Dr. Ben Green

Assistant Professor

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Biography

Ben Green is an assistant professor at the University of Michigan's School of Information and a courtesy assistant professor at the Gerald R. Ford School of Public Policy. He holds a PhD in Applied Mathematics from Harvard University, with a secondary field in Science, Technology, and Society. His research focuses on the ethical impacts of algorithms, emphasizing algorithmic fairness, human-algorithm interactions, and AI regulation. Green aims to support the design of governance practices that prevent algorithmic harms and advance social justice. He is the author of the book "Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future," published in 2019 by MIT Press, and is currently working on a new book titled "Algorithmic Realism: Data Science Practices to Promote Social Justice." Ben serves as a faculty associate at the Berkman Klein Center for Internet and Society at Harvard University.

Research Interests

Experience

Assistant Professor

2023-01-01 — Present

University of Michigan • Ann Arbor, MI, US

Assistant Professor at the School of Information and Gerald R. Ford School of Public Policy, focusing on ethical implications of technology.

Faculty Associate

2019-09-01 — Present

Berkman Klein Center for Internet & Society • Cambridge, MA, US

Engaged in research concerning the intersection of technology, society, and public policy.

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science