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    Education

    The Future of Everything – Stanford Engineering

    Host Russ Altman, a professor of bioengineering, genetics, and medicine at Stanford, is your guide to the latest science and engineering breakthroughs. Join Russ and his guests as they explore cutting-edge advances that are shaping the future of everything from AI to health and renewable energy.
    Along the way, “The Future of Everything” delves into ethical implications to give listeners a well-rounded understanding of how new technologies and discoveries will impact society. Whether you’re a researcher, a student, or simply curious about what’s on the horizon, tune in to stay up-to-date on the latest developments that are transforming our world.

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    Latest Episodes:
    The future of brain development Nov 06, 2026
    Show notes

    Live from the Wu Tsai Neurosciences Institute 2026 Symposium, and in partnership with the institute’s podcast From Our Neurons to Yours, host Russ Altman talks with brain development researchers Karen Parker and Jason Yeatman. Parker studies autism at the molecular level, translating those findings to clinical trials. Yeatman studies dyslexia, deploying assessment tools to 1.2 million students at nearly 3,000 schools. While their individual work is different in approach, the conversation sheds light on the similar obstacles both face in turning scientific discovery into real-world impact. Their mutual takeaway is that scientific breakthroughs are increasingly the work of diverse teams, not lone investigators. “The magic happens at the interdisciplinary boundaries,” Parker tells Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Learn more about Karen & Jason's work lab: Parker Lab | Yeatman Lab
    • Listen to Jason’s Episode: The Future of Learning to Read
    • You can also listen to this episode on the podcast, From Our Neurons to Yours. We created this show in collaboration with their team.

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces guests Karen Parker, a professor of psychiatry and behavioral sciences and comparative medicine, and Jason Yeatman, a professor of pediatrics and education at Stanford University.
    (00:03:25) Connecting Molecules to Behavior
    How interdisciplinary teams can connect biology, behavior, and clinical outcomes.
    (00:04:36) From Research to Education
    Why education lacks the research-to-practice infrastructure found in medicine.
    (00:06:09) Testing What Works in Schools
    The challenges of bringing stronger scientific evidence into education.
    (00:08:12) Bridging Neuroscience and Psychology
    Why better infrastructure is needed to connect brain science and psychology.
    (00:10:05) Building Better Collaborations
    How competing incentives can complicate interdisciplinary partnerships.
    (00:11:51) Training Scientists to Collaborate
    Why academic incentives can make collaboration harder for early-career researchers.
    (00:13:34) Working Across Disciplines
    How different specialties can work together to study brain development.
    (00:14:07) Partnering with Schools
    Why successful school partnerships start with addressing real needs.
    (00:15:51) Research That Matters in Practice
    How school partnerships can shape more relevant scientific questions.
    (00:18:22) Building Research Networks
    The challenge of connecting schools and districts through shared research infrastructure.
    (00:19:26) Studying Brain Development in Children
    The challenges of studying developing brains, especially in children with neurodivergence.
    (00:21:24) Building Long-Term Research Cohorts
    How registries and school networks can accelerate developmental research.
    (00:23:05) Longitudinal Data at Scale
    How large school datasets can support long-term research on development.
    (00:24:20) AI in Brain and Education Research
    How AI could accelerate research while creating new risks.
    (00:27:44) Future In a Minute
    Rapid-fire Q&A: research infrastructure, interdisciplinary science, and learning.
    (00:29:51) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of climate change beliefs Oct 30, 2026
    Show notes

    In her research, Madalina Vlasceanu explores the psychology of sustainability. She’s keenly interested in how people form beliefs and what motivates them to action. Her research shows that the erosion of institutional trust is an intentional tactic and that climate polarization is manufactured by fossil fuel interests to drive disengagement. Vlasceanu offers evidence-based recommendations for turning despair into action. Concern for future generations is an effective strategy for generating policy support, she says, while restoring trust in institutions is key to action. Climate change is a collective problem and we must address it collectively, Vlasceanu tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Madalina Vlasceanu

