The Computational Social Science Workshop is a forum to bring together faculty and graduate students from a wide array of disciplines to discuss and learn practical applications of diverse computational methodologies with social data.
Matthew Salganik (Princeton University)
Colter Mitchell (University of Michigan)
Jeremy Freese (Stanford University)
Friday, 6 October, 3:10 PM
Abstract: New Data Science methods and mass collaborations pose both exciting opportunities and important challenges for social science research. This panel will explore the relationship between these new approaches and traditional survey methodology. Can they coexist, or even enrich one another? Dr. Mathew Salganik is one of the lead organizers of the Fragile Families Challenge, which uses data science approaches such as predictive modeling, mass collaboration, and ensemble techniques in the context of the long-running Fragile Families and Child Wellbeing panel survey. Dr. Jeremy Freese is co-PI of the General Social Survey and of a project on collaborative research in the social sciences. Dr. Colter Mitchell is research faculty at the Institute for Social Research and has done innovative work combining biological data and methods with Fragile Families and other survey data sets.
Please promote this event widely.
Graduate students are invited to an informal lunch with Drs. Salganik and Freese from 12 – 1 PM on the same day. Please RSVP so we know how much food to order.
Faculty may schedule meetings with Drs. Salganik and Freese by emailing (@umich.edu) jwlock.
Computational Social Science Rackham Interdisciplinary Workshop
Population Studies Center (PSC) Freedman Fund
Michigan Institute for Data Science (MIDAS)
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