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Stanford Psychology Podcast

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May 22, 2025 • 1h 4min

153 - Mike North: Too old, too young—Is ageism the last acceptable bias?

This week, Enna chats with Dr. Mike North, Associate Professor of Management and Organizations, at NYU Stern School of Business and founding director of the AGE Initiative. Mike’s research focuses on the challenges and opportunities of today’s multigenerational workforce. His work has shaped public conversations on aging and has been featured in major media outlets including The New York Times, The Wall Street Journal, CNN, TIME, and so on.In our conversation, Mike shares stories from his early days as a researcher, and we dive into two of his recent papers on ageism—one investigating bias against older adults, even among equality advocates, and another unpacking stereotypes about younger generations.Mike’s Website: https://www.mike-north.com/ Mie’s Twitter: @MichaelSNorthMike’s LinkedIn: https://www.linkedin.com/in/michael-north-7aa39b50/ Mike’s Papers: (1) https://doi.org/10.1037/pspi0000262 (2) https://doi.org/10.1037/xge0001064 Enna’s LinkedIn: https://www.linkedin.com/in/ennayuxuanchen/ Enna’s Twitter: @EnnaYuxuanChenPodcast Contact: stanfordpsychpodcast@gmail.com Podcast Twitter: @StanfordPsyPodPodcast Substack: https://stanfordpsypod.substack.com/ Podcast Contact: stanfordpsychpodcast@gmail.com 
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May 9, 2025 • 1h

152 - Laura Schulz: The journey of becoming a cognitive scientist and what babies and children have taught us about their cognition (REAIR)

Laura Schulz, a Professor of Cognitive Sciences at MIT and director of the Early Childhood Cognition Lab, shares her journey into cognitive science. She discusses how children learn through play and their remarkable abilities in causal reasoning and emotional understanding. Laura highlights the importance of open collaboration in research, particularly through the Lookit platform that connects families to cognitive studies. She also emphasizes systemic improvements in early childhood education to support disadvantaged children, blending science with practical educational insights.
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Apr 24, 2025 • 50min

151 - Robert Hawkins: Language, Collaboration, and Social Reasoning

This week, Misha chats with Robert Hawkins, Assistant Professor of Linguistics at Stanford University. Robert directs the Social Interaction Lab where he studies the cognitive mechanisms that enable human communication and collaboration. His interdisciplinary work combines interactive experiments with computational models to uncover how people flexibly coordinate with one another.In this episode, we discuss his recent paper on communication in reference games, exploring how lexical search and social reasoning work together when we try to help others understand what we're talking about. They also dive into Robert's academic journey, his vision for the Social Interaction Lab, and how he successfully navigates the interdisciplinary landscape of cognitive science.If you found this episode interesting, subscribe to our Substack and consider leaving us a good rating! It just takes a second, but it will allow us to reach more people and excite them about psychology.Links: Robert's paper on lexical search and social reasoning: https://psycnet.apa.org/fulltext/2026-03739-001.html Robert's website: https://rdhawkins.com/ Robert's Bluesky: https://bsky.app/profile/rdhawkins.bsky.social Misha's website: https://www.mishaokeeffe.com/ Podcast Twitter: @StanfordPsyPod Podcast Bluesky: @stanfordpsypod.bsky.socialPodcast Substack: https://stanfordpsypod.substack.com/ Let us know what you think of this episode or the podcast! :) stanfordpsychpodcast@gmail.com
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Apr 10, 2025 • 38min

150 - Kendrick Kay: Large-scale fMRI Datasets and What to Consider

In this episode, Elizabeth chats with Dr. Kendrick Kay, an Associate Professor in Radiology at University of Minnesota, Twin Cities. He directs the Computational Visual Neuroscience Laboratory, and aims to understand brain function by combining cognitive neuroscience, functional MRI methods, and computational neuroscience. In this episode, Kendrick shares his work on the groundbreaking Natural Scene Dataset and discusses the behind-the-scenes considerations that went into its creation. He also outlines important points for brain scientists to think about when creating and using large-scale fMRI datasets, and shares parts of his journey as a scientist.Discussed Papers in Podcast: A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligencePrinciples of intensive human neuroimagingKendrick’s website: http://cvnlab.netElizabeth’s: website: imelizabeth.github.ioElizabeth’s BlueSky: @imelizabeth.bsky.socialPodcast BlueSky @StanfordPsyPod.bsky.socialPodcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com
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Mar 27, 2025 • 53min

149 - Jenna Wells: How Micro-Moments of Connection Shape Health and Happiness

This week, Enna chats with Dr. Jenna Wells, a professor in the Department of Psychology at Cornell University. Jenna’s research examines how emotion in close relationships contributes to mental and physical health over the life course, with a focus on late life. She is particularly interested in positive interpersonal processes and their associations with long-term health and well-being in individuals and dyads.In our conversation, Jenna shares her journey from aspiring therapist to emotion researcher, the story behind how she began to study positivity resonance, and what we can all do to navigate conflict with warmth and cultivate more emotional connection in our lives.Jenna’s Website: https://psychology.cornell.edu/jenna-wellsJenna’s Twitter: @JennaLWellsJenna’s LinkedIn: https://www.linkedin.com/in/jennalwells Jenna’s Paper: https://doi.org/10.1037/pspi0000385 Enna’s LinkedIn: https://www.linkedin.com/in/ennayuxuanchen/ Enna’s Twitter: @EnnaYuxuanChenPodcast Contact: stanfordpsychpodcast@gmail.com Podcast Twitter: @StanfordPsyPodPodcast Substack: https://stanfordpsypod.substack.com/ Podcast Contact: stanfordpsychpodcast@gmail.com 
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Feb 27, 2025 • 36min

