Crime prediction
Do Crime Hot Spots Move? Exploring the Effects of the Modifiable Areal Unit Problem and Modifiable Temporal Unit Problem on Crime Hot Spot Stability
Date Published
2016
Agencies
NIJ-Sponsored
Scaling and Classifying Delinquent Careers: The Criminal Career-Line Approach, Final Report
Date Published
1987
Agencies
NIJ-Sponsored
Using Technology to Enhance Police Problem Solving, Final Report
Date Published
1998
Agencies
NIJ-Sponsored
Improving Predictions of Offender Recidivism and Patterns of Offender Crime: Final Report
Date Published
1992
Agencies
NIJ-Sponsored
Criminal Violence and Incapacitation: Wishes and Realities
Date Published
1991
Agencies
NIJ-Sponsored
Patterns of Drug Use and Their Relation to Improving Prediction of Patterns of Delinquency and Crime
Date Published
1991
Agencies
NIJ-Sponsored
Relationship Between Violence and Mental Disorder
Date Published
1991
Agencies
NIJ-Sponsored
A Dynamic Policing Simulation Framework
Date Published
2018
Agencies
NIJ-Sponsored
Spatial analysis of social vulnerability and crime disparities through interpretable machine learning
15PNIJ-24-GG-01573-RESS
Open
Funding First Awarded
2024
$180,000
Crime forecasting using data mining techniques
Date Published
2011
Agencies
NIJ-Sponsored
Empirical discriminative tensor analysis for crime forecasting
Date Published
2011
Agencies
NIJ-Sponsored
Crime forecasting using spatio-temporal pattern with ensemble learning
Date Published
2014
Agencies
NIJ-Sponsored
Predicting dynamical crime distribution from environmental and social influences
Date Published
2018
Agencies
NIJ-Sponsored
NIJ-Funded Research on Firearms Violence in Urban Cities Advancing Scientific Evidence to Inform Practice
December 2021
In this full thematic panel, renowned experts will present a series of papers summarizing the newest findings of NIJ-funded research projects on criminal offenses with firearms in urban areas. Researchers used various criminological and other theories, including routine activity theory, socio-ecological and socio-environmental perspectives, and advanced mixed-study methods, including surveys and spatio-temporal designs, to produce scientific evidence to inform practice.
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