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Ben Green: Using Algorithms in Government
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Using algorithms in government: Opportunities, challenges, and paths forward
A conversation with Ben Green
ABOUT THE SPEAKERS
Ben Green, assistant professor of public policy, and Shobita Parthasarathy, professor of public policy and director of the Science, Technology, and Public Policy program, discuss the social and policy impacts of algorithms in government.
Ben Green is a postdoctoral scholar and assistant professor through the Michigan Society of Fellows, placed with at the University of Michigan’s Gerald R. Ford School of Public Policy. He is an affiliate at the Berkman Klein Center for Internet & Society at Harvard and a research fellow at the AI Now Institute at NYU. Ben studies the social and policy impacts of data science, with a focus on algorithmic fairness, municipal governments, and the criminal justice system. His book, The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future, was published in 2019 by MIT Press.
Ben’s research draws on his experience working with data and technology in city government. He spent a year working for the Citywide Analytics Team in the City of Boston, where he combined data and performance analysis to improve public services and civic engagement. Ben previously worked at the University of Chicago Data Science for Social Good Summer Fellowship, where he developed a machine learning system to enhance the City of Memphis’ urban revitalization efforts. He also spent a year at the New Haven Department of Transportation, Traffic, and Parking, where he managed the deployment of new parking meter payment technology.
This event is co-organized with the Science, Technology, and Public Policy Program.