Computational Social Science Forum

The Computational Social Science Forum provides an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Our goal is to improve computational social science research, support the development and research of our members, and foster new collaborations. Weekly meetings are hosted by researchers from BIDS and D-Lab, and participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. We welcome social scientists researchers with interests in data science methods and tools, and data scientists with interests in public policy and the social, behavioral, and health sciences. Our participants include graduate students, postdocs, staff, and faculty, and members are encouraged to attend regularly in order to foster community.  

This Forum was launched in Fall 2020 as part of the Computational Social Science Training Program, and interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links.  It is currently being organized by Dave Harding, Professor of Sociology and Faculty Director of D-Lab at UC Berkeley; Adam Anderson, BIDS Research Training Program Manager; and Douglas Guilbeault, Assistant Professor of Management of Organizations at the Berkeley Haas School of Business. Contact for more information. View previous events in the CSS Training Program video archive.

Spring 2021 Meetings

Computational Social Science Forum
Date: Weekly on Mondays starting on February 1, 2021
Time: 12:00-1:30 PM Pacific Time
Location: Virtual Participation

Previous Meetings



BIDS Affiliates

David J. Harding

Sociology, D-Lab, UC Berkeley
Faculty Affiliate

Adam G. Anderson

BIDS Alum — Research Training Program Manager