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In 2017, San Francisco (SF) implemented Law Enforcement Assisted Diversion (LEAD), a program Beckett described as harm reduction policing. Through a process and outcome evaluation of LEAD SF, this paper demonstrates the positive impacts of harm reduction policing, on those who use drugs and/or engage in sex work. When law enforcement officers used their discretion to divert individuals into LEAD rather than arrest, those individuals had significantly fewer felony and misdemeanor arrests and felony cases, in comparison to a propensity score matched group. The focus group and interview data describe that the collaboration, the warm handoff, and LEAD's harm reduction principles were mechanisms of success. However, obtaining officer buy-in was a key challenge. Despite that obstacle, LEAD SF's harm reduction policing reduces offending, improves the wellbeing of people who use drugs and engage in sex work, and allows the police to carry out their mandate to protect and serve. [ABSTRACT FROM AUTHOR]

In 2016, San Francisco (SF) implemented the Law Enforcement Assisted Diversion (LEAD) program, a harm reduction–based pre-booking diversion system for people who violate drug laws and/or are engaged in sex work. LEAD is set apart from existing diversion programs, as it uses police as point of entry. Prior LEAD studies indicate some success in reducing recidivism and improving life outcomes. However, less is known about program implementation, including barriers and facilitators. Relying on policy documents, interviews, and focus groups, this study describes the LEAD SF's development, operations, adaptations, and challenges. It also identifies the unique context of LEAD SF that led to implementation barriers and facilitators. Results show that SF experienced success in collaboration, relationship building, and client connections to services but experienced challenges in securing and maintaining police officer buy-in and keeping clear and open lines of communication regarding LEAD goals, objectives, policies, and procedures. This led to the termination of LEAD SF in 2020. [ABSTRACT FROM AUTHOR]

This study assessed the early deployment of the Anaheim Police Department's body-worn camera (BWC) program in 2015 by examining camera activations across officers, trends in activations over time, and how different police–community contacts predict BWC activations. These were assessed with correlational analyses among 40 BWC-equipped officers in the first 6 months of their use. Activation of the BWCs among officers varied widely, with 6-month average activations ranging from 0% to 72%. Average activation rates increased over time from 3% to 54%. Officers disproportionately activated their cameras for events related to crimes; for example, activation rates for other categories were significantly lower compared to violent crimes, with odds ratios ranging from 0.148 to 0.663. The article concludes with a discussion on how the failure to activate a BWC limits the potential benefits of the technology. While officers have considerable discretion on when to activate their BWCs, law enforcement agencies must not only train and deploy BWCs among their officers but also audit and supervise individual use to ensure successful BWC programs. [ABSTRACT FROM AUTHOR]

Objectives: This study looks at whether social opportunity structures are associated with transitions into more serious drug market offending. Our focus is on the speed at which transitions occurred, and whether variations in criminal embeddedness play a role in explaining this. Methods: A survey of 520 North American cannabis cultivators allowed us to assess one dimension of the criminal career—escalation—looking at the speed of transitions from cannabis user to grower. Our main predictor, criminal embeddedness, was measured through the presence of a cultivation mentor involved in cannabis cultivation. Results: Cox proportional hazard regression analysis demonstrated late cannabis use onset and an indicator of the number of drugs used beyond cannabis were found to accelerate transitions. In addition, within-person changes in mentorship were found to influence the timing of escalation, with meeting a mentor associated with quicker transitions into cannabis cultivation. Conclusions: Findings emphasize the role of mentors as gateways into new milieus. Results support increased attention to the immediate social networks and broader social opportunity structures in which offenders and would-be offenders are embedded as major factors driving the timing of onset into more serious criminal pathways. [ABSTRACT FROM AUTHOR]

This introduction to the JCCJ special issue on illicit networks seeks to accomplish three objectives. First, we offer a brief explanation of the network paradigm and its importance to criminology; our purpose is to convince readers of the utility of social network analysis (SNA). Second, we summarize the benefits of working groups with the aim of providing readers with the context from which they can understand why these informal collectives are critical to the advancement of science. And finally, the remainder of the article introduces the research assembled for this special issue. [ABSTRACT FROM AUTHOR]

Illicit markets capitalize on the vulnerabilities of trade systems. When these weaknesses involve mechanisms common to several aspects of transnational commerce, the effect of illicit behavior, and conversely of anti-crime policy, can be magnified. This study introduces a script-network method to estimate the impact of targeting illicit behavior within the context of an entire market system. Using the high-value art and antiquities market as a case study, we anticipate the effects of two anti-crime policy directives--movement control and monitoring financial transactions. In addition to advancing a new method, two original metrics are presented--one measures the complexity of sectors in a trade system (complexity) and the other anticipates the incentive to work around crime control efforts (transformity). In consideration of these system characteristics, our results suggest that maximum decoupling of illicit\legal trade is more likely with the introduction of safeguards targeting central trade functions that are associated with valuing and gifting objects. Network-oriented research could help the prevailing market reduction approach (MRA) to be more effective in reducing transnational illicit trade because network analytics are specially crafted for dealing with the statistical challenges that are inherent to studying transnational illicit market systems. [ABSTRACT FROM AUTHOR]

Facilities that draw youth from different communities are prone to become offender convergence settings and intercity crime generators. Applying network analysis to self-nominated hangouts of 5,082 delinquent youth residing in Southern California revealed specific facilities acting as regional convergence settings. A small number of magnetic locations (measured by popularity and breadth of appeal) enable the congregation and interaction of youth that would otherwise not be exposed to each other. As predicted, the sociocirculatory structure of place networks remains relatively constant over time. In-degree and betweenness centrality statistics offer a viable analytic strategy to identify facilities operating as stable regional convergence locations. Crime prevention programs invoking effective place management through ordinances may offer a way to publicly govern these private facilities. [ABSTRACT FROM PUBLISHER]

Uncovering the resiliency of ties between individuals involved in criminal enterprise will contribute to our understanding of how illicit markets function. To examine activities along the entire drug market commodity chain, this study extracted information about individuals involved or associated with trafficking (1,998 people) from police intelligence reports generated from 2004 to 2006. Significant differences were found for centrality and cohesion across market niches. Results show that the highest fragmentation potential lies with individuals who are involved with smuggling, supply, and financing, particularly when these individuals are also involved in other niches. Variability in small-world and scale-free properties suggest that interdiction strategies must be tailored to niche characteristics. [ABSTRACT FROM PUBLISHER]

It is common practice in survey questionnaires to include a general open and non-directive feedback question at the end, but the analysis of this type of data is rarely discussed in the methodological literature. While these open-ended comments can be useful, most researchers fail to report on this issue. The aim of this article is to illustrate and reflect upon the benefits and challenges of analyzing responses to open-ended feedback questions. The article describes the experiences of coding and analyzing data generated through a feedback question at the end of an international online survey with small-scale cannabis cultivators carried out by the Global Cannabis Cultivation Research Consortium. After describing the design and dataset of the web survey, the analytical approach and coding frame are presented. The analytical strategies chosen in this study illustrate the diversity and complexity of feedback comments which pose methodological challenges to researchers wishing to use them for data analyses. In this article, three types of feedback comments (political/policy comments, general comments of positive and negative appreciation, and methodological comments) are used to illustrate the difficulties and advantages of analyzing this type of data. The advantages of analyzing feedback comments are well known, but they seem to be rarely exploited. General feedback questions at the end of surveys are typically non-directive. If researchers want to use these data for research and analyses, they need a clear strategy. They ought to give enough thought to why they are including this type of question, and develop an analytical strategy at the design stage of the study. [ABSTRACT FROM AUTHOR]