, and care can often feel disjointed or inefficient. In this episode, Sara highlights new technologies that could improve integration within the healthcare system, ultimately enhancing a practitioners’ ability to care for patients. We hope you’ll take another listen and enjoy.

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    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Sarah Singer, a professor of medicine and organizational behaviour at Stanford University

    (00:02:25) Defining Integrated Care

    The concept of integrated care and its significance in improving patient experience.

    (00:03:37) Global Implementation of Integrated Care

    The global challenges and successes in implementing integrated care.

    (00:04:45) Cost Implications of Integrated Care

    The potential cost-saving benefits of integrated care through efficient coordination.

    (00:05:34) COVID-19’s Impact on Healthcare Integration

    The pandemic's dual role in exposing challenges and providing opportunities for integrated care.

    (00:07:45) The Role of AI in Healthcare's Future

    AI’s potential in healthcare and the importance of user collaboration.

    (00:09:38) Importance of Iterative Development

    The need for continuous collaboration in healthcare technology development.

    (00:12:16) Patient Perspectives in Tech Development

    The value of integrating patient feedback into healthcare technology.

    (00:13:20) Consumer Suggestions for Health Care

    How patient feedback has influenced health care improvements.

    (00:16:49) Iterative Development of Health Care Technologies

    The iterative process of developing health care technologies with continuous input from end users.

    (00:24:29) Advice for Healthcare Technologists

    Advice for technologists on developing useful and accepted healthcare tools.

    (00:27:22) Conclusion

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  • Psychologist Judy Fan is an expert in how physical objects facilitate learning. In the classroom, these include pencils, pens, paper, and whiteboards. But in any learning situation, the physical world provides tools for learning and communicating, often trumping the speed and reach of today’s digital technologies. These objects are cognitive tools – physical representations of human thought, she says. They help us think, solve problems, and communicate with others better and more effectively, as she tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.

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    Stanford Profile: Judy Fan

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    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Judy Fan, a professor of psychology at Stanford University.

    (00:02:02) The Essence of Cognitive Tools

    What cognitive tools are and their importance from ancient times to the present.

    (00:03:37) Historical Context of Cognitive Tools

    The historical evolution of cognitive tools and their role in education.

    (00:06:57) Cross-Cultural Insights on Cognitive Tools

    The universality of cognitive tools and cross-cultural variations.

    (00:12:39) Developmental Trajectories in Visual Communication

    How children develop the ability to visually communicate concepts and the differences between cultures.

    (00:17:01) The Influence of Cultural Artifacts on Perception

    How cultural exposure shapes our perception and depiction of the world.

    (00:22:15) The Future of Learning Technologies

    The impact of technological advancements on cognitive tools and potential directions for the future.

    (00:24:29) Hands-On Learning and Interactive Tools

    The importance of interactive learning activities that allow students to engage with scientific processes.

    (00:27:44) Enhancing Creative Processes Through Technology

    Ways technology can aid creative professionals and the development of tools for high-level experts.

    (00:30:44) Bridging Novice and Expert Needs

    The challenges of designing technology that serves both novices and experts.

    (00:33:19) Conclusion

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