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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.



Bayes and Bagels
9:15am: Tuesday, August 23rd
319 Nisbet Building

Upcoming Workshops

iCER Software Carpentry workshop
15-17 August 2016

Bayes and Bagels (the final one!)
"Discussing Monkeys and Missing Data"
23 August 2016, 9:15am
319 Nisbet Building

iCER Software Carpentry "Train the Trainers" event
Late October 2016.
Specifics TBA.

Upcoming invited talks

David Lazer 
(jointly sponsored with College of Education)
2 November 2016.