2:00 PM - 3:00 PM

Seminar Series: Rayid Ghani

Data Science for Social Good and Public Policy

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Description: Can data science help reduce police violence and misconduct? Can it help increase retention of patients in care? Can it help prevent children from getting lead poisoning? Can it help cities better target limited resources to improve lives of citizens? We're all aware of the hype around data science and related buzzwords right now but turning this hype into social impact takes cross-disciplinary training, teams, and methods.  In this talk, I'll discuss lessons learned from our work at University of Chicago while working on dozens of data science projects over the past few years with non-profits and governments on high-impact public policy and social challenges in criminal justice, public health, education, economic development, public safety, workforce training, and urban infrastructure. I'll discuss examples of this work as well as research challenges that need to be tackled in order to have social and policy impact.


Li Ka Shing Center, Room 320
291 Campus Drive
Stanford, CA 94305


Rayid Ghani
Director of the Center for Data Science & Public Policy and a Senior Fellow at the Harris School of Public Policy and the Computation Institute 
University of Chicago