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces guest Madalina Vlasceanu, a professor of environmental social science and organizational behavior at Stanford University.
    (00:01:50) Studying Climate Beliefs
    How Vlasceanu moved from memory research to studying misinformation, belief formation, and climate action.
    (00:03:33) Climate Misinformation and Disinformation
    The large amount of false information shared both unintentionally and deliberately to mislead.
    (00:05:35) The Polarization of Climate Beliefs
    How climate change shifted from a relatively nonpartisan issue to one strongly shaped by political identity and elite influence.
    (00:08:28) How Groups Shape Beliefs
    Why people form beliefs not only through evidence and reasoning, but also through social cues, identity, and the desire to belong.
    (00:10:02) Individual vs. Collective Climate Action
    How climate solutions range from personal lifestyle changes to collective action and system-level change.
    (00:11:25) Misjudging Climate Impact
    Why people tend to overestimate low-impact actions like recycling and underestimate higher-impact choices.
    (00:14:15) Correcting Climate Misperceptions
    How simple information can help people better understand which climate actions have the greatest impact.
    (00:15:51) Prediction and Learning
    Why prediction errors can strengthen learning, memory, and belief updating.
    (00:16:25) Algorithms, AI, and Climate Beliefs
    How online systems can amplify misinformation and existing biases—and how better policy could potentially redirect them.
    (00:18:13) AI’s Climate Impact
    How AI affects the climate not only through data centers, but also by increasing efficiency across existing energy industries.
    (00:21:42) Collective Action’s Impact
    The difficulty of quantifying the impact and the power of collective action
    (00:24:41) Motivating Civic Engagement
    How contacting representatives, voting, joining organizations, and participating locally can influence climate policy.
    (00:26:38) What Motivates Climate Action?
    Large-scale studies compare interventions to identify which psychological strategies work best.
    (00:31:07) Extreme Weather and Climate Beliefs
    Why experiencing a natural disaster does not necessarily change climate beliefs unless people connect the event to climate change.
    (00:33:27) Future In a Minute
    Rapid-fire Q&A: collective action, democracy, and hope for the future.
    (00:34:57) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: The future of fashion and dress codes Oct 23, 2026
    Show notes

    New York Fashion Week wrapped up last month, but the questions it raises don't go away once the runways come down: why do clothes carry so much meaning, and who really gets to decide what "professional" looks like? Today we’re re-releasing a conversation I had with Stanford law professor Richard Ford, who's spent his career studying the surprising legal history behind our clothes — from laws in the Middle Ages that dictated what you could wear based on rank, to modern fights over workplace hairstyles and school dress codes. We get into how dress codes have shaped the fight for civil rights, and why so many workers in Silicon Valley wear the exact same fleece vest. Whether your closet is full of statement pieces or you’ve been wearing the same shirt on repeat all week, we hope you’ll take another listen to this interesting conversation.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Rich Ford

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces this re-release with Richard Ford, a professor of law at Stanford University, on the history, meaning, and power of dress codes.
    (00:02:12) Why Study Dress Codes?
    How civil rights, constitutional law, workplace rules, and school policies led Ford to study fashion and dress codes.
    (00:03:30) The Origins of Dress Codes
    How fashion emerged in the late Middle Ages and sumptuary laws regulated clothing by social rank.
    (00:05:09) Written and Unwritten Rules
    How formal dress codes gave way to powerful social expectations about what people should wear.
    (00:06:31) Fashion and Self-Expression
    How people, especially young people, find ways to express themselves even within strict dress codes.
    (00:08:04) The Great Masculine Renunciation
    How men’s fashion shifted toward sober, practical clothing as political and social values changed.
    (00:11:00) Dress Codes and Social Control
    How rules about clothing can reinforce hierarchy while also inspiring resistance and social change.
    (00:12:46) Hair as Fashion and Identity
    How hairstyles have reflected class, professionalism, gender, and cultural identity across history.
    (00:14:51) Dress Codes and Civil Rights
    How clothing and hairstyles became tools of protest, respectability, and racial identity during the civil rights era.
    (00:17:45) Clothing, Race, and Respect
    How Ford’s father shaped his understanding of dress as a way to express self-respect and command respect from others.
    (00:20:29) Reverse Snobbery
    Why dressing down can sometimes signal higher status in academia, Silicon Valley, and other elite environments.
    (00:22:18) Gender and Fashion
    How clothing expectations have historically constrained women and reinforced ideas about gender.
    (00:24:38) The Midtown Uniform
    Why workers can converge on an unofficial uniform even after formal workplace dress codes disappear.
    (00:25:54) The Case for Uniforms
    How uniforms can reduce status competition while creating tension with self-expression.
    (00:27:36) The Future of Dress Codes
    Why self-expression through clothing is unlikely to disappear even as fashion becomes increasingly casual.
    (00:28:41) Future In a Minute
    Rapid-fire Q&A: fashion, young people, sustainability, equality, and the future.
    (00:30:07) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of social hierarchies Oct 16, 2026
    Show notes

