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Posts tagged Crime Prevention
How ‘Outlaws’ React: a Case Study on the Reactions to the Dutch Approach to Outlaw Motorcycle Gangs

By Teun van Ruitenburg, Sjoukje van Deuren & Robby Roks

The impact of organized crime measures remains largely unknown. Moreover, for practical and ethical reasons, the perspectives of the individuals who are subjected to organized crime policies are often not included in research. Based on semi-structured interviews with 24 current members of the Dutch Hells Angels Motorcycle Club (HAMC), this study fills this knowledge gap by examining how HAMC members reacted to the multi-agency approach to outlaw motorcycle gangs (OMCGs) in the Netherlands. The results of this study illustrate that the reactions of HAMC members can be divided into four categories: (1) conforming, (2) adapting, (3) resisting, and (4) continuing. The analysis furthermore shows that a variety of different reactions to the OMCG approach coexist within the same club, charter, and even within the same individual member. These findings indicate that crime policies can spark different, sometimes contradicting reactions, within a group that from the outside appears to be a uniform and top-down coordinated organization. Future evaluation studies should take the multifaceted nature of reactions to crime policies into consideration.

Eur J Crim Policy Res (2024). https://doi.org/10.1007/s10610-023-09566-6

Predicting high-harm offending using machine learning: An application to outlaw motorcycle gangs

By Timothy Cubitt and Anthony Morgan 

Risk assessment tools are used widely in the criminal justice response to serious offenders. Despite growing recognition that certain outlaw motorcycle gang (OMCG) members and their clubs are likely to be involved in crime, particularly serious crime, this is not an area where risk assessment tools have been developed and validated. The nature of offending by OMCGs, and policing responses to OMCGs, requires a novel approach to risk assessment. This study uses machine learning methods to develop a risk assessment tool to predict recorded high-harm offending. Results are compared with those of a model predicting any recorded offending. The model predicted high-harm offending with a high degree of accuracy. Importantly, the tool appeared able to accurately identify offenders prior to the point of escalation. This has important implications for informing law enforcement responses. 

Australia, Australian Institute of Criminology. Trends & issues in crime and criminal justice no. 646. March 2022. 18pg