148 - Dorsa Amir: How Culture Shapes Cognition

In this engaging conversation, Dr. Dorsa Amir, an Assistant Professor of Psychology and Neuroscience at Duke University, explores how culture shapes cognition. She introduces a groundbreaking framework with four pathways of cultural influence on cognitive processes. Dorsa discusses the surprising ways cultural contexts affect perception and memory, emphasizing the importance of language and technology. Her unique blend of anthropology and cognitive science sheds light on cognitive adaptability, challenging notions of universal experiences in visual illusions.
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Feb 13, 2025 • 48min

147 - Geoff Hinton & Jay McClelland: Two AI Pioneers in Conversation

Eric chats with 2024 Nobel Laureate Geoffrey Hinton and Stanford Professor Jay McClelland, two pioneers who have spent nearly half a century laying the groundwork for modern-day AI, advancing research on neural networks long before it captured the world's imagination.In fact, their early work faced significant skepticism from the scientific community - an experience they candidly discuss in this episode. This wide-ranging conversation covers everything from the capabilities of recent breakthrough LLMS like DeepSeek to AI agents, the nature of memory and confabulation, the challenges to aligning AI with human values when we humans don’t even agree on our values, and Geoff's fascinating new theory of language, featuring an analogy of words as thousand-dimensional, shape-shifting Lego blocks with hands.Geoff, who retired in 2023, divided his time between the University of Toronto and Google DeepMind. With numerous accolades including the 2018 Turing Award and 2024 Nobel Prize in Physics, he is perhaps best known for co-developing the backpropagation algorithm - now a cornerstone of AI research. Jay, currently at Stanford and Google DeepMind, has revolutionized our understanding of human learning through his work on Parallel Distributed Processing (PDP), applying neural network principles to understand phenomena like language acquisition. His insights into human learning have profoundly influenced how we understand machine learning.Their friendship dates back to the late 1970s and grew stronger as both collaborated with fellow pioneer David Rumelhart. They share some touching memories about Dave in this episode. Remarkably, despite decades of friendship and building upon each other's work, this appears to be their first recorded conversation together. Eric challenged them to discuss their latest insights and disagreements.This episode was recorded on January 29, 2025.JOIN OUR SUBSTACK! Stay up to date with the pod and become part of the ever-growing community! https://stanfordpsypod.substack.com/If you found this episode interesting at all, consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.Links:Geoff's websiteGeoff's Google ScholarJay's websiteJay's Google ScholarEric's websiteEric's X @EricNeumannPsyPodcast X @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you think of this episode, or of the podcast! stanfordpsychpodcast@gmail.com
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5 snips
Jan 30, 2025 • 51min

146 - Alex Shaw: The Price of Neutrality

In a captivating discussion, Dr. Alex Shaw, an Associate Professor at the University of Chicago, delves into the complexities of morality and neutrality in social behavior. His research reveals that staying neutral in political disputes can often lead to perceptions of distrust, as observers may view it as strategic deception. The conversation also touches on child development's role in shaping moral concepts, the dynamics of friendship among children, and offers insightful advice for PhD applicants on aligning research interests with mentors.
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Jan 17, 2025 • 50min

145 - Marginalia Episode: Erica Bailey on Authenticity

Marginalia Episode is a collaboration between the Stanford Psychology Podcast and Marginalia Science. Marginalia Science is a community committed to promoting work of scholars who are traditionally underrepresented in academia. Their mission really resonated with our values at the Stanford Psychology Podcast.In each Marginalia Episode, we feature a guest who has been featured in the Marginalia Science Monthly Newsletter. In this episode, Enna chats with Professor Erica Bailey at UC Berkeley Haas School of Business. Erica broadly studies the construct of authenticity, asking questions like, how do we know who we are? When do we feel the most like ourselves? Why do we often fail, despite our best efforts, to share our inner world with others? In this episode, we discuss her recent paper on how self-perceptions influence subjective authenticity. To learn more about Erica, you can read the Marginalia Science Newsletter below.Episode on Marginalia Science: https://www.stanfordpsychologypodcast.com/episodes/episode/7927b876/104-special-episode-marginalia-scienceMarginalia Newsletter featuring Erica: https://substack.com/home/post/p-153969383 Erica’s Paper: https://osf.io/preprints/psyarxiv/9tc27 Erica’s Website: https://sites.google.com/view/ericarbailey Erica’s LinkedIn: https://www.linkedin.com/in/erica-bailey-ph-d-22038172/ Erica’s Twitter: @ericarbaileyEnna’s LinkedIn: https://www.linkedin.com/in/ennayuxuanchen/ Enna’s Twitter: @EnnaYuxuanChenPodcast Twitter: @StanfordPsyPodPodcast Substack: https://stanfordpsypod.substack.com/ Podcast Contact: stanfordpsychpodcast@gmail.com
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Jan 9, 2025 • 54min

144 - Sandra Matz: AI, Social Media, And Data Privacy

In this engaging discussion, Sandra Matz, an Associate Professor of Business at Columbia Business School and author of "Mindmasters," explores how AI and big data are reshaping our understanding of human behavior. She delves into the implications of AI on personal identity and privacy, addressing concerns about algorithmic targeting and echo chambers. Sandra also introduces innovative concepts like federated learning and data co-ops, emphasizing the need for collaborative data management to enhance privacy while harnessing AI's potential in areas like mental health and social connections.

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