    Nir Halevy, an expert on organizational behavior, first grew interested in social hierarchies as a basketball fan. He now studies what makes for healthy workplaces. Organizational hierarchies can be beneficial, but can turn toxic. When people have power without status – control but little respect – conflict often follows. Halevy says that collaboration, not competition, is key to employee well-being. “If you care about freedom, seek cooperative environments. They will liberate you,” Halevy tells listeners – and host Russ Altman – on this episode of Stanford Engineering’s The Future of Everything podcast.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Nir Halevy
    • Learn more about Nir’s Book ‘Level Up’

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces guest Nir Halevy, a professor of organizational behavior at Stanford Graduate School of Business, and the dynamics of power, status, and hierarchy.

    (00:03:42) Studying Social Influence
    How Halevy became interested in the ways people gain influence in groups, teams, and organizations.

    (00:05:40) What Is a Hierarchy?
    How formal and informal hierarchies emerge around power, status, achievement, and influence.

    (00:07:56) Why Hierarchies Are Sticky
    The Positive and negative forces that contribute to the persistence of hierarchies

    (00:10:15) Navigating Hierarchies
    How people lower in a hierarchy can influence others without resorting to manipulation or undermining colleagues.

    (00:13:01) Power vs. Status
    Why having control over resources is different from being respected and admired.

    (00:14:36) The Danger of Power Without Status
    How low status combined with power can fuel resentment, conflict, and abuse of authority.

    (00:16:39) Respect and Recognition
    Why giving people dignity, appreciation, and status can matter as much as giving them more power.

    (00:20:03) Autonomy at Work
    How cooperation and competition shape people’s sense of freedom and control in the workplace.

    (00:23:26) Secrets at Work
    How workplace secrecy can increase stress and loneliness while also making work feel more meaningful and important.

    (00:25:30) Supporting People in Confidential Work
    Why social support can help reduce the isolation that comes with confidential work.

    (00:26:12) Three Dimensions of Wellbeing
    How happiness, interestingness, and meaningfulness can each shape the experience of work.

    (00:28:30) A Pluralistic Approach to Leadership
    Why recognizing different ways people contribute can help leaders support status, value, and wellbeing.

    (00:29:54) Future In a Minute
    Rapid-fire Q&A: cooperation, work-life balance, research partnerships, and hope for the future.

    (00:30:56) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: The future of neuroscience Oct 09, 2026
    Show notes

    Hi everyone, we had big news out of Stanford this week: Karl Deisseroth has won the 2026 Nobel Prize in Physiology or Medicine for discoveries leading to optogenetics, a technique that makes it possible to switch individual nerve cells on or off in the living brain. To celebrate, we're re-releasing a live conversation Russ had with Karl a few years ago. He's both a bioengineer and a practicing psychiatrist, and he tells me how he built a way to control brain cells with light, why the odds were stacked against it, and how it could open the door to better treatments for psychiatric disorders. We also talk about his book Projections and what it takes to turn a long-shot idea into a tool that changes neuroscience. Congratulations, Karl, on an honor so well deserved. Whether this is your first listen or your second, it's one worth hearing.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Karl Deisseroth
    • Learn more about Karl's Nobel Prize win
    • Learn more about Optogenetics
    • Reactions to Karl's Nobel Win    

