The Globalization of Evidence-Based Policing

Chapter 10: The LEADS Academics Program: Building Sustainable Police-Research Partnerships in the Pursuit of Evidence-Based Policing Evidence-based policing is based on the straightforward, but powerful, idea that crime prevention and crime control policy should be based on what works best in promoting public safety, as determined by the best available scientific evidence. Bringing together leading academics and practitioners, this book explores a wide range of case studies from around the world that best exemplify the integration of scientific evidence in contemporary policing processes. Chapters explore the transfer of scientific knowledge to the practice community, the role of officers in conducting police-led science, connection of work between police researchers and practitioners, and how evidence-based policing can be incorporated in daily police functions. The Globalization of Evidence-Based Policing is written for both researchers and practitioners interested in ensuring that scientific research is at center stage in policing. Agencies (including law enforcement agencies, research centers, and institutions of higher learning) can look to these case studies as road maps to better foster an evidence-based approach to crime prevention and crime control. Those already committed to evidence-based policing can look to these chapters to ensure that evidence-based policing is firmly institutionalized within their agencies. Accessible and compelling, this book is essential reading for all those interested in learning more about and doing more to bring about evidence-based policing.https://digitalcommons.unomaha.edu/facultybooks/1349/thumbnail.jp

The Sensitivity of Repeat and Near Repeat Analysis to Geocoding Algorithms

Purpose: To determine if repeat and near repeat analysis is sensitive to the geocoding algorithm used for the underlying crime incident data. Methods: The Indianapolis Metropolitan Police Department provided 2016 crime incident data for five crime types: (1) shootings, (2) robberies, (3) residential burglaries, (4) theft of automobiles, and (5) theft from automobiles. The incident data were geocoded using a dual ranges algorithm and a composite algorithm. First, descriptive analysis of the distances between the two point patterns were conducted. Second, repeat and near repeat analysis was performed. Third, the resulting repeat and near repeat patterns were compared across geocoding algorithms. Results: The underlying point patterns and repeat and near repeat analyses were similar across geocoding algorithms. Conclusions: While detailing geocoding processes increases transparency and future researchers can conduct sensitivity results to ensure their findings are robust, dual ranges geocoding algorithms are likely adequate for repeat and near repeat analysis

Supplemental Material, 03-seasons-online-appendix-r2 - The Seasons They Are a Changin’: Testing for Seasonal Effects of Potentially Criminogenic Places on Street Robbery

<p>Supplemental Material, 03-seasons-online-appendix-r2 for The Seasons They Are a Changin’: Testing for Seasonal Effects of Potentially Criminogenic Places on Street Robbery by Cory P. Haberman, Evan T. Sorg, Jerry H. Ratcliffe in Journal of Research in Crime and Delinquency</p