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                            Funding & Awards
 Predictive modeling combining short and long-term crime risk potential
Note:
              This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
Award Information
Awardee
              TEMPLE UNIVERSITY-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
Award #
              2010-DE-BX-K004
Funding Category
              NATIONAL
Location
                    Philadelphia, PA
Awardee County
              Philadelphia
Congressional District
              2
Status
              Closed
Funding First Awarded
              2010
Total funding (to date)
              $480,999
Original Solicitation
              NIJ FY 10 Geospatial Technology
Description of original award (Fiscal Year 2010, $239,805)
This project develops and tests a technology that will depict and predict (respectively) current and future crime potential. In doing so, it will operationalize two grounded theoretical approaches to understanding localized spatial crime patterns. This combination of a long-term crime potential map surface with a short-term crime spike surface will create the opportunity for law enforcement and other criminal justice agencies to apply a theoretical understanding to the business of crime prediction. The resulting map of predicted crime will enable police departments to take a proactive approach to crime prevention, disruption and reduction, and will provide a foundation for truly predictive policing and crime prevention. This project will create a software tool that will enable police departments and other agencies across the country to use their geocoded crime data in combination with freely-available census data and create micro-spatial estimates of future criminal activity at the local block level.
ca/ncf
Supplemental Award 1 (Fiscal Year 2011, $241,194)
This project will create a software tool that will enable police departments and other agencies across the country to use their geocoded crime data in combination with freely-available census data and create micro-spatial estimates of future criminal activity at the local block level.  The project translates two theoretically grounded approaches in the crime and place literature, community level structural demographic correlates of crime, and repeat and near repeat crime and victimization patterns, into a spatio-temporal technology allowing crime analysts to see the crime patterns underlying recent localized crime levels, and to predict near-term crime changes.  This project leverages off a previously NIJ-funded Near Repeat Calculator.
nca/ncf


  
Grant-Funded Publications
        
                      Research on Repeat Crime Risk Leads to Software Tool Development
                  Predictive Modeling Combining Short and Long-Term Crime Risk Potential, Final Report
                  Can We Predict Long-term Community Crime Problems? The Estimation of Ecological Continuity to Model Risk Heterogeneity

  
Date Created: September 14, 2010
    
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