Computing and statistics underpin the rapid emergence of data science as a pivotal academic discipline.

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.


9:00-9:05 AM – Introduction

  • Jeannette Wing, Columbia University

9:05-9:40 AM – Keynote Talk

  • Emmanuel Candès, Stanford 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"

1:35-2:10 PM – Keynote Talk: "Human Biology through the Lens of Data"

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

Steering Committee

Event Co-Chairs

  • Jeannette Wing, Columbia University, USA
  • David Madigan, Columbia University, USA

Steering Committee

  • Magdalena Balazinska, University of Washington, USA
  • Joseph Gonzalez, University of California Berkeley, USA
  • Chris Holmes, University of Oxford, UK
  • Yannis Ioannidis, National and Kapodistrian University of Athens, Greece
  • Ryan Tibshirani, Carnegie Mellon University, USA
  • Daniela Witten, University of Washington, USA

Register Today!

ACM & IMS Members $250
Non-Members $350
Students $100

Seating is limited so register early!

Corporate Sponsors

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