Richard Berk: Forecasting intimate violence
Richard Berk, sosiolog og professor i statistikk og kriminologi ved University of Pennsylvania, kommer til AKS-seminaret! På dette seminaret presenterer han arbeider knyttet til prediktive modeller for partnervold.
Professor Richard Berk, University of Pennsylvania
At the AKS seminar Berk will discuss a paper , co-authored with Susan Sorenson and Geoffrey Barnes, titled "Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions."
Richard Berk is a professor in the Departments of Criminology and Statistics at the University of Pennsylvania. He was formerly a Distinguished Professor of Statistics at UCLA. He works on various topics in applied statistics including proper inference with misspecified models, machine learning, and methods for evaluating social programs. Among the his criminology applications are inmate classification and placement systems, law enforcement strategies for reducing domestic violence, the role of race in capital punishment, detecting violations of environmental regulations, claims that the death penalty serves as a general deterrent, and forecasting criminal behavior or individuals on parole or probation. Professor Berk is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Academy of Experimental Criminology, and has been a member the Committee on Applied and Theoretical Statistics of the National Research Council and the Social Science Research Council’s Board of Directors. He has been awarded the Paul F. Lazarsfeld Award by the Methodology Section of the American Sociological Association. He has published 15 books and over 150 peer reviewed papers.
The seminar will be in english.