Ben Green

Ben Green is an Assistant Professor in the University of Michigan School of Information and a courtesy Assistant Professor in the Gerald R. Ford School of Public Policy. He holds a PhD in Applied Mathematics from Harvard University with a secondary focus on Science, Technology, and Society. His research examines algorithmic ethics, fairness, and governance, aiming to reduce harms and advance social justice. Notable works include The Smart Enough City (2019) and his forthcoming Algorithmic Realism. He is affiliated with the Berkman Klein Center for Internet & Society at Harvard and the Center for Democracy & Technology.

Education:

• PhD in Applied Mathematics, Harvard University (with secondary field in Science, Technology & Society)
• BS in Mathematics & Physics, Yale University

Research Interests:

• Algorithmic fairness in public policy
• Human-algorithm interaction dynamics
• Regulatory frameworks for AI
• Equity-centered data science practices
• Urban technology policy

His recent publications explore themes like the limitations of human oversight in algorithmic systems, the sociotechnical challenges of implementing ethical AI, and the intersection of legal reasoning with computational systems. His writing emphasizes actionable solutions to systemic biases in algorithmic governance.

Ben’s current projects include advancing algorithmic realism – a framework for grounding data science in socially just practices – and analyzing how counterfactual explanations influence judicial decisions. He serves on multiple interdisciplinary advisory boards and frequently collaborates with policymakers to translate research into actionable strategies.