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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

William L. Maxwell Postdoctoral Fellows Cornell’s Engineering Innovations in Medicine (EIM) initiative and the Center for...

Hiring multiple Assistant Research Professors and Postdoctoral Fellows; these are 3-year non-tenure-track positions that are...

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

A Forward Energy Market to Improve Reliability and Resiliency∗ Peter Cramton Max Planck Institute for...

Title: Federated Reinforcement Learning: Statistical, Communication and Computation Trade-offs This talk...

Title: Fairness and Foundations in Machine Learning   Abstract:   In this talk, we will...

A team of researchers from Cornell Tech has developed a new tool designed to revolutionize hardware troubleshooting,...

March 24, 2025

New Cornell research focuses on two types of uncertainty that play important roles in the cyber threat security...

March 20, 2025

A Cornell-led research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology...

March 17, 2025