This weekly workshop highlights the work of those pioneering data science analytical techniques and social science and computation methods while bringing together graduate students, post-docs, and faculty all working at the nexus of computation and big, social science questions. The workshop also allows regular participants to share works in progress for feedback, fosters robust dialogue between young scholars in these emerging fields, and showcases local scholars leading pedagogical seminars on new papers or methods.

The 2022-2023 Computational Social Science Workshop meets each Thursday from 11:00 am to 12:20 pm. 

You can join our official listserv here. Students in the Masters of Computational Social Science program are expected to attend and join the discussion by posting a comment on the first issues page of the workshop’s public repository.


Autumn 2022


November 17: Modelling Impressions from Faces

Alexander Todorov, Professor of Behavioral Science, University of Chicago

The talk will be held in person in Kent Hall Room 107.

This week’s recommended readings:

November 10: Workplace Networks and the Dynamics of Labor Organizing

Suresh Naidu, Associate Professor of International and Public Affairs and Economics, Columbia University

The talk will be held in person in Kent Hall Room 107.

This week’s recommended readings:

November 03: Could a Neuroscientist Understand A Microprocessor?

Eric Jonas, Assistant Professor for the Department of Computer Science, University of Chicago

The talk will be held in person in Kent Hall Room 107.

This week’s recommended readings:

Ocotober 27: Toward a Unifying Framework for Combining Strengths of Humans and ML Toward Better Predictive Decision- Making

Hoda Heidari, Assistant Professor at Carnegie Mellon University

The talk will be held in person in Kent Hall Room 107.

This week’s recommended readings: