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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

See "Current Events"
page for details

  • Eric Aldrich.
    21 March 2017
  • Shahryar Minhas.
    27 March 2017
  • Elizabeth Menninga.
    31 March 2017.
  • Brendan O'Connor.
    7 April 2017.
  • Brandon Prins. 
  • 21 April 2017.
  • Jim Morrow.
    24 April 2017.
  • Michaela Mattes. 
    28 April 2017.