As part owner of Benchmark, the University of Chicago is the lead member of our diversified research consortium. Its Center for Data Science and Public Policy has played a key role by developing a series of predictive models and algorithms that identify patterns of officer conduct that lead to problematic behavior in policing.
The University of Chicago has been instrumental in creating a revolutionary EIS based on longitudinal studies and analyses of officer conduct over time — in progressive police departments such as Charlotte-Mecklenburg, NC. This analytic tool pinpoints those data variables that truly matter in signaling off-track behavior. It is designed to limit false positives and flag intervention early on, in time to take preventative action before the behavior becomes a real problem.