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CIPA COVID-19 Policy Discussion: Artificial Intelligence, Data Science, and Global Pandemics

Thursday, May 28, 2020 at 7:00pm to 8:00pm

Virtual Event

Ning Su, Visiting Associate Professor at CIPA, is an expert on global innovation strategies and policies, and qualitative research methods. He holds a Ph.D. from the Stern School of Business of New York University, an M.S. from the University of Toronto, Canada and a B.S. from Fudan University, China. He has worked at IBM in New York and News Corporation in Hong Kong, and advises a portfolio of companies, government agencies, and public and not-for-profit organizations worldwide.

Kush R. Varshney, is a distinguished research staff member and manager at IBM Research - T. J. Watson Research Center where he leads the machine learning group in the Foundations of Trusted AI department and is the founding co-director of the IBM Science for Social Good initiative. He received a B.S. degree from the School of Electrical and Computer Engineering at Cornell University in 2004 and a Ph.D. degree from the Massachusetts Institute of Technology in 2010. He is currently writing a book entitled "Trustworthy Machine Learning" with Manning Publications.

Topic: Digital technologies are becoming increasingly important during global pandemics and epidemics, including today’s COVID-19. We will discuss the role machine learning, data science, and artificial intelligence technologies have to play in mitigating, managing, and curing global pandemics. We will also emphasize the institutional changes required in how collaborative scientific discovery is conducted.

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