By Christopher Dowling and Anthony Morgan

The criminal mobility of outlaw motorcycle gang (OMCG) members presents a significant challenge to Australian governments and police. Examining patterns of mobility can help to better understand the opportunity structures that underpin offending by OMCGs and to drive national collaborative responses to these gangs. This study examines the prevalence and patterns of criminal mobility in a sample of almost 4,000 OMCG members in more than 400 chapters. Around one in 10 members showed evidence of criminal mobility over the long term, while more than one-third of chapters comprised criminally mobile members. Criminally mobile gang members were heavily concentrated in a small number of chapters. Patterns of criminal mobility primarily involve movements into east coast jurisdictions. New South Wales and Queensland emerged as the most common destinations for criminally mobile OMCG members  

Trends & issues in crime and criminal justice no. 619. Canberra: Australian Institute of Criminology. 2021. 16p

By Luis J. Rodriguez

Author's Background: Luis J. Rodriguez shares his personal experiencesgrowing up in gang-infested neighborhoods in Los Angeles andChicago, highlighting the challenges and violence he faced.

Gang Life: The book delves into the structure and culture of gangs,including the initiation rituals, the sense of belonging, and the violentconflicts between rival groups.

Family Struggles: Rodriguez discusses the impact of gang life on hisfamily, particularly his efforts to prevent his son from following the samepath.

Redemption and Change: The narrative emphasizes the author'sjourney towards self-improvement and his attempts to break free fromthe cycle of violence through education and activism.

Simon and Schuster, 2005, 260 pages

 By David C. Brotherton · Rafael Gude

 In 2008, the Ecuadorian Government launched a policy to increase public safety as part of its “Citizens’ Revolution” (La Revolución Ciudadana). An innovative aspect of this policy was the legalization of the country’s largest street gangs. During the years 2016–2017, we conducted ethnographic research with these groups focusing on the impact of legalization as a form of social inclusion. We were guided by two research questions: (1) What changed between these groups and society? and (2) What changed within these groups? We completed field observations and sixty qualitative interviews with group members, as well as multiple formal and informal interviews with government advisors, police leaders and state actors related to the initiative. Our data show that the commitment to social citizenship had a major impact on gang-related violence and was a factor in reducing the nation’s homicide rate. The study provides an example of social control where the state is committed to policies of social inclusion while rejecting the dominant model of gang repression and social exclusion practiced throughout the Americas.  

Critical Criminology, 2020.

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