Data Science Institute

Dr. Christopher Cleveland is an Assistant Professor of Education and Education Policy, holding a joint appointment in the Education Department and Annenberg Institute. His research and teaching focus on quantitative policy analysis in school finance, gifted and special education, and human capital.

Before joining Brown University, Christopher was a Research Assistant Professor at Boston University Wheelock College of Education and Human Development and a Consulting Manager at Education Resource Strategies.

Christopher Cleveland has a Ph.D.  in Education Policy and Program Evaluation from Harvard University; an Ed.M. in Education Policy and Management from Harvard Graduate School of Education; an A.M. in Education from Harvard University; and an A.B. in Sociology with a Secondary in Mind, Brain, & Behavior from Harvard College.

How does your research, teaching, or other work relate to data or computational science?

I use natural language processing tools to study education text data like special education students’ Individualized Education Programs. I also leverage machine learning tools for causal inference.

I teach the Masters in Urban Education Program Evaluation course that leverages statistical / econometric tools and will engage with machine learning topics.

Previously at Harvard Graduate School of Education, I taught Introduction to Statistical Computing and Data Science in Education.