Watch the video of Clair Brown, Professor of Economics and Director of the Center for Work, Technology, and Society at UC Berkeley, discussing her book, Buddhist Economics: An Enlightened Approach to the Dismal Science. The conversation was introduced by Christina Maslach, Professor of the Graduate School of Psychology, UC Berkeley.

UC Berkeley postdoctoral researcher Jordan B. Leitner investigates the connections between health disparities and levels of racial bias within communities.

Promoting spaces for diverse scholarship in the geography discipline is vital, say UC Berkeley Geography PhD candidates Camilla Hawthorne and Brittany Meché.

On November 30, 2016, UC Berkeley's Social Science Matrix welcomed Arlie Russell Hochschild, Professor Emerita of Sociology, for a discussion of her new book, Strangers in Their Own Land: Anger and Mourning on the American Right (The New Press, September 2016), a National Book Award Finalist.

On September 16, 2016, Social Science Matrix hosted Cathy O'Neil, author of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. In her book (and presentation), O'Neil—a Harvard-trained mathematician and former hedge fund data analyst—discusses how many of the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. The problem, she explains, is that they are often WMDs—widespread, mysterious, and destructive—making them "Weapons of Math Destruction."

Social Science Matrix is honored to welcome our inaugural group of Matrix Dissertation Fellows, five Ph.D. students whose research has strong potential to generate effective solutions to critical global challenges.

The capability to democratically distribute tasks within a directed project presents novel possibilities for researchers—and social scientists at UC Berkeley are taking advantage.

Professor Juana María Rodríguez, from UC Berkeley's Department of Gender and Women’s Studies, suggests that scholars in the field of Queer Studies would benefit from a turn to statistics as a lens into bisexuality and other identities.