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ISN2: Detecting and Interdicting Illicit Wildlife Trafficking Supply Chains

ISN2：检测和拦截非法野生动物贩运供应链

基本信息

批准号：
2120065
负责人：
Meredith Gore
金额：
$ 80.97万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120065&HistoricalAwards=false
关键词：
ISN2 Detecting Interdicting Illicit Wildlife

项目摘要

This award promotes economic welfare and progress of interdisciplinary science, by studying how illegal wildlife supply chains react and respond to policy, law enforcement, and market interventions. Wildlife trafficking generates an estimated US$23 billion annually for the global criminal economy; it can undermine national security, decrease economic prosperity, and fuel social conflict both in the U.S. and abroad. This project builds fundamental insight about how different computational approaches aid methods for detecting network patterns in illicit wildlife supply chains and new understanding about how illicit wildlife supply chain organizations operate (even using legal networks at times). The study will inform resource allocation, monitoring and enforcement, and communication to facilitate effective interdiction activities to combat wildlife trafficking. Further, the award will benefit decisions about how, when, and where to intervene and disrupt illicit wildlife supply networks. The interdisciplinary approach creates new channels of communication between geography, supply chain management, operations research, conservation social science, and computer science. The project supports broad engagement of PhD students in interdisciplinary science, will diffuse results into research journals via publications, university education via business case studies, and conservation practice via engagement of practitioners. Using complementary lines of inquiry into the global problem of wildlife trafficking, the project develops a new, fundamental understanding of wildlife trafficking supply chains (WTSCs), including decision points, behavioral patterns of participants, dynamic linkages between component parts, and convergence with legal supply chains. The research will define, describe, and map key nodes and components of a specific supply chain using existing, team-collected data from an illicit WTSC, create qualitative framework models associated with decisions about WTSCs, develop methods to detect meaningful patterns of weakness and resilience in WTSCs, and create new quantitative WTSC interdiction models and solution approaches building on techniques for network design optimization, the multi-armed bandit, the orienteering problem and green security games. Our outcomes will be to measure operations in a real-world system, develop geospatial information science and computational models about system operations, refine and revise these models to predict resiliency, and test the scalability, performance of the models at tactical and strategic levels and convergence with other illicit supply chains. Results have potentially transformative implications for science and decision-making in broader society.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项通过研究非法野生动物供应链如何对政策、执法和市场干预作出反应和回应，促进经济福利和跨学科科学的进步。据估计，野生动物贩运每年为全球犯罪经济带来230亿美元的收入;它会破坏国家安全，减少经济繁荣，并在美国和国外引发社会冲突。该项目建立了关于不同的计算方法如何帮助检测非法野生动物供应链中的网络模式的方法的基本见解，并对非法野生动物供应链组织如何运作（有时甚至使用法律的网络）有了新的理解。该研究将为资源分配、监测和执法以及沟通提供信息，以促进有效的拦截活动，打击野生动物贩运。此外，该奖项将有助于决定如何，何时以及在何处干预和破坏非法野生动物供应网络。跨学科方法在地理学、供应链管理、运筹学、保护社会科学和计算机科学之间建立了新的沟通渠道。该项目支持博士生广泛参与跨学科科学，将通过出版物将结果传播到研究期刊，通过商业案例研究进行大学教育，并通过从业者的参与进行保护实践。该项目利用对全球野生动物贩运问题的补充调查路线，对野生动物贩运供应链（WTSC）形成了新的基本认识，包括决策点、参与者的行为模式、组成部分之间的动态联系以及与法律的供应链的融合。该研究将定义，描述和映射使用现有的，团队收集的数据从非法WTSC特定供应链的关键节点和组件，创建与WTSC决策相关的定性框架模型，开发方法来检测WTSC中有意义的弱点和弹性模式，并创建新的定量WTSC阻断模型和解决方案方法，建立在网络设计优化技术的基础上，多臂强盗，定向越野问题和绿色安全游戏。我们的成果将是衡量现实世界系统中的操作，开发关于系统操作的地理空间信息科学和计算模型，完善和修改这些模型以预测弹性，并测试模型在战术和战略层面的可扩展性和性能，以及与其他非法供应链的融合。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

ON THE SOCIAL AND COGNITIVE DIMENSIONS OF WICKED ENVIRONMENTAL PROBLEMS CHARACTERIZED BY CONCEPTUAL AND SOLUTION UNCERTAINTY

论以概念和解决方案不确定性为特征的恶劣环境问题的社会和认知维度

DOI：
10.1142/s0219525921500053
发表时间：
2021
期刊：
Advances in Complex Systems
影响因子：
0.4
作者：
ARROYAVE, FELBER J.;GOYENECHE, OSCAR YANDY;GORE, MEREDITH;HEIMERIKS, GASTON;JENKINS, JEFFREY;PETERSEN, ALEXANDER M.
通讯作者：
PETERSEN, ALEXANDER M.

Identifying datasets for global wildlife trafficking

识别全球野生动物贩运数据集

DOI：
10.5281/zenodo.7096921
发表时间：
2022
期刊：
Zenodo
影响因子：
0
作者：
Gore, Meredith;Keskin, Burcu;Macdonald, John;Ferber, Aaron;Griffin, Emily;Prell, Oakley;Dilkina, Bistra;Hilend, Rowan
通讯作者：
Hilend, Rowan

Advancing interdisciplinary science for disrupting wildlife trafficking networks.