Data-Intensive Social Science Challenge Symposium

By |

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

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

Michigan Institute for Data Science (MIDAS) announces second round of Challenge Thrust competition: Social Science & Health Science

By | General Interest, News

The Michigan Institute for Data Science (MIDAS) is pleased to announce the second competition for MIDAS Challenge Thrust awards. These awards are intended to stimulate research in key areas identified at our inaugural symposium last fall, and will lay the foundation for future funding from government, private foundations, or industry.

Requests for Proposals (RFPs) are available for awards in Data Science for Social Science and Health Science. Up to two projects will be funded at a level of approximately $1.25 million each in both of these Challenge Thrust areas.

White papers describing project goals and teaming arrangements are due May 16, 2016, and full proposals are due September 12, 2016. Awards will be announced on October 10, 2016. 

Successful research projects will cut across disciplines, have the potential for disruptive impact in the field, and hold promise for advancing the methodological foundations of data science. Interested researchers can learn more about these two MIDAS Challenge Thrust areas and connect with potential collaborators at two upcoming town hall meetings.

Upcoming Town Halls

Health Science

  • Wednesday, March 30, 2016, 5-7 p.m., Henderson Room, Michigan League

Social Science

  • Thursday, March 31, 2016, 5-7 p.m., Institute for Social Research

RFPs for the MIDAS Challenge Thrust awards in the Learning Analytics and Transportation areas were released in fall 2015. Awards in those areas will be announced this spring.

For more information, email, or visit our RFP page at

ICPSR Summer Undergraduate Internship Program accepting applications — Jan. 31 deadline

By | Educational, Events

The ICPSR summer internship program provides undergraduate students with a unique and expansive research experience that introduces all aspects of social science research and includes supported exploration of a research query from start to finish, data management training, and focused methodological education in quantitative research. This prepares interns for capstone or senior thesis projects, graduate school, and/or research-based employment opportunities. The students, under the supervision of faculty mentors, develop a research question, perform a literature search and review, complete data analysis, and report findings in a poster; learn good data management processes and research practices with a research process mentor; and attend classes at the ICPSR Summer Program in Quantitative Methods.

Applications are being accepted through Jan. 31. Visit the internship website for more information.