Evaluation of a Comprehensive Approach to Reducing Gun Violence in Detroit

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2014
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American English
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Abstract

Increasingly criminal justice agencies are integrating “data based” approaches into their operational strategies. This “new” model of criminal justice suggests that analysis of data on recent crime and violence incidents can lead to a more focused and targeted effort than previous enforcement efforts. Through such efforts, individuals, groups, and locations that exhibit a high level of gun violence within a limited geographic area are identified and a variety of intervention are then implemented. These interventions typically include both enforcement as well as offender focused interventions. These efforts differ from prior enforcement strategies in that they emphasize the integration of a problem analysis component in which data analysis is used to identify the patterns of gun violence in a small target area and enforcement resources are concentrated in this area. However, this approach also differs from previous “crackdown” enforcement strategies in that there are also community and offender intervention components that are integral to this model. The community component seeks to identify ways in which the community can be involved in working with law enforcement to reduce gun violence in this area. This is often through increased community meetings, and establishing more frequent and effective means of communication between the community and local law enforcement. In addition, the enforcement strategies used in this model are data and intelligence driven. As such they are focused on identifying the most problematic locations, groups and individuals that are most responsible for gun violence in this community. This report documents the implementation and outcomes of the implementation of Project Safe Neighborhoods in one of the jurisdictions in which this model was first implemented.

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Bynum, T. S., Grommon, E., & McCluskey, J. D. (2014). Evaluation of a Comprehensive Approach to Reducing Gun Violence in Detroit.
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