Matrix Podcast

Social Science Matrix

The Matrix Podcast features interviews with social scientists from across the University of California, Berkeley campus (and beyond). It also features recordings of events, including panels and lectures. The Matrix Podcast is produced by Social Science Matrix, an interdisciplinary research center at the University of California, Berkeley.

  1. 22 HR AGO

    Matrix Teach-In: Ula Taylor, "The Making of Frances M. Beal's Black Feminist House"

    Recorded on February 19, 2026, this video presents a lecture by Ula Taylor, Professor and Chair of the Department of African American Studies & African Diaspora Studies. The talk centered on Professor Taylor's current work in progress, an oral biography of Frances M. Beal. The talk was co-sponsored by the UC Berkeley Department of African American Studies and the Department of Gender and Women's Studies. A transcript of this talk is available at https://matrix.berkeley.edu/research-article/taylor-teach-in. About Matrix Teach-Ins Matrix Teach-Ins are a new series designed to bring UC Berkeley's most engaging social science lectures into a public setting. Instructors will share their favorite lesson, the one students remember long after the semester ends, as a stand-alone lecture reimagined for anyone curious to learn. Abstract In this talk, I am going to share with you snapshots into the making of Frances M. Beal's Black Feminist House. A house that she describes as being built by hindsight bricks, moments where she questioned, critiqued, or became angry about racism and gender oppression. The scenes are from a larger book-length project that explores how Beal became both a feminist and a radical during the 1960s and 70s. Understanding her intellectual and political evolution is important for 21st-century activists because I explore fatigue and failures alongside empowering sisterhood, pleasurable heterosexual sex, and disciplined study. By doing so, I aim to bring to the fore the exhaustion and exhilaration. About the Speaker Ula Taylor earned her doctorate in American History from UC Santa Barbara. She is the author of The Promise of Patriarchy: Women and the Nation of Islam, The Veiled Garvey: The Life and Times of Amy Jacques Garvey, co-author of Panther: A Pictorial History of the Black Panther Party and The Story Behind the Film and co-editor of Black California Dreamin: The Crisis of California African American Communities. Her articles on African American Women's History and feminist theory have appeared in the Journal of African American History, Journal of Women's History, Feminist Studies, SOULS, and other academic journals and edited volumes. In 2013 she received the Distinguished Professor Teaching Award for UC Berkeley. Only 5% of the academic senate faculty receive this honor, and she is the second African American woman in the history of the University to receive this award.

    43 min
  2. 2 FEB

    "Some College" and the Social Function of Higher Education: An Interview with Sarah Payne

    What are the economic consequences of starting, but not completing college? On this episode of the Matrix Podcast, Sarah Harrington, Program Manager at Social Science Matrix, spoke with Sarah Payne, a sociologist who recently published a paper in Sociology of Education that examined what happens when students begin college but fail to graduate. "Although non-completion yields higher income than never attending college, it also increases financial hardship among more-disadvantaged groups through the mechanism of student debt," Payne wrote. "However, non-completers of most groups would have had greater income and experienced less financial hardship had they graduated." Payne is currently a Postdoctoral Research Associate at The Broad Center at Yale School of Management. She earned a PhD and an MA in sociology from UC Berkeley and bachelor's degrees from Wellesley College. She studies culture, inequality, and organizations, particularly in contexts of education and precarious work, using quantitative and qualitative methods. Her research investigates how racial inequality is produced, reproduced, and mitigated, as well as the meaning people make of it. She examines PK-12 schools, higher education, and work in early adulthood as contexts where these processes happen. She is particularly interested in inequality at the intersections of race, gender, and class, and in how subjectivity (selves, emotions, mental health, social psychology, agency), culture, and debt relate to racial inequality in organizations and society. Payne's work has been supported by the National Science Foundation Graduate Research Fellows Program and the Institute for Research on Labor and Employment at UC Berkeley. Prior to graduate school, Payne worked in PK-12 public education and college access, state government, and public interest organizing. She has been a middle school teacher and college counselor in Louisiana, and she co-founded College Beyond, a college persistence non-profit serving Pell-eligible undergraduates in the Greater New Orleans region. A full transcript of the recording is available at https://matrix.berkeley.edu/research-article/sarah-payne.

    30 min
  3. 16/12/2025

    Alexis Madrigal: "To Know A Place"

    Recorded on December 4, 2025, this video features a Social Science Matrix Distinguished Lecture, "To Know a Place," presented by journalist and author Alexis Madrigal.   Madrigal has long explored how technology, culture, and environment shape our lives; from his work co-founding The COVID Tracking Project to his books Powering the Dream and The Pacific Circuit. In this talk, Madrigal turns his attention to the question of how we come to know a place. Drawing on his background as a reporter, writer, and thinker of cities, landscapes, and histories, he explores different ways of writing about and understanding place, revealing how perspective, memory, and narrative inform the stories we tell about the world around us.   About the Speaker   Alexis Madrigal is a journalist in Oakland, California. He is the co-host of KQED's current affairs show, Forum, and a contributing writer at The Atlantic, where he co-founded The COVID Tracking Project. Previously, he was the editor-in-chief of Fusion and a staff writer at Wired. His latest book, The Pacific Circuit, came out in March 2025 from MCD x FSG. He is the proprietor of the Oakland Garden Club, a newsletter for people who like to think about plants.   Madrigal authored the book Powering the Dream: The History and Promise of Green Technology. He has been a visiting scholar at UC Berkeley's Information School and UC Berkeley's Center for the Study of Technology, Science, and Medicine as well as an affiliate with Harvard's Berkman Klein Center for Internet & Society. He was born in Mexico City, grew up in rural Washington State, and went to Harvard.   A transcript of this recording is available at https://matrix.berkeley.edu/research-article/alexis-madrigal.

