Data-Intensive Social Science Challenge Symposium

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.

Registration | Poster submission form (Due Monday, Sept. 10)

Preliminary Schedule:

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