Stanford Psychology Podcast

Anjie chats with Dr. Laura Gwilliams.  Laura is an assistant professor at Stanford University, jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. In this episode, Laura introduces her recent paper titled” Large-scale single-neuron speech sound encoding across the depth of human cortex”. She shares the insights we can derive from a recently developed technique called Neuropixels, which is essentially a tiny needle that can be placed into the human brain and record from hundreds of neurons at the same time. She also shares her personal journey into this line of work.  If you found this episode interesting at all, subscribe on our Substack and 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. Laura’s paper: https://www.nature.com/articles/s41586-023-06839-2Laura’s personal website:https://lauragwilliams.github.io/Laura’s lab website:https://gwilliams.sites.stanford.edu/ Anjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_cao Podcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com 

Psychologist Paul van Lange discusses trust, cooperation, and climate change barriers. Topics include selfish perceptions, kindness, stranger danger, and changing worldviews. Emphasizes the importance of trust in social interactions and the impact of research on shaping behavior.

How personal interests impact brain development, especially in children with and without autism. The use of fMRI to study brain responses to language based on interests. Exploring the dynamics and functionality of interest, and the connection between self-referential processing and personal interests in MRI studies.

Anjie chats with Dr. Guilherme Lichand. Guilherme is an assistant professor at the Graduate School of Education at Stanford University, and a co-Director at the Stanford Lemann Center. His research interest explores the sources of education inequities in the global south, and in interventions with the potential to overturn them. In this episode, Guilherme talks about his recent paper titled “The Lasting Impacts of Remote Learning in the Absence of Remedial Policies: Evidence from Brazil”. He shares his insights on how remote learning could have negative, long-term impacts on the learning outcomes, especially in places without high quality access to the facilities required by remote learning. He also shares his thoughts on whether the same patterns could generalize to remote work – that is, does work from home have negative impacts on our productivity.  If you found this episode interesting at all, subscribe on our Substack and 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. Guilherme’s paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4209299Guilherme’s personal website:https://lichand.info/ Anjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_cao Podcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

Stanford Graduate School of Business Professor Michele Gelfand discusses tight and loose cultures, cultural norms impacting Covid fears and populist leaders, and her interdisciplinary work. She shares insights on passion, setbacks, and even dressing up as a pickle.

Marginalia Episode is a collaboration between Stanford Psychology Podcast and Marginalia Science, a community committed to including, integrating, advocating for, and promoting members who are not typically promoted by the status quo in academia. In each Marginalia Episode, we feature a guest who has been featured in the Marginalia Science Monthly Newsletter. In this episode, Anjie chats with Dr. Cristina Salvador, an Assistant Professor of Psychology and Neuroscience at Duke University. Cristina examines how culture interfaces with biology to influence our thinking, feeling, and behavior. She analyzes the influence of culture at multiple levels, including the brain, everyday language use, implicit measures, and big data. In this episode, we start our conversation on her recent paper titled “Emotionally expressive interdependence in Latin America: Triangulating through a comparison of three cultural zones.”. To learn more about Cristina, you can read the Marginalia Science Newsletter attached below. Episode on Marginalia Science: https://www.stanfordpsychologypodcast.com/episodes/episode/7927b876/104-special-episode-marginalia-scienceMarginalia Newsletter featuring Cristina:https://marginaliascience.substack.com/p/newsletter-september-2023Cristina’s paper; https://psycnet.apa.org/fulltext/2024-15733-001.pdfCristina’s lab website:https://sites.duke.edu/culturelab/ Crstina’s twitter: @cris_esalvadorAnjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_caoPodcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

This week, Rachel chats with Oriel FeldmanHall,  Professor of Cognitive, Linguistics, and Psychological Sciences at Brown University. Oriel's lab leverages methods from behavioral economics, social psychology, and neuroscience to explore the neural bases of social behavior, and the role of emotion in shaping social interactions. She has won numerous awards, including the Cognitive Neuroscience Society’s Young Investigator Award for outstanding contributions to science, the Association for Psychological Science’s Janet Taylor Spence Award for Transformative Early Career Contributions, and the American Psychological Association’s Distinguished Scientific Award for Early Career Contribution to Psychology. In this episode, Oriel provides an introduction to the world of affective science, explaining how her team measures and studies emotion. She describes how the emotions that we expect to feel—and the inaccuracies in our predictions—shape our judgments and behavior, and the complex relationship between emotion and depression. We also discuss the hazards of sharing scientific findings on twitter, and how some of the best research questions originate in coffee shops.  JOIN OUR SUBSTACK! Stay up-to-date with the podcast and become part of the ever-growing community 🙂 https://stanfordpsypod.substack.com/  If you found this episode interesting, please consider leaving us a good rating! It just takes a minute but will allow us to reach more listeners and make them excited about psychology.  Links: Link to the paper we discussed Check out more of Professor Oriel FeldmanHall's work at the FeldmanHall lab website!  Podcast Twitter @StanfordPsyPod Podcast Substack https://stanfordpsypod.substack.com/  Let us know what you think of this episode or of the podcast by sending us an email at stanfordpsychologypodcast@gmail.com

Jacqueline Gottlieb, Professor of Neuroscience at Columbia University, discusses the ambiguity of uncertainty, challenges traditional views on decision-making, and explores the influence of personality traits on information gathering. She also delves into the role of emotions in dealing with uncertainty and highlights the importance of curiosity and exploration in artificial intelligence and understanding human behavior.

Dr. Michal Kosinski, Associate Professor of Organizational Behavior at Stanford University, discusses his research on theory of mind in Large Language Models (LLMs) and reasoning biases. They explore emergent properties in LLMs, the importance of theory of mind in language, testing theory of mind in LLMs, cognitive bias in solving tasks, reasoning vs intuition in language models, and the use of theory of mind tasks in LLMs. They also touch on artificial networks rediscovering human mechanisms and the guest's scientific journey.

Anjie chats with Dr. Joshua Hartshorne, an assistant professor of psychology at Boston College where he directs the Language Learning Laboratory. He studies language learning from a variety of aspects, including but not limited to: bootstrapping language acquisition, relationship between language and commonsense, as well as the critical periods in learning new languages. In this episode, they chat about Josh’s recent work on second language acquisition: “Will children learn English faster if their native language is similar to English?”. Josh also shares some insights on the best way to teach language to kids and adults.If you found this episode interesting at all, subscribe on our Substack and 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.Josh’s paper: https://l3atbc-public.s3.amazonaws.com/pub_pdfs/Yun%20et%20al%202023.pdfJosh’s personal profile: https://www.bc.edu/bc-web/schools/mcas/departments/psychology/people/faculty-directory/joshua-hartshorne.htmlJosh’s lab website: http://l3atbc.org/index.htmlAnjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_caoPodcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com