Behavioral Science, Complex Systems, Law, Policy Research, Political Science, Social Sciences, Urban Planning
Algorithms, Data Mining, Human-Computer Interaction, Machine Learning, Network Analysis

Ben Green

Assistant Professor

Ford School of Public Policy,
Postdoctoral Scholar in the Michigan Society of Fellows

Ben studies the social and political impacts of government algorithms. This work falls into several categories. First, evaluating how people make decisions in collaboration with algorithms. This work involves developing machine learning algorithms and studying how people use them in public sector prediction and decision settings. Second, studying the ethical and political implications of government algorithms. Much of this work draws on STS and legal theory to interrogate topics such as algorithmic fairness, smart cities, and criminal justice risk assessments. Third, developing algorithms for public sector applications. In addition to academic research, Ben spent a year developing data analytics tools as a data scientist for the City of Boston.