MIDAS has organized a weekly seminar series since 2015, which brought many prominent researchers to U-M as speakers and enabled research conversations both between these speakers and U-M researchers, as well as among U-M researchers. However, because of the nature of data science and AI research, the seminars cover a very wide range of topics and any particular topic is covered by a small number of seminars scattered throughout the year. In order to intensify research interactions that such seminars initiate, we will experiment with a new format in the 2022-2023 academic year. Instead of weekly seminars, we will collaborate with our faculty members to organize 3-4 research colloquia each semester. With this call, we invite faculty members to submit proposals for such colloquia.
Upcoming Seminars
Winter 2022 Seminar Schedule
January 2022
January 10th – Chris Lindsell, Vanderbilt University Medical Center (Virtual)
January 24th – Rebecca Hubbard, Hospital of the University of Pennsylvania (Virtual)
January 31st – Lia Corrales, University of Michigan (Virtual)
February 2022
February 7th – Enrico Di Minin, University of Helsinki (Virtual)
February 14th – TBD
February 21st – Virginia Dignum, UmeÃ¥ University (Virtual)
March 2022
March 7th – Jennifer Bobb, Kaiser Permanente Washington Health Research Institute (Virtual)
March 8th РCl̩ment Royer, Universit̩ Paris Dauphine РPSL (In-person)
March 14th – Donglin Zeng, University of North Carolina (Virtual)
March 15th – Yuri M. Zhukov & Ken Kollman, University of Michigan (In-person)
March 21st – Yun Song, UC Berkeley (In-person)
March 28th – Matthew Salganik, Princeton University (Virtual)
April 2022
April 4th – Sabina Leonelli, University of Exeter (Virtual)
April 11th – Damon Woodard, University of Florida – Gainesville *CANCELLED*
April 14th – Cynthia Rudin, Duke University (Virtual)
April 18th – Sandra Gonzalez-Bailon, University of Pennsylvania (Virtual)
Thank You to Our Sponsors
Past Seminars
2022
2021
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Phebe VayanosWiSE Gabilan Assistant Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California; Associate Director of CAIS, the Center for Artificial Intelligence in Society at USCTowards robust, interpretable, and fair social and public health interventions
2020
2019
2018
2017
2015 and 2016
