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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

Eric Aldrich
21 March 2017, 3:30pm
Marshall-Adams building, rm5A (Koo room)