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:
    (00:00:00) Introduction
    Russ Altman introduces Karl Deisseroth, a professor of bioengineering, psychiatry, and behavioral sciences at Stanford University.
    (00:04:49) Technology and Discovery
    Why Deisseroth sees technology development and basic neuroscience as inseparable.
    (00:06:36) What Is Optogenetics?
    How light can be used to precisely turn specific cells in the brain on or off.
    (00:08:27) Turning an Idea into a Tool
    The process that led to optogenetics
    (00:10:57) Microbial Opsins
    How light-sensitive proteins from microorganisms became the foundation for controlling neurons with light.
    (00:14:11) Optogenetics in Humans
    How optogenetics has already been used to restore limited vision, and what that suggests for future therapies.
    (00:17:37) Psychiatry and the Lab
    How Deisseroth’s work with patients shapes the scientific questions his lab pursues.
    (00:21:48) The Most Pressing Questions in Neuroscience Today
    Why identifying the brain’s many cell types became a central goal of the BRAIN Initiative.
    (00:24:28) Correlation vs. Causality
    Why understanding which neurons actually drive behavior requires more than simply observing brain activity.
    (00:26:52) Controlling Brain Networks
    How researchers are beginning to study and manipulate multiple brain regions with precise timing.
    (00:28:19) The Need for Neuroscience Theory
    Why better technology creates a growing need for theories that can guide which neural circuits to study.
    (00:29:38) Writing Projections
    Why Deisseroth wrote about the inner worlds of psychiatric patients alongside the science of the brain.
    (00:32:59) Capturing Patients’ Inner Worlds
    How feedback from people with psychiatric disorders shaped Deisseroth’s view of the book’s impact.
    (00:34:26) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of emotions Oct 02, 2026
    Show notes

    Clinical psychologist James Gross is fascinated by what emotions are, and he champions emotional literacy – a deeper understanding of what makes each of us tick. In his research, Gross explores his “favorite topic,” emotion regulation, through the cognitive strategy of reappraisal to shift how we perceive and deal with unhelpful emotions. He talks about the Synergistic Mindsets intervention he co-developed, which is helping Gen Zers reframe their stress and regulate emotions. Emotions aren’t inherently bad, but we must separate the helpful from the harmful, Gross tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: James Gross

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces guest James Gross, a professor of psychology and philosophy at Stanford University, and the science of understanding and regulating emotions.

    (00:03:50) Why Study Emotions?
    How Gross became interested in emotions and their role in shaping human behavior.

    (00:04:22) What Is an Emotion?
    How scientists define emotions as coordinated responses to situations that matter to us.

    (00:06:00) Affect and Emotion
    How affect differs from emotion, and why emotions may require more complex cognitive processing.

    (00:07:59) Emotional Clarity
    How recognizing what we feel and where those feelings come from can help us understand our emotions.

    (00:09:53) Emotion Regulation
    Why regulating emotions is less about suppressing them and more about deciding when they are helpful.

    (00:12:25) Strategies for Regulation
    How different approaches to emotion regulation work—and why some are more effective than others.

    (00:13:30) How Emotions Are Generated
    How situations, attention, expectations, and goals combine to produce emotional responses.

    (00:15:25) Reappraisal
    How changing the way we interpret a situation can change the emotions it produces.

    (00:17:25) AI and Emotional Support
    How large language models could potentially support people in reframing difficult experiences.

    (00:18:09) Emotions in Everyday Life
    How emotion regulation research can support parents, teachers, patients, and healthcare providers.

    (00:20:53) Young People and Mental Health
    How emotional clarity and regulation may help explain and address challenges facing younger generations.

    (00:24:40) Understanding the Sources of Stress
    Why social media, isolation, economic pressures, and other factors can shape young people’s emotional lives.

    (00:26:15) Synergistic Mindsets
    How changing beliefs about challenges and stress can produce healthier emotional and physiological responses.

    (00:29:30) What Makes You Tick?
    How a Stanford course helps students examine the forces shaping their behavior, emotions, and decisions.

    (00:31:34) Emotional Intelligence
    Why Gross sees value in emotion regulation while questioning whether “EQ” is scientifically established as a single intelligence.

    (00:32:57) Future In a Minute
    Rapid-fire Q&A: emotions, passion, & affective science.

    (00:35:10) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: The future of the innovation economy Sep 25, 2026
    Show notes

    About a year ago, the Future of Everything team was in New York taping a special episode on the innovation economy in front of a live audience, and today we're re-releasing it. We sat down with computer scientist Fei-Fei Li and economists Susan Athey and Neale Mahoney to dig into how AI is reshaping creativity, jobs, education, and public policy, and where it might take us next. It's a wide-ranging, energetic conversation. Whether you're thinking about how AI might reshape your own work, or you're just curious where some of the smartest people in tech and economics think this is all headed, this one's a great listen.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profiles: Fei-Fei Li | Neale Mahoney | Susan Athey

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction
    Russ Altman introduces this re-release of a live episode featuring Fei-Fei Li, Susan Athey, and Neale Mahoney on the future of the innovation economy.

    (00:00:45) Defining the Innovation Economy
    How new ideas, technologies, and commercialization are reshaping economic growth.

