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Social Science Data Analytics (SSDA)

The Social Science Data Analytics (SSDA) initiative facilitates research and training that harness computational advances to better understand dynamic multi-scale social problems. We serve as a forum to connect researchers interested in applying Bayesian data analysis, causal inference, machine learning, dynamic interactive visualization or other computationally-intensive tools to social science relevant Big Data. Our goal is to highlight and build on MSU's strengths in analytics, as well as inspire innovations across the social sciences.

Upcoming invited talks

Gary King:
"Big data is not about the data"
6 October 2016, 6:30pm
Natural Science Building, rm326

David Lazer 
"Computational Social Science"
2 November 2016, 3:00pm
Erickson Hall. 
Space is LIMITED: please
contact Michael Colaresi at for details