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Symposium
COVID-19 Symposium Day 1
Andrew Beam · Tristan Naumann · Katherine Heller · Elaine Nsoesie

Tue Dec 08 12:00 PM -- 04:00 PM (PST) @

The COVID-19 global pandemic has disrupted nearly all aspects of modern life. This year NeurIPS will host a symposium on COVID-19 to frame challenges and opportunities for the machine learning community and to foster a frank discussion on the role of machine learning. A central focus of this symposium will be clearly outlining key areas where machine learning is and is not likely to make a substantive impact. The one-day event will feature talks from leading epidemiologists, biotech leaders, policy makers, and global health experts. Attendees of this symposium will gain a deeper understanding of the current state of the COVID-19 pandemic, challenges and limitations for current machine learning capabilities, how machine learning is accelerating COVID-19 vaccine development, and possible ways machine learning may aid in the present and future pandemics.

Author Information

Andrew Beam (Harvard)
Tristan Naumann (Microsoft Research)
Katherine Heller (Duke)
Elaine Nsoesie (Boston University School of Medecine)

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