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University of Chicago’s Centre for Data Science and Public Policy

University of Chicago’s Centre for Data Science and Public Policy has developed a prototype algorithm to identify early warning signs that may predict adverse interactions between police and the public. Early tests have successfully identified officers who were later involved in adverse interactions with the public.

Keywords: Protecting Safety and Security, Data analysis and visualization for human rights, Algorithms for human rights, University of Chicago, University of Chicago’s Centre for Data Science and Public Policy