RT Research Data
T1 Linking Theory to Practice: Examining Geospatial Predictive Policing, Denver, Colorado, 2013-2015
A1 Uchida, Craig D.
LA English
PP Erscheinungsort nicht ermittelbar
PB [Verlag nicht ermittelbar]
YR 2020
UL https://krimdok.uni-tuebingen.de/Record/1840039450
AB This research sought to examine and evaluate geospatial predictive policing models across the United States. The purpose of this applied research is three-fold: (1) to link theory and appropriate data/measures to the practice of predictive policing; (2) to determine the accuracy of various predictive policing algorithms to include traditional hotspot analyses, regression-based analyses, and data-mining algorithms; and (3) to determine how algorithms perform in a predictive policing process. Specifically, the research project sought to answer questions such as: <ul> <li>What are the underlying criminological theories that guide the development of the algorithms and subsequent strategies? </li> <li> What data are needed in what capacity and when? </li> <li> What types of software and hardware are useful and necessary? </li> <li> How does predictive policing "work" in the field? What is the practical utility of it? </li> <li> How do we measure the impacts of predictive policing? </li> </ul> The project's primary phases included: (1) employing report card strategies to analyze, review and evaluate available data sources, software and analytic methods; (2) reviewing the literature on predictive tools and predictive strategies; and (3) evaluating how police agencies and researchers tested predictive algorithms and predictive policing processes.
K1 Crime Mapping
K1 crime prediction
K1 forecasting models
K1 police departments
K1 police reports
K1 Forschungsdaten
DO 10.3886/ICPSR37299.v1