    (00:02:13) AI as a General-Purpose Technology
    What past technologies like electricity and personal computing can teach us about AI adoption.

    (00:03:23) The Bottlenecks to Adoption
    Why digitization, software costs, training, and organizational change can slow the spread of new technology.

    (00:06:05) AI and the Labor Market
    Why uncertainty about which jobs AI will disrupt makes social safety nets especially important.

    (00:08:04) Augmenting Human Work
    Why Fei-Fei Li sees AI as a tool for enhancing human capabilities rather than simply replacing jobs.

    (00:11:17) Shaping Human-Centered Innovation
    How innovation can be designed to complement human skills, creativity, and purpose.

    (00:12:21) Universities and AI Innovation
    How universities can help develop human-centered technologies and lower barriers to adoption.

    (00:13:45) Government and the AI Transition
    How public investment and policy could help workers adapt while expanding services like healthcare and childcare.

    (00:15:50) Rethinking Education
    Why AI may force a fundamental rethink of what and how students learn.

    (00:17:18) Jobs, Adaptation, and Safety Nets
    What history suggests about how economies adjust to technological disruption—and when policy intervention matters.

    (00:18:33) AI Regulation and Innovation
    How policymakers might balance technological progress with appropriate guardrails.

    (00:21:57) Competition and Market Power
    Why competition, open models, and the cost of AI access matter for innovation and economic opportunity.

    (00:24:57) Economic Optimism
    Why confidence in the American economy has declined and what might help restore it.

    (00:26:40) Future In a Minute
    Rapid-fire Q&A: hope for the future, education, robotics, AI accessibility, and the skills the panelists would learn next.

    (00:30:24) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Special episode: Think Fast, Talk Smart Sep 18, 2026
    Show notes

    Hi everyone, it's your host Russ. As summer winds down and everyone heads into a new season, I wanted to share something a little different. Recently, I sat down with Matt Abrahams, host of the podcast Think Fast, Talk Smart and a lecturer at Stanford's Graduate School of Business. We traded seats and I took the guest chair while Matt interviewed me about the future of communication in the age of AI. We’re excited to re-run this episode today and whether you're writing a pitch, prepping for a tough conversation, or just curious how AI is changing the way we talk to each other, this one's a great listen.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Russ Altman | Matt Abrahams
    • Learn more about Think Fast Talk Smart

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:
    (00:00:00) Introduction
    Russ Altman introduces this feed-drop episode from Think Fast, Talk Smart, where he joins Matt Abrahams to discuss communication in the age of AI.
    (00:01:41) The Future of Communication
    Why AI may amplify strong communication rather than replace authentic human messages.
    (00:03:23) Using AI as a Communication Tool
    How AI can help adjust language for different audiences, flag jargon, and improve clarity.
    (00:04:00) AI as a Pre-Editor
    How Russ uses large language models to critique and strengthen his writing before sharing it with colleagues.
    (00:05:04) Structuring a Strong Proposal
    How to align with your audience’s mission, define the problem, and clearly show the path forward.
    (00:07:06) Making Complex Ideas Accessible
    Why stories, analogies, and audience awareness help make technical information easier to understand.
    (00:09:41) Preparing for Tough Moments
    Why anticipating difficult concepts, questions, and conversations can make communication more effective.
    (00:11:57) Asking Better Questions
    Why specificity and strong follow-up questions can guide more meaningful conversations.
    (00:12:51) Questions as Opportunities
    How questions can communicate curiosity, engagement, and respect rather than criticism.
    (00:15:01) Building Effective Teams
    How shared goals, relationships, diversity, and clear roles support collaboration.
    (00:17:55) Productive Conflict
    How leaders can encourage rigorous disagreement without damaging trust.
    (00:19:37) Finding People’s Passion
    What hosting The Future of Everything taught Russ about understanding what motivates people.
    (00:21:00) Looking to the Future
    Why young people give Russ hope about what comes next.
    (00:22:13) A Communicator to Admire
    Why Russ credits his father with shaping his own approach to communication.
    (00:23:06) Three Ingredients for Better Communication
    Know your audience, be specific, and bring a sense of joy to the conversation.
    (00:24:07) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


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    The future of gut health Sep 11, 2026
    Show notes

