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Posts in Data Analysis
The political economy of illicit drug crops: forum introduction

By Frances Thomson, Patrick Meehan & Jonathan Goodhand (02 Apr 2024):

his article and the forum it introduces examine illicit drug crop (IDC) economies from agrarian perspectives. Examining IDCs as a group implies analysing how prohibition distinguishes them from other (licit) crops. We identify seven mechanisms through which prohibition shapes the agrarian political economy of IDCs and explore how these mechanisms and their effects generate distinctive patterns of development and political action amongst ‘illicit peasantries’. We also examine connections between illicit and licit crops, including how licit crop crises and illicit crop booms intertwine. We argue that IDC economies provide a bulwark for smallholders but are by no means peasant idylls.

The Journal of Peasant Studies. 2024. 39p.

A Framework for Countering Organised Crime: Strategy, Planning, and the Lessons of Irregular Warfare

By David H. Ucko and Thomas A. Marks

Organised crime is not going well. According to the 2021 Global Organized Crime index, ‘the global illicit economy simply continue[s] along the upward trajectory it has followed over the past 20 years, posing an ever-increasing threat to security, development and justice – the pillars of democracy’ (Global Initiative, 2021, p. 8). Wherever governments seek to draw the line, criminal actors find profitable ways of crossing it; wherever governments fail to deliver on human need, criminal actors capitalise on citizens’ desire or despair. As of now, more than three-quarters of the world’s population ‘live in countries with high levels of criminality, and in countries with low resilience to organized crime’ (Global Initiative, 2021, p. 12). On aggregate, the associated activity amounts to an illicit form of governance, furnishing alternative services to a wide range of clients, be they the vulnerable and weak or a covetous elite. The breadth of organised crime, its clandestine nature, and its blending of creative and destructive effects make it difficult to counter. In past SOC ACE research, we argued that the response to organised crime often shares certain pitfalls with counterterrorism, at least since 9/11 (Ucko & Marks, 2022c). Both efforts have been stymied by 1) conceptual uncertainty of the problem at hand; 2) an urge to address the scourge head on (be it violence or crime), without acknowledging its socioeconomic-political context; and, therefore, 3) unquestioned pursuit of strategies that miss the point, whose progress is difficult to measure, and which may even be counterproductive. This convergence is based on the common features of the two phenomena, which are both concerned with i) collective actors, who ii) use violence and coercion among other methods; and who have iii) corrupting, or outright destructive effects on society. Though organised crime is not consciously political in its ideological motivation, it is – like terrorism – deeply political in its origins, activities, and effects. Given the conceptual overlap, and the common pathologies that undermine response, the lessons from countering terrorism are relevant also to the countering of organised crime. Focusing on the concept of ‘irregular warfare’, our past research identified six key lessons, touching upon 1) the socio-political embeddedness of the problem, 2) the tendency to militarise the response, 3) the mirror-imaging of state assistance programmes, 4) the invaluable role of community mobilisation, 5) the dearth of strategy, and 6) the need to engage more closely with questions of political will. As argued elsewhere, these challenges point to a need for greater strategic competence both in assessing the problem of organised crime and in designing a response (Ucko & Marks, 2022c).

To generate this strategic competence, this follow-on report sets out an analytical toolkit to assist planners and policymakers with the crafting of strategy. This ‘Framework of Analysis and Action’ builds upon lessons – negative and positive – learned via years of experience with irregular warfare, defined by the Department of Defense as ‘a violent struggle among state and non-state actors for legitimacy and influence over the relevant population(s)’ (U.S. Department of Defense, 2007, p. 1).1 It is a framework that finds its origins within the U.S. National Defense University’s College of International Security Affairs (CISA), where for two decades it has been used to teach strategic planning for complex and intensely political challenges (Ucko & Marks, 2022a). The framework consists of two parts: the Strategic Estimate of the Situation (which maps the problem, explores its drivers, frames, and methods, and critiques the current response) and the Course of Action (which uses the strategic estimate to design an appropriate strategy, guided by a theory of success). The framework is in this report adapted for organised crime, to enable the mapping of relevant actors and the crafting, thereby, of a viable response. By design, the framework responds to the six key lessons identified in our earlier work. This report goes through the framework and explains its adaptation to organised crime. Appendix A provides a summation of the toolkit, a ‘user’s guide’, that will facilitate application of the framework. Testing to date suggests great potential and we look forward to sustaining a dialogue with those engaged with countering organised crime to further evolve this toolkit. Indeed, since the beginning, this framework has been a living product, enriched by theoretical application in the classroom and practical use in the field.

