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Data-Intensive Social Science Challenge Symposium

September 13 @ 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.

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

Schedule:

9 am: Introduction

9:05 am to 11:30 am: Challenge Award presentations

11:30 am to 11:45 am: Break

11:45 am to 12:45 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
  • Matthew Shapiro, Professor, Economics, University of Michigan
  • Lisa Singh, Professor, Computer Science, Georgetown University
  • Mike Traugott, Professor Emeritus, Communication Studies, Political Science, University of Michigan

12:45 pm to 2 pm: lunch, poster session and networking (Please fill out this form to submit a poster; deadline is Monday, September 10; poster size can be up to 4 ft high, 6 ft wide)

Details

Date:
September 13
Time:
9:00 am - 2:00 pm
Event Category:
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Register

Venue

Weiser Hall, 10th Floor
500 Church Street
Ann Arbor, MI 48109 United States
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