3 research outputs found

    The Kurdistan Worker's Party (PKK) in London: Countering Overseas Terrorist Financing and Support with "Nudge" and Situational Approaches

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    Overseas diasporas have long been exploited by terrorist organisations seeking funding and support from areas beyond their operation. The Kurdistan Worker’s Party (PKK), active in south-eastern Turkey, is no exception and maintains a significant international presence. This paper uses 73 survey responses and 13 interviews amongst London’s Turkish and Kurdish diaspora to provide an original and comprehensive insight into the PKK’s overseas operations, including their offending patterns, methods, hotspots, offender/victim profiles and existing countermeasures. Respondents were also consulted on new community-based prevention measures designed to address limited law enforcement responses and the laissez-faire approaches of diaspora host countries. This strategy, which combines crime science and behavioural economic theories, consists of Clarke’s “Situational Crime Prevention” theory and Thaler and Sunstein’s “Nudge” theory (SCP+N). The results indicate that the PKK creates criminal opportunities by “legitimising” itself across diasporas by invoking ideological sympathy and social dependence (conceptualised as “constructed legitimisers”), ensuring minimal resistance to its activities. SCP+N is motivated as an effective counterstrategy, addressing both the rational and impulsive nature of offending. The overall theoretical contribution of this paper is to assess overseas terrorist financing through a prevention-oriented, situational and behavioural framework, and to propose a community-based strategy to effectively counter such activities

    Cryptocurrencies and future financial crime.

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    Background: Cryptocurrency fraud has become a growing global concern, with various governments reporting an increase in the frequency of and losses from cryptocurrency scams. Despite increasing fraudulent activity involving cryptocurrencies, research on the potential of cryptocurrencies for fraud has not been examined in a systematic study. This review examines the current state of knowledge about what kinds of cryptocurrency fraud currently exist, or are expected to exist in the future, and provides comprehensive definitions of the frauds identified. Methods: The study involved a scoping review of academic research and grey literature on cryptocurrency fraud and a 1.5-day expert consensus exercise. The review followed the PRISMA-ScR protocol, with eligibility criteria based on language, publication type, relevance to cryptocurrency fraud, and evidence provided. Researchers screened 391 academic records, 106 of which went on to the eligibility phase, and 63 of which were ultimately analysed. We screened 394 grey literature sources, 128 of which passed on to the eligibility phase, and 53 of which were included in our review. The expert consensus exercise was attended by high-profile participants from the private sector, government, and academia. It involved problem planning and analysis activities and discussion about the future of cryptocurrency crime. Results: The academic literature identified 29 different types of cryptocurrency fraud; the grey literature discussed 32 types, 14 of which were not identified in the academic literature (i.e., 47 unique types in total). Ponzi schemes and (synonymous) high yield investment programmes were most discussed across all literature. Participants in the expert consensus exercise ranked pump-and-dump schemes and ransomware as the most profitable and feasible threats, though pump-and-dumps were, notably, perceived as the least harmful type of fraud. Conclusions: The findings of this scoping review suggest cryptocurrency fraud research is rapidly developing in volume and breadth, though we remain at an early stage of thinking about future problems and scenarios involving cryptocurrencies. The findings of this work emphasise the need for better collaboration across sectors and consensus on definitions surrounding cryptocurrency fraud to address the problems identified

    From single-molecule detection to next-generation sequencing: microfluidic droplets for high-throughput nucleic acid analysis

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