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. Please contact css-t32@berkeley.edu for more information.
Upcoming 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
- Feb 1: Title TBD, Adrian Aguilera and Caroline Figueroa, Berkeley School of Social Welfare
- Feb 8: Title TBD, Adam Storer, UC Berkeley Sociology
- Feb 15: No meeting, President’s Day
- Feb 22: Title TBD, Marion Fourcade, UC Berkeley Sociology
- March 1: Title TBD, Angel Ross, UC Berkeley Sociology
- March 8: Title TBD, Mathijs De Vaan, Berkeley Haas School of Business
- March 15: Title TBD, Martin Eiermann, UC Berkeley Sociology
- March 22: No meeting, Spring Break
- March 29: TBD
- April 5: TBD
- April 12: Title, TBD, Suchitra Abel, School of Engineering, Santa Clara University
- April 19: Title, TBD, Alissa Skog, Senior Research Associate, California Policy Lab
- April 26: TBD
- May 3: TBD
- May 10: TBD
- May 17: TBD
- May 24: TBD
- May 31: No Meeting, Memorial Day Holiday
- June 7: TBD
- June 14: TBD
- June 21: TBD
- June 28: TBD
Previous Meetings
2020
- Nov 30: Experiments on the Sociological Origins of Categories, Douglas Guilbeault, Assistant Professor, Management of Organizations, Haas School of Business, UC Berkeley
- Nov 16: Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application, Chris J. Kennedy (UC Berkeley and Harvard Medical School), Geoff Bacon (UC Berkeley), Alexander Sahn (UC Berkeley), and Claudia von Vacano (UC Berkeley)
- Nov 9: Eviction, Displacement, Unemployment, and COVID-19 Infection Risk: Measuring Neighborhood Level Housing Precarity During the Pandemic, Tim Thomas, UC Berkeley Urban Displacement Project
- Nov 2: The Accuracy, Equity, and Jurisprudence of Criminal Risk Assessme, Jennifer Skeem (UC Berkeley) and Christopher Slobogin (Vanderbilt Law School)
- Oct 26: A university map of course knowledge, Zachary Pardos, Associate Professor, Graduate School of Education, UC Berkeley
- Oct 19: Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost, Igor Chirikov, Center for Studies in Higher Education, Goldman School of Public Policy, UC Berkeley
- Oct 12: Accelerating Computational Reproducibility in Economics (ACRE), Katie Hoeberling and Fernando Hoces de la Guardia, Berkeley Initiative for Transparency in the Social Sciences (BITSS)
- Oct 5: Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy, Peng Ding, Statistics, UC Berkeley
- Sept 28: A Supercomputer Reviews the Literature on Organizations: Combining Supervised and Unsupervised Text-Analysis Methods, Jaren Haber(Georgetown University) and Heather A. Haveman (UC Berkeley), and Yoon Sung Hong (Wayfair)
- Sept 21: The Emergence of Insight at the California Board of Parole Hearings, Isaac Dalke, UC Berkeley Sociology Department
- Sept 14: How Do Threats Induce Information Seeking?: When Natural Experiments Meet Text Data, Jae Yeon Kim, UC Berkeley
