NEW SITE: https://www.benzevgreen.com/
Ben Green is a PhD Candidate in Applied Math at Harvard, an Affiliate at the Berkman Klein Center for Internet & Society at Harvard, and a Research Fellow at the AI Now Institute at NYU. He 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.
Ben completed his undergraduate degree in Mathematics & Physics at Yale University. His graduate work has been funded by the NSF Graduate Research Fellowship and the Herbert Winokur SEAS Graduate Fellowship.