    Microbiologist Justin Sonnenburg wants you to know that you – and all humans, really – are not alone. Inside each of us live uncountable bacteria without whom we could not survive. Nowhere is this symbiosis more vital, Sonnenburg says, than in the digestive tract – the gut – where trillions of bacterial collaborators help digest the foods that nourish us. Sonnenburg studies what makes this complex relationship work and how modern life is altering this important chemistry. He says the gut microbiome should be thought of as another organ. When it drifts out of balance, the effects ripple through our metabolism, our immune systems, and our nervous systems. Sonnenburg goes on to explain how dietary choices – like eating more fermented foods and fiber – can rebuild the microbiome, and why the field’s next frontier could help alleviate chronic disease. “It really is a full-body impact that our microbes are having,” Sonnenburg tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Justin Sonnenburg
    • Learn more about the Sonnenburg Lab

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Justin Sonnenburg, a professor of microbiology and immunology at Stanford University.

    (00:03:08) Path into Microbiome Research

    How Sonnenburg became interested in the friendly microbes that live in and on the body.

    (00:04:26) Bacteria as Partners

    What are gut bacteria and how do they function in our bodies?

    (00:06:23) Full-Body Effects

    How gut microbes affect metabolism, immunity, and the brain.

    (00:08:27) Industrialized Microbiomes

    What does it mean that the gut microbiome has been “industrialized”?

    (00:12:08) Feeding the Microbiome

    Why is fiber important for gut health?

    (00:15:59) Fiber Response

    Study results from Stanford reflecting individual responses to fiber.

    (00:17:14) Fermented Foods

    How foods like yogurt, kimchi, sauerkraut, and kombucha can support microbiome diversity.

    (00:20:36) Microbiome Therapeutics

    How diet and microbial interventions could improve health.

    (00:23:00) Food, Equity, and Access

    Why microbiome health may require practical tools that work beyond major diet changes.

    (00:24:02) Sharing Microbes

    How social environments, diet, and exposure may influence the microbes people acquire.

    (00:25:30) Precision Health

    How the microbiome could help tune immunity, metabolism, and disease treatment.

    (00:27:32) Women’s Health

    Why reproductive health and women’s health are promising areas for microbiome research.

    (00:28:33) Stanford Microbiome Research

    How Stanford researchers are building interdisciplinary tools, tests, and therapies for microbiome science.

    (00:30:36) Future In a Minute

    Rapid-fire Q&A: microbiome health, daily decisions, and reversing Western disease trends.

    (00:33:04) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


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    Best of: The future of language learning Sep 04, 2026
    Show notes

    As kids head back to school this month, we're re-releasing a conversation with cognitive scientist Michael Frank on the future of language learning. Michael studies the similarities and differences in how children and AI systems learn language. He’s working to understand what accounts for the “data gap” between how efficiently children learn language from relatively little input, compared to how much data AI systems need. His goal is to build better scientific models of human language acquisition and to inform how AI systems might learn in more human-like ways. Whether you’re parenting an infant or toddler who is learning to talk or you're simply curious about how language learning unfolds for people across languages and cultures, this one's a great listen.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: Michael Frank

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces this episode with Michael Frank, a professor of biology, psychology and linguistics at Stanford University.

    (00:02:05) AI and Child Language Learning

    How AI language learning and child language learning differ.

    (00:05:23) WordBank and Big Data

    How large language databases are helping researchers study child language development across cultures.

    (00:08:04) Learning Across Languages

    How children learn many different languages through broadly similar developmental processes.

    (00:08:57) Babbling and Early Speech

    How babies begin exploring the sounds and signs of their language.

    (00:10:04) Multimodal Learning

    How SAYCam & BabyView capture multimodal language learning

    (00:13:12) Language as a Social Tool

    How social cues help children break the code of language.

    (00:15:12) Learning from Others

    How children track uncertainty and seek help from social partners.

    (00:18:05) ManyBabies

    How a global research consortium studies child development across cultures and communities.

    (00:20:11) Global Development Research

    Why large-scale international collaboration is valuable but difficult to fund.

    (00:21:36) Pragmatics

    How children learn to infer meaning beyond the literal words people say.

    (00:23:21) AI, Intent, and Common Sense

    Why pragmatics matters for building AI systems that understand human intent.

    (00:24:21) Reading to Children

    Why books can support language learning through shared attention and rich social interaction.

    (00:26:38) Early Language Exposure

    Why it is never too early to interact with babies through language.

    (00:27:53) Multilingual Children

    How children can learn multiple languages with few negative consequences.

    (00:30:35) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


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