Ben Green is a PhD Candidate in Applied Math at the Harvard School of Engineering and Applied Sciences and an Affiliate at the Berkman Klein Center for Internet and Society at Harvard. He studies the implementation and impacts of data science in local governments, with a focus on “smart cities” and the criminal justice system. Analyzing the intersections of data science with law, policy, and social science, Ben focuses on the social justice and policy implications of data-driven algorithms deployed by governments. His book, The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future, was published in April 2019 by MIT Press.
Ben’s research draws on his extensive experience working with data and technology in municipal government. He most recently spent a year working for the Citywide Analytics Team in the City of Boston, where he developed analytics to improve public safety operations and civic engagement strategies for the City’s new open data program. Ben previously worked as a Fellow at the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship, and partnered with the City of Memphis, TN using machine learning to identify blighted homes. He also worked for a year at the New Haven Department of Transportation, Traffic, and Parking, where he managed the deployment of new parking meter payment technology.
Ben completed his undergraduate degree in Mathematics & Physics at Yale College. His graduate work has been funded by the NSF Graduate Research Fellowship and the Herbert Winokur SEAS Graduate Fellowship.