Data Science and AI Colloquium
Data Science and AI Colloquium
Decision Making and Data Analytics
Decision Making and Data Analytics
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Time and Venue
Time and Venue
December 9, 2022
8:30 a.m. – 4:00 p.m. ET (Reception to follow)
Johnson Rooms, Lurie Engineering Center (3rd floor),
1221 Beal Avenue Ann Arbor, MI (North Campus)
Contact: Tyra Sampson
U-M Industrial and Operations Engineering
Email: tsampson@umich.edu
Co-organizers
Co-organizers
Xiuli Chao, Industrial and Operations Engineering, University of Michigan, email xchao@umich.edu
Stefanus Jasin, Technology and Operations, Ross School of Business, University of Michigan, email: sjasin@umich.edu
Cong Shi, Industrial and Operations Engineering, University of Michigan, email: shicong@umich.edu
Theme of Event
Theme of Event
With the advent of explosive growth in data and computational power, data analytics has become a central theme for decision-making in business organizations. In this MIDAS colloquium, world-renowned researchers and practitioners will discuss recent advances and the latest developments in decision-making through data analytics, and their applications.
The colloquium will offer an excellent opportunity for researchers and practitioners in data analytics to get together, exchange ideas, and foster research collaborations.
Keynote Speakers
Keynote Speakers
Susan Murphy, Harvard John A. Paulson School of Engineering and Applied Sciences
Jonathan Owen, General Motors
Warren Powell, Princeton University and Optimal Dynamics
David Simchi-Levi, Massachusetts Institute of Technology
Panel Discussions
Panel Discussions
Panel 1: Analytics in Healthcare Management
Brian Denton, U-M IOE
Wally Hopp, U-M Ross
Susan Murphy, Harvard University
Jenna Wiens, U-M CSE
Panel 2: Analytics in Mobility and Sharing Economy
Henry Liu, U-M MCity
Jonathan Owen, General Motors
Warren Powell, Princeton University and Optimal Dynamics
Jim Sayer, UMTRI
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