By Jason Beaman

This final research report describes a project that used various data sources to analyze the relationship between methamphetamine usage metrics, such as overdose deaths and related crimes, and violent crime such as rape and robbery, in order to inform law enforcement and other stakeholders of upstream prevention for crimes related to methamphetamine use. The project’s key objectives included developing a dashboard, analyzing methamphetamine-crime intersections, and assessing the influence of social determinants of health (SDOH) of methamphetamine use. Results demonstrated significant correlations between methamphetamine overdoses and violent crimes, especially economic-compulsive crimes. The report highlights distinct patterns and geographic variations among rural and American Indian communities. The report notes that results emphasize the complex interplay between methamphetamine use, violent crime, and socio-economic factors, and it advocates for targeted prevention strategies. It also offers the Oklahoma Methamphetamine Data Initiative (OKMDI) framework for addressing substance use and violence as a tool for policymakers and law enforcement.

Stillwater, OK: Oklahoma State University, 2024. 39p.

By  Timothy Cubitt and Anthony Morgan

Risk assessment is a growing feature of law enforcement and an important strategy for identifying high-risk individuals, places and problems. Prediction models must be developed in a transparent way, using robust methods and the best available data. But attention must also be given to implementation. In practice, the data available to law enforcement from police information systems can be limited in their completeness, quality and accessibility. Prediction models need to be tested in as close to real-world settings as possible, including using less than optimal data, before they can be implemented and used. In this paper we replicate a prediction model that was developed in New South Wales to predict high-harm offending among outlaw motorcycle gangs nationally and in other states. We find that, even with a limited pool of data from a national police information system, high-harm offending can be predicted with a relatively high degree of accuracy. However, it was not possible to reproduce the same prediction accuracy achieved in the original model. Model accuracy varied between jurisdictions, as did the power of different predictive factors, highlighting the importance of considering context. There are trade-offs in real-world applications of prediction models and consideration needs to be given to what data can be readily accessed by law enforcement agencies to identify targets for prioritisation.

Canberra: Australian Institute of Criminology. 2024, 47pg

By Paul Larsson

This article deals with the policing of biker groups in Norway. It describes the two idealtypical approaches of dialogue and confrontation. It tries to explain why the police use certain methods. It finds that policing is rarely based on knowledge of what works or the causes of a problem. Instead the approaches chosen seem to reflect certain styles of policing described in cultural studies of the police.

Norway, CrossMark. June 11, 2018. 17pg