ACM, the Association for Computing Machinery, and IMS, the Institute of Mathematical Statistics, the two key academic organizations in these areas, have launched a new joint venture to propel data science and to engage and energize our communities to work together.

ACM and IMS will hold an all-day launch event on June 15, 2019 at the Palace Hotel in San Francisco, California. This 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.

Program

9:00-9:05 AM – Introduction

• Jeannette Wing, Columbia University

9:05-9:40 AM – Keynote Talk: "Making the Black Box Effective: What Statistics Can Offer"

• Emmanuel Candès, Stanford University
• Introduction: David Madigan, Columbia University

9:40-10:20 AM – Panel: Deep Learning, Reinforcement Learning, and Role of Methods in Data Science

• Moderator: Joseph Gonzalez, University of California Berkeley
• Panelists:
• Shirley Ho, Flatiron Institute
• Sham Kakade, University of Washington
• Suchi Saria, Johns Hopkins University
• Manuela Veloso, J.P. Morgan AI Research, Carnegie Mellon University

10:20-10:35 AM – Break

10:35-11:15 AM – Panel: Robustness and Stability in Data Science

• Moderator: Ryan Tibshirani, Carnegie Mellon University
• Panelists:
• Aleksander Madry, Massachusetts Institute of Technology
• Xiao-Li Meng, Harvard University
• Richard J. Samworth, University of Cambridge, The Alan Turing Institute
• Bin Yu, University of California, Berkeley

11:15-11:55 AM – Panel: Fairness and Ethics in Data Science

• Moderator: Yannis Ioannidis, National and Kapodistrian University of Athens
• Panelists:
• Joaquin Quiñonero Candela, Facebook
• Alexandra Chouldechova, Carnegie Mellon University
• Andrew Gelman, Columbia University
• Kristian Lum, Human Rights Data Analysis Group (HRDAG)

11:55 AM-1:00 PM – Lunch

1:00-1:35 PM – Keynote Talk: "Deep Learning for Tackling Real-World Problems"

• Jeffrey Dean, Google
• Introduction: Suchi Saria, Johns Hopkins University

1:35-2:10 PM – Keynote Talk: "Machine Learning: A New Approach to Drug Discovery"

• Daphne Koller, insitro
• Introduction: Kristian Lum, Human Rights Data Analysis Group

2:10-2:20 PM – Break

2:20-2:55 PM – Panel: Future of Data Science

• Moderator: David Madigan, Columbia University
• Panelists:
• Michael I. Jordan, University of California, Berkeley
• Jeannette Wing, Columbia University

2:55-3:00 PM – Closing Remarks: David Madigan and Jeannette Wing, Columbia University