November 15-16, 2016
Michigan League and Rackham Graduate Building

Please join us for the Michigan Institute for Data and AI in Society Annual Symposium, “Big Data: Advancing Science, Changing the World.” The symposium will feature preeminent data scientists from around the world, and will highlight U-M researchers whose work is on the leading edge of innovation and discovery in data-intensive science.

Videos of the symposium are available for viewing on YouTube.


groves_robertRobert M. Groves, Georgetown University
Robert M. Groves is the Gerard J. Campbell, S.J. Professor in the math and statistics department as well as the sociology department at Georgetown University where he has served as the Executive Vice President and Provost since 2012. Groves is a social statistician who studies the impact of social cognitive and behavioral influences on the quality of statistical information.  His research has focused on the impact of mode of data collection on responses in sample surveys, the social and political influences on survey participation, the use of adaptive research designs to improve the cost and error properties of statistics, and public concerns about privacy affecting attitudes toward statistical agencies.


sudipSudip Bhattacharjee, U.S. Census Bureau
Sudip Bhattacharjee is an Associate Professor in the School of Business, University of Connecticut. He currently serves as the Chief, Center for Big Data Research and Applications, US Census Bureau. He is Visiting Faculty at EM Lyon School of Business, France, and Indian School of Business. He was a Visiting Professor at GE Global Research Center, USA. He has previously served as the Assistant Dept. Head of Operations and Information Management, and as the Executive Director of MBA Programs, both in the School of Business, University of Connecticut. His research interests include information systems economics, energy informatics, digital goods and markets, data analytics in IT and operations, and closed loop supply chains.

Panel Discussions

A number of panels will focus on particular areas in data science:

  • Big Data, An International Perspective
  • Methodologies
  • Health Research
  • Social Sciences
  • Transportation
  • Learning Analytics

Speakers and panelists:

aber-smallMichelle Aebersold
U-M School of Nursing
christos-smallChristos Cassandras
Systems Engineering, Boston University
coleman-smallTodd Coleman
Bioengineering, UCSD
dunn-smallMichelle Dunn
Big Data to Knowledge, National Institutes of Health
ensor_kathleenKatherine Ensor
Statistics, Rice University
Carol FlannaganCarol Flannagan
U-M Transportation Research Institute
fletcher_dexter J.D. Fletcher
Institute for Defense Analyses
freelon_deanDeen Freelon
Communications, American University, DC
lethamBen Letham
Core Data Science, Facebook
lin_xihong Xihong Lin
Biostatistics, Harvard University
luo_tomTom Luo
Research Institute of Big Data,Shenzhen University, Hong Kong
rada-smallRada Mihalcea
U-M College of Engineering
schildJonathan Schildcrout
Biostatistics, Vanderbilt University
teasley_stephanieStephanie Teasley
U-M School of Information
pascal-van-hentenryck-smallPascal Van Hentenryck
U-M College of Engineering
vargo_chrisChris Vargo
Big Data and Analytics, University of Colorado, Boulder
vavreck_lynnLynn Vavreck
Political Science, UCLA, contributor to New York Times’ “The Upshot” blog
patrick-wolfe-150x150Patrick Wolfe
Deputy Director, The Alan Turing Institute
Jieping Ye
Associate Director, Didi Chuxing Research Institute
Detailed agenda available.

The symposium will also feature a poster session for faculty and students including opportunities for students to meet with potential employers interested in data scientists.