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Center Mission

As part of Cornell’s radical collaborations, the Center for Data Science for Enterprise and Society aims to unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., sociology and government), the economics/computer science interface, aspects of digital agriculture in the production and management of agriculture, digital platforms supporting urban infrastructure (e.g., the sharing economy), and as a theme that is cross-cutting in many of these areas, the corresponding issues of privacy, security, and fairness; more generally, the Center enhances other programmatic areas associated with data science in an entrepreneurial and opportunistic fashion.

Center Highlights

Sendhil Mullainathan ’93, a scholar and writer who uses machine learning to find new approaches to complex problems in...

David Shmoys, Director for the Center for Data Science for Enterprise and Society was honored as one of three  Stephen H....

Professor Moon Duchin, a mathematician and public policy expert who has advised numerous U.S. states on redistricting and...

Sendhil Mullainathan, The Peter de Florez Professor, In Electrical Engineering and Computer Science, and in Economics,...

Sendhil Mullainathan The Peter de Florez Professor, In Electrical Engineering and Computer Science, and Economics at...

Sendhil Mullainathan The Peter de Florez Professor, In Electrical Engineering and Computer Science, and Economics, at...

Cornell researchers have found that in social VR settings, the decision to disclose an invisible disability – a...

November 4, 2024

A popular strategy for combating misinformation can help people distinguish truth from falsehood – when combined with...

November 4, 2024

Sendhil Mullainathan ’93, a scholar and writer who uses machine learning to find new approaches to complex problems...

October 30, 2024