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The surge in incarceration since 1980 has been fueled in part by the mistaken belief that the population can be divided neatly into "good guys" and "bad guys." In fact, crime rates are not determined by the number of at-large criminals, any more than farm production is determined by the number of farmers. Crime is a choice, a choice that is influenced by available opportunities as much as by character. This perspective, drawn from economic theory, supports a multi-faceted approach to crime control. Dr.
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NIJ Conference panelists will present the results of three studies that applied situational crime prevention (SCP) principles: (1) an evaluation of the Safe City initiative in Chula Vista, Calif., designed to combine the expertise and resources of local law enforcement, retailers and the community to increase the safety of designated retail areas; (2) a randomized controlled trial (in partnership with the Washington Metro Transit Police) that assessed the effectiveness of SCP to reduce car crime in Metro's parking facilities; and (3) an evaluation of the impact of SCP on pr
This is a joint panel of NIJ's Office of Research and Evaluation (ORE ) and Office of Science and Technology (OST). Panelists will discuss the latest efforts to implement license plate reader technology into policing operations. OST grantees will explain various aspects of the technology and an ORE grantee from the National Opinion Research Center will present findings from a study on the use of license plate readers to combat auto theft in Arizona.
How can we prevent reoffending and reduce costs? Research points to a number of solutions. At the Tuesday plenary, Judge Steven Alm from Hawaii will describe his successes with hard-core drug offenders. “Swift and sure” is his motto. West Virginia Cabinet Secretary James W. Spears will discuss the issues from his state's perspective, and Adam Gelb, Director of the Pew Charitable Trust's Public Safety Performance Project, will lend a national overview.
The Real-Time Crime Forecasting Challenge seeks to harness the advances in data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods.
