Photo credit: International Fund for Animal Welfare (IFAW)
Combating Wildlife Trafficking Case Study: Predictive Methodologies
tenBoma in Kenya International Fund for Animal Welfare
Summary
tenBoma is a wildlife security initiative that identifies, anticipates, and counters threats to wildlife by applying predictive methodologies to determine when and where wildlife crime events are likely to occur. tenBoma, meaning ten houses, is inspired by an African Learning Questions community security philosophy that if ten houses look out for each Addressed: other, the broader community is safer. The initiative builds capacity of both local law enforcement and communities to (1) deny safe • What are examples of haven to wildlife criminals, (2) increase community security, and (3) institutional arrangements, reveal the organized criminal networks involved in illegal wildlife trade. such as dedicated units or embed programs, that Data are continually collected in the field, aggregated with existing improved the capacity of reports, and analyzed by security experts. This valuable synthesis of enforcement or prosecution information is disseminated to frontline enforcement personnel to staff? address wildlife crime, as well as to local communities to ameliorate • What factors are necessary the root drivers of wildlife crime. for effective cooperation among national, sub-national, and local authorities, especially for Wildlife Enforcement Networks?
• What are some successful examples of partnerships used to deliver competencybuilding activities, and what made them work?
Problem
Anti-poaching and trafficking efforts in Africa are implemented in specific locations but remain disparate and disconnected, which significantly impedes overall efforts to counter wildlife crime. The status quo for ranger patrol efforts has been one-dimensional. Rangers conduct patrols that are largely routine in nature and conducted merely to monitor designated patrol areas. This leads to missed opportunities to develop a more comprehensive intelligence picture, which could support more predictive analytic modeling to increase both efficiency in countering poaching activity and improve ranger safety.
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