Probabilistic Crime Solving
In our Big Data age, policing may shift its focus away from catching criminals to stopping crime from happening. That might sound like Hollywood “Minority Report” fantasy but not to researchers hoping to leverage data to identify future crime areas. Consider as an illustration a research project sponsored by Rutgers Center on Public Security. According to Government Technology, Rutgers professors have obtained a two-year $500,000 grant to conduct “risk terrain modeling” research in U.S. cities. Working with police forces in Arlington, Texas, Chicago, Colorado Springs, Colorado, Glendale, Arizona, Kansas City, Missouri, and Newark, New Jersey, the team will analyze an area’s history of crime with data on “local behavioral and physical characteristics” to identify locations with the greatest crime risk. As Professor Joel Caplan explains, data analysis “paints a picture of those underlying features of the environment that are attractive for certain types of illegal behavior, and in doing so, we’re able to assign probabilities of crime occurring.” Criminals tend to shift criminal activity to different locations to evade detection. The hope is to detect the criminals’ next move before they get there. Mapping techniques will systematize what is now just a matter of instinct or guess work, explain researchers.
Will reactive policing give way to predictive policing? Will police departments someday staff officers outside probabilistic targets to prevent criminals from ever acting on criminal designs? The data inputs and algorithms are crucial to the success of any Big Data endeavor. Before diving head long, we ought to ask about the provenance of the “local behavioral and physical characteristics” data. Will researchers be given access to live feeds from CCTV cameras and data broker dossiers? Will they be mining public and private sector databases along the lines of fusion centers? Because these projects involve state actors who are neither bound by the federal Privacy Act of 1974 nor federal restrictions on the collection of personal data, do state privacy laws limit the sorts of data that can be collected, analyzed, and shared? Does the Fourth Amendment have a role in such predictive policing? Is this project just the beginning of a system in which citizens receive criminal score risk assessments? The time is certainly ripe to talk more seriously about “technological due process” and the “right to quantitative privacy” for the surveillance age.