Sameer Srivastava, University of California Berkeley

What Divides Us? A Novel Approach to Measuring Cultural Differences through Schemas
Sameer Srivastava


Winter 2020
Lecture Time: 
Friday, March 27, 2020 - 1:30pm to 3:00pm
Lecture Location: 
R0220 Ross School of Business

Recording & Additional Notes

Sameer B. Srivastava is Associate Professor and Harold Furst Chair in Management Philosophy and Values at UC Berkeley's Haas School of Business and is also affiliated with UC Berkeley Sociology. His research unpacks the complex interrelationships among the culture of social groups, the cognition of individuals within these groups, and the connections that people forge within and across groups. Much of his work is set in organizational contexts, where he uses computational methods to examine how culture, cognition, and networks relate to career outcomes. His work has been published in journals such as American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Management Science, and Organization Science. It has been covered in media outlets such as The New York Times, Fortune, The Wall Street Journal, Financial Times, and Forbes. Sameer teaches a popular MBA elective course, Power and Politics in Organizations, and co-directs the Berkeley-Stanford Computational Culture Lab. In a prior career, Sameer was a partner at a global management consultancy (Monitor Group; now Monitor Deloitte). He holds AB, AM, MBA, and PhD degrees from Harvard University.

Reading List

Boutyline, A., 2017. Improving the measurement of shared cultural schemas with correlational class analysis: Theory and method. Sociological Science, 4(15), pp.353-393.

Hunzaker, M.F. and Valentino, L., 2019. Mapping Cultural Schemas: From Theory to Method. American Sociological Review, 84(5), pp.950-981.

Hunzaker, M.F., 2016. Cultural sentiments and schema-consistency bias in information transmission. American Sociological Review, 81(6), pp.1223-1250.

Miles, Andrew, Raphaël Charron-Chénier, and Cyrus Schleifer. "Measuring Automatic Cognition: Advancing Dual-Process Research in Sociology." American Sociological Review 84, no. 2 (2019): 308-333.