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

, Stanford University Introduction: David Madigan, Columbia University

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

10:20-10:35 AM – Break

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

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

11:55 AM-1:00 PM – Lunch

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

Jeffrey Dean , Google

, 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

, 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

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