U-M Data Science Symposium 2016

November 15, 8:00 AM - November 16, 2016, 12:00 AM

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.

Schedule

8:00 AM – 8:30 AM

Registration & Coffee

8:30 AM – 8:40 AM

Welcome Remarks

Eric Michielssen, Associate Vice President, Advanced Research Computing

8:40 AM

MIDAS: The Year in Review

Al Hero, John H Holland Distinguished University Professor of Electrical Engineering and Computer Science, R Jamison and Betty Williams Professor of Engineering
Brian Athey, Michael Savageau Collegiate Professor, Chair of Computational Medicine and Bioinformatics, Michigan Medicine

Speakers

Eric Michielssen

Associate Vice President, Advanced Research Computing, the Louise Ganiard Johnson Professor of Engineering, and Professor of Electrical Engineering and Computer Science, U-M College of Engineering

Brian Athey

Michael A. Savageau Collegiate Professor and Chair of the Department of Computational Medicine and Bioinformatics, and Professor of Psychiatry and Internal Medicine

Al Hero

John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science, R. Jamison and Betty Williams Professor of Engineering, Professor of Biomedical Engineering, and Professor of Statistics

Robert M. Groves

Georgetown University

Bio

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.

Sudip Bhattacharjee

U.S. Census Bureau

Bio

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.