Ben Green is a postdoctoral scholar in the Michigan Society of Fellows and an assistant professor at the Gerald R. Ford School of Public Policy. He holds a PhD in applied mathematics, with a secondary field in science, technology, and society, from Harvard University. Ben studies the social and political impacts of government algorithms, with a focus on algorithmic fairness, smart cities, 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 is also an affiliate at the Berkman Klein Center for Internet & Society at Harvard.
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.
Read more on Green's personal site.
PhD in applied mathematics, Harvard University (secondary field: science, technology, and society)
- Ben Green. The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future. MIT Press. 2019. https://smartenoughcity.mitpress.mit.edu
- Ben Green and Salomé Viljoen. “Algorithmic Realism: Expanding the Boundaries of Algorithmic Thought,” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT*). 2020. https://www.benzevgreen.com/20-fat-realism/
- Ben Green. “The False Promise of Risk Assessments: Epistemic Reform and the Limits of Fairness,” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT*). 2020. https://www.benzevgreen.com/20-fat-risk/