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. For the Fall 2020 semester, meetings being held virtually on Mondays at 12:00-1:30 PM Pacific Time, and interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links. Please contact firstname.lastname@example.org for more information.
- Sept 14: How Do Threats Induce Information Seeking?: When Natural Experiments Meet Text Data - Jae Yeon Kim, UC Berkeley
- Sept 21: The Emergence of Insight at the California Board of Parole Hearings, Isaac Dalke, UC Berkeley Sociology Department
- Sept 28: A Supercomputer Reviews the Literature on Organizations: Combining Supervised and Unsupervised Text-Analysis Methods, Jaren Haber (Georgetown University), Heather A. Haveman (UC Berkeley), and Yoon Sung Hong (Wayfair)
- 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
- Oct 12:
- Oct 19:
- Oct 26:
- Nov 2: The Accuracy, Equity, and Jurisprudence of Criminal Risk Assessment, Jennifer Skeem (UC Berkeley) and Christopher Slobogin (Vanderbilt Law School)
- Nov 9:
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- Nov 30:
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- Dec 14: