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Data-Intensive Social Science Challenge Symposium
September 13, 2018 @ 9:00 am - 2:00 pm
Weiser Hall, 10th Floor
Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass. This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub. The two Challenge Award teams will give in-depth presentations, and all participants are encouraged to submit posters on research related to data-intensive social science.
9 am: Introduction
9:05 am to 11:35 pm: Challenge Award presentations
- Computational Approaches for the Construction of Macroeconomic Data, Matthew Shapiro and team
- A Social Science Collaboration for Research on Communication and Learning Based upon Big Data, Michael Traugott and the UM-Georgetown team
11:35 am to 1 pm: lunch, poster session and networking (Please fill out this form to submit a poster; deadline is Monday, September 10)
1 to 2 pm: Panel discussion: the future of data-intensive social science research at U-M
- Martha Bailey, Professor, Economics, University of Michigan
- Sara Heller, Assistant Professor, Economics, University of Michigan
- Matt Shapiro, Professor, Economics, University of Michigan
- Lisa Singh, Professor, Computer Science, Georgetown University
- Mike Traugott, Professor Emeritus, Communication Studies, Political Science, University of Michigan