    57 min
  4. 16/12/2025

    Maximilian Kasy: "The Means of Prediction: How AI Really Works (and Who Benefits)"

    Recorded on December 2, 2025, this video features a talk by Maximilian Kasy, Professor of Economics at the University of Oxford, presenting his book The Means of Prediction: How AI Really Works (and Who Benefits). This talk was part of a symposium series presented by the UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS), which trains doctoral students representing a variety of degree programs and expertise areas in the social sciences, computer science and statistics. The talk was co-sponsored by Social Science Matrix, the Berkeley Economy and Society Initiative (BESI) Tech Cluster, the Berkeley Institute for Data Science (BIDS), and the UC Berkeley Department of Economics. A transcript of this recording can be found at https://matrix.berkeley.edu/research-article/max-kasy. About the Book AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation—a sense that the technology is our shared fate. As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions—choices made to date by the ownership class that steers its development and deployment. Kasy shows that the technology of AI is ultimately not that complex. It is insidious, however, in its capacity to steer results to its owners' wants and ends. Kasy clearly and accessibly explains the fundamental principles on which AI works, and, in doing so, reveals that the real conflict isn't between humans and machines, but between those who control the machines and the rest of us. The Means of Prediction offers a powerful vision of the future of AI: a future not shaped by technology, but by the technology's owners. Amid a deluge of debates about technical details, new possibilities, and social problems, Kasy cuts to the core issue: Who controls AI's objectives, and how is this control maintained? The answer lies in what he calls "the means of prediction," or the essential resources required for building AI systems: data, computing power, expertise, and energy. As Kasy shows, in a world already defined by inequality, one of humanity's most consequential technologies has been and will be steered by those already in power. Against those stakes, Kasy offers an elegant framework both for understanding AI's capabilities and for designing its public control. He makes a compelling case for democratic control over AI objectives as the answer to mounting concerns about AI's risks and harms. The Means of Prediction is a revelation, both an expert undressing of a technology that has masqueraded as more complicated and a compelling call for public oversight of this transformative technology. About the Speaker Maximilian Kasy received his PhD at UC Berkeley and joined Oxford after appointments at UCLA and Harvard University. His current research interests focus on social foundations for statistics and machine learning, going beyond traditional single-agent decision theory. He also works on economic inequality, job guarantee programs, and basic income. Kasy teaches a course on foundations of machine learning at the economics department at Oxford. Learn more at his website.

    1h 7m
  5. 16/12/2025

    Matrix Teach-In: Seth Lunine

    Recorded on November 17, 2025, this recording features a talk by Seth Lunine, Lecturer in the UC Berkeley Department of Geography, who presented a talk reflecting on his experiences with collaborative scholarship between UC Berkeley undergraduates and community-based organizations in Oakland's Fruitvale District. Lunine's courses are part of the American Cultures Engaged Scholarship (ACES) Program, which aims to transform how faculty's community-engaged scholarship is valued, to enhance learning for students through a combination of teaching and practice, and to create new knowledge that has an impact both in the community and the academy. In Fall 2024, students in Lunine's Geography 50AC: California collaborated with Canticle Farm and Restorative Media, two nonprofits located in the Oakland Fruitvale District. ACES students developed story maps to represent the spatial histories of the Canticle Farm site. To create these story maps, they analyzed historical newspaper articles, real estate promotions, archeological reports, and city planning documents, revealing legacies of Indigenous stewardship, the Brown Power movement, redlining, and criminalization that has shaped Canticle Farm. Another group of ACES students collaborated with the Executive Director of Restorative Media, an organization led by formerly incarcerated and systems-impacted people, to interview Canticle Farm stakeholders about their movement activism and life stories. This event was co-sponsored by the Berkeley Public Service Center, and presented as part of a new event series featuring talks by UC Berkeley lecturers and professors who earn praise from students for their teaching. The speakers are invited to deliver a favorite standalone lecture, reimagined for anyone curious to learn. A transcript of this talk is available at https://matrix.berkeley.edu/research-article/seth-lunine.

    1h 6m

About

The Matrix Podcast features interviews with social scientists from across the University of California, Berkeley campus (and beyond). It also features recordings of events, including panels and lectures. The Matrix Podcast is produced by Social Science Matrix, an interdisciplinary research center at the University of California, Berkeley.