Moore-Sloan Data Science Environment – Overview
New York University, the University of California, Berkeley and the University of Washington have launched a 5-year, $37.8 million, cross-institutional effort with support from the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation to harness the potential of data scientists and big data for basic research and scientific discovery. NYU competed nationally with fifteen leading universities in the field of data science for this prestigious award, and will receive $12.6 million for its data science enterprise through this initiative.
This bold new partnership—a coordinated, distributed experiment involving researchers at these three leading universities—hopes to establish models that will dramatically accelerate the data science revolution. While data science is already contributing to scientific discovery, substantial systemic changes need to be overcome to maximize its impact on academic research. This ambitious multi-institutional partnership will spur collaborations within and across the three campuses and other partners pursuing similar data-intensive science goals.
“This initiative isn’t just to ‘do’ science—it is to ‘change’ science. To that end, we have designed a set of programs and positions at NYU that will help scientists in the domains—for example, astronomy, psychology, and sociology—interact with scientists in the methods—applied mathematics, statistics, and computer science—to make both groups of scientists more capable and more successful.” – Prof. David Hogg, Moore-Sloan Data Science Environment.
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Executive Director: Juliana Freire
Chair of Steering Committee: Mik Laver
Principal Investigator: Yann LeCun
Richard Bonneau, Computer Science and Biology
Kyle Cranmer, Physics (Chair: Reproducibility and Open Science Working Group)
Juliana Freire, Computer Science & Engineering (Chair: Reproducibility and Open Science Working Group)
David Hogg, Physics (Chair: Space Working Group)
Mik Laver, Politics (Chair: Careers Working Group)
Yann LeCun, Computer Science
Laura Norén, MSDSE (Chair: Data Science Studies Working Group)
Dennis Shasha, Computer Science
Claudio Silva, Computer Science & Engineering (Chair: Software and Tools Working Group)
Eero Simoncelli, Center for Neural Science
Carlos Fernandez-Granda, Mathematics and Data Science (Chair: Methods Working Group)
Arthur Spirling, Politics and Data Science (Chair: Education and Training Working Group)
Meredith Broussard, Journalism
Scott Collard, NYU Libraries
Jennifer Hill, Applied Statistics and Data Science
Jonathan Nagler, Politics
Patrick Perry, Information, Operations and Management Sciences
Joshua Tucker, Politics
Data Science Fellows:
Fernando Seabra Chirigati
Junior Data Scientists:
Vighnesh Nandan Birodkar
Manoj Kumar Sivaraj
Vicky Steeves (NYU Libraries)
Program Manager: Emily Mathis