Upcoming Events

Matrix On Point

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Matrix on Point: Conspiracy Theories

Drawing on diverse academic perspectives, this panel discussion will explore the nature of conspiracy theories, their societal implications, and how they are understood and addressed. The panel will feature Michael M Cohen, Associate Professor of American Studies and African American Studies at UC Berkeley, and Tim Tangherlini, Professor in the Department of Scandanavian and the School of Information at UC Berkeley. Lakshmi Sarah, journalist and lecturer at the UC Berkeley Graduate School of Journalism, will moderate.

Matrix On Point

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Matrix on Point: Spaces for Thriving

Physical spaces profoundly influence community well-being. Understanding this relationship is crucial for leveraging planning and policy to foster equitable outcomes. This panel brings together experts to explore how thoughtful planning and strategic policy can shift power toward communities, creating conditions where all can thrive. This discussion will bridge diverse perspectives on environmental conservation, design psychology, and disability studies to illuminate steps toward more just and inclusive environments. 

Matrix On Point

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Financializing Disaster: Insurance and the Climate Crisis

The technical world of insurance is a critical lens through which to understand the escalating crises in climate change and housing. As climate risks intensify, both public and private homeowner insurance markets face unprecedented pressure, revealing the interconnections between housing affordability, wealth inequality, and the broader financialization of our communities. This panel brings together experts from diverse disciplines — including Stephen Collier, Desiree Fields, and Dave Jones — to explore the intersection of insurance, housing, and climate.

CRELS

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

Join us on December 2, 2025 at 4:00pm for 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)." In this book, Kasy shows that 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. He 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.

Matrix Lecture

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Alexis Madrigal: “To Know a Place”

In this Matrix Distinguished Lecture, journalist Alexis Madrigal — host of KQED's Forum and a contributing writer at The Atlantic — 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 will explore different ways of writing about and understanding place, revealing how perspective, memory, and narrative inform the stories we tell about the world around us.