In 2009, our research group was invited by the Chicago Police Department (CPD) to partner in a competition for funding from the National Institute of Justice (NIJ), a component of the U.S. Department of Justice. In this competition, cities were challenged to develop, deploy, and evaluate new methods of crime analysis, broadly defined as “predictive policing,” the aim being to provide law enforcement agencies with software tools to assist in data-driven decision-making, as has been done successfully in numerous other fields and throughout industry.
The CPD / IIT team was selected from among the competing cities to receive NIJ’s $3 million grant. Since 2013 we have been providing CPD with algorithms for crime prediction, which have been covered in the New York Times and other news sources. We have developed an accurate method for accurately forecasting tomorrow's incidence of violent crime in Chicago based on numerous factors. Our work in identifying high risk individuals based on crime records was described in the online magazine Backchannel.
Under a separate NIJ grant the CPD/IIT team is currently exploring ways to optimize of the use of video cameras in policing. IIT has released a Request for Information (RFI) from the video analytics industry to evaluate existing analytics products as part of the research project. Details of the RFI and application process can be found here.
Under a grant from the Bureau of Justice Assistance (BJA) -- a component of the U.S. Department of Justice) -- CPD, IIT, and RAND Corporation are working together to evaluate the use of prediction models to identify high-risk individuals to help them avoid future involvement in violent crime.