ACM and the Institute of Mathematical Statistics are hosting the ACM-IMS Interdisciplinary Summit on the Foundations of Data Science. This full-day event will bring together distinguished speakers and panelists addressing topics such as deep learning, reinforcement learning, fairness, and ethics, in addition to discussions about the future of data science and the role of ACM and IMS. Keynote speakers are ACM award recipients Jeff Dean and Daphne Koller, and MacArthur Fellow David Donoho. There will be limited seating, so register early.
Panels and panelists include:
Deep Learning, Reinforcement Learning, and Role of Methods in Data Science
- Shirley Ho, Flatiron Institute
- Sham Kakade, University of Washington
- Suchi Saria, Johns Hopkins University
- Manuela Veloso, J. P. Morgan, Carnegie Mellon University
Robustness and Stability in Data Science
- Aleksander Madry, Massachusetts Institute of Technology
- Xiao-Li Meng, Harvard University
- Richard J. Samworth, University of Cambridge, Alan Turing Institute
- Bin Yu, University of California, Berkeley
Fairness and Ethics in Data Science
- Alexandra Chouldechova, Carnegie Mellon University
- Andrew Gelman, Columbia University
- Kristian Lum, HRDAG (Human Rights Data Analysis Group)
Future of Data Science
- Michael I. Jordan, University of California, Berkeley
- Adrian Smith, Alan Turing Institute