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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 Workshops

PC to HPC: Intro Parallel Computing
9/21/2016, 11:00am - 1:00pm
Biomedical & Physical Sciences Building, Room 1455A
Cost: FREE 

Fifth Annual MSU CyberInfrastructure (CI) forum
10/06/2016, 8:30am - 4:30pm
MSU Union Ballroom
Cost: FREE 

iCER "Train the Trainers" workshop
9:00am October 20-21, 2016
Biomed and Phys Sci Building, 2215F

Upcoming invited talks

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