Richard Berk

Professor of Criminology and Statistics

Research Interests

Professor Berk has appointments in the Department of Criminology and the Department of Statistics. He works on various topics in applied statistics including causal inference, statistical/machine learning, and methods for evaluating social programs. Among the his criminology applications are inmate classification and placement systems, law enforcement strategies for reducing intimate partner violence, detecting violations of environmental or worker safety regulations, claims that the death penalty serves as a general deterrent, and forecasts of criminal behavior and/or victimization using statistical/machine learning procedures.

Some Recent Peer Reviewed Publications

Criminal Justice forecasts of Risk: A Machine Learning Approach. New York, Springer, 2012.

“Algorithmic Criminology,” Security Informatics, published online, January 23, 2013.

“Valid Post-Selection Inference,” (with Lawrence Brown, Andreas Buja, Edward George, Kai Zhang, and Linda Zhao), Annals of Statistics 41(2): 802-837, 2013.

“Forecasts of Violence to Inform Sentencing Decisions." (with Justin Bleich), Journal of Quantitative Criminology, forthcoming.

“Statistical Procedures for Forecasting Criminal Behavior: A Comparative Assessment.” (with Justin Bleich), Journal of Criminology and Public Policy, forthcoming.

“Covariance Adjustments for the Analysis of Randomized Field Experiments." (with Emil Pitkin, Lawrence Brown, Andreas Buja, Edward George, and Linda Zhao), Evaluation Review, forthcoming.

"Misspecified Mean Function Regression: Making Good Use of Regression Models that are Wrong." (with Lawrence Brown, Andreas Buja, Edward George, Emil Pitkin, Kai Zhang, and Linda Zhao), Sociological Methods and Research, forthcoming.

Some Recent Consulting

Philadelphia Adult Department of Probation and Parole; Pennsylvania Board of Probation and Parole; Maryland Department of Public Safety and Correctional Services; Washington, D.C. Police Department; Child Protective Services, Maryland Department of Human Resources; United States District Court for the Eastern District of California; U.S. Bureau of Justice Statistics; Philadelphia Police Department.

Professional Awards

Elected to the Sociological Research Association; Elected Fellow to the American Association for the Advancement of Science; Paul S. Lazarsfeld Award for methodological contributions from the American Sociological Association; Elected Fellow of the American Statistical Association; Elected Fellow of the Academy of Experimental Criminology.

Email: 
berkr@sas.upenn.edu
CV (file): 
Education: 

PhD, Sociology, The Johns Hopkins University, 1970

BA, Psychology, Yale University, 1964