SOC ACE Research Paper No. 19. Birmingham, UK: University of Birmingham, 2023. 45p.

Criminal Careers of Burglars and Robbers in the Netherlands

By Mathijs Kros, Tjeerd W. Piersma & Karin A. Beijersbergen

This paper investigates criminal career characteristics and trajectories of domestic burglars, residential and commercial robbers, and street robbers in the Netherlands. We used longitudinal data which includes the criminal cases from 1997 until 2020 for all people of 12 years or older. We studied all 89,062 offenders that had at least one criminal case in the period between 2002 and 2004. Semiparametric group trajectory models were used to cluster these offenders into groups with similar criminal careers. Our results suggest that in order to predict who will follow the career path of a life-course persistent offender, it is important to distinguish between specific groups of offenders. Life-course persistent offenders are found amongst domestic burglars, residential and commercial robbers, and street robbers, but not amongst offenders of other types of crime. Furthermore, the size of the group of life-course persistent offenders varies between the domestic burglars, residential and commercial robbers, and street robbers and is largest for domestic burglars. Other criminal career characteristics, such as age of onset, age of termination, duration, and specialisation, are also compared between offender groups.

J Dev Life Course Criminology 9, 379–403 (2023).

Situational crime prevention of antiquities trafficking: a crime script analysis.

By Christine Acosta Weirich

In the aftermath of the Arab Spring in 2011, many nations in the Cradle of Civilization faced civil unrest, much of which continues today in the form of the ongoing Syrian Civil War, the conflict in Yemen, and instability in nations such as Iraq and Turkey. As a consequence, antiquities and cultural heritage in the region are currently facing a notoriously exacerbated level of risk. Despite the looting and destruction of cultural objects and monuments presenting a longstanding global and historical trend, the field of antiquities trafficking research lacks a unique and effective perspective within its current body of work and research. Likewise, criminology as a scientific field of study has largely overlooked the complex issue of looting and trafficking of cultural objects. This thesis focuses on the issue of Antiquities Trafficking Networks from a crime prevention perspective and attempts to demonstrate the effectiveness and apt nature of Crime Script Analysis and Situational Crime Prevention. This is accomplished first with a study and analysis of the wider phenomenon of Antiquities Trafficking Networks (from looting to market), followed by a specific case study of antiquities trafficked from within Syria since the beginning of the Civil War. Following these analyses, thirteen prominent Situational Crime Prevention strategies for Antiquities Trafficking Networks, and ten strategies for future conflict zones are generated by this research project. Through these strategies, Crime Script Analysis – in conjunction with Situational Crime Prevention – has proven to be a highly effective and efficient method and framework for studying this particularly difficult field. Ultimately, this thesis proposes a new crime prevention-focused methodology, to help tackle the issue of antiquities trafficking, as well as presenting one of the first prevention-specific analyses in this area. In doing so, it offers a basic model that maps the structure and necessary elements for antiquities trafficking to occur and allows for future research projects to adapt or customize this script model to situation-specific cases of antiquities looting, transit, and marketing.

Ph.D. Thesis. Glasgow: University of Glasgow, 2018. 312p.

Predicting high-harm offending using national police information systems: An application to outlaw motorcycle gangs

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