EAGER: ISN: A New Multi-Layered Network Approach for Improving the Detection of Human Trafficking

这一探索性研究早期概念拨款（EAGER）将通过解决允许人口贩运有效运作的供应链，促进国家卫生和安全。人口贩运是非法贸易者最大的收入来源之一，对受害者造成了毁灭性的影响，其中许多受害者是美国公民。通过帮助发现和破坏贩卖个人的犯罪组织所使用的社会、金融和物理网络，这项研究将有助于限制他们的行动和资金，从而加强国家安全。打击人口贩运也将对许多青年，特别是女性的生活产生积极影响。研究成果将显著推动社会科学和运筹学的发展。这项研究的见解将被包括在运筹学、人口贩运、非法贸易和跨国犯罪的课程中，这些课程包括在乔治梅森大学（George Mason University）沙尔政策与政府学院（Schar School of Policy and Government）和Volgenau工程学院的项目中。本研究将使用多层网络方法，提供一种将不同类型的数据源和多学科模型纳入整体方法的系统方法。该项目将社会科学方法与运筹学方法相结合，开发描述贩运网络复杂运作的定量模型。第一阶段将包括分析有关人口贩运供应链、运输物流和金融交易的现有和现有数据。为了改进对人口贩运的侦查，将开发一种新的范例，使其能够分析这些多个重叠的网络。对现有人口贩运案件数据的分析将在乔治梅森大学跨国犯罪和腐败中心的网站上公布，并在与供应链、人口贩运和非法贸易有关的政府、企业和决策者的更大范围内广泛传播。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。

This EArly-concept Grant for Exploratory Research (EAGER) will advance the national health and security by addressing the supply chains that allow human trafficking to function effectively. Human trafficking is one of the top revenue generators for illicit traders and has devastating effects on its victims, many of which are U.S. citizens. By aiding the detection and disruption of the social, financial, and physical networks used by criminal organizations that traffic individuals, this research will help to limit their operations and funding, thereby enhancing national security. Combating human trafficking will also have a positive impact on the lives of many youth, particularly females. The research outcomes will significantly advance the state of the art in social science and operations research. Insights from the research will be included in classes on operations research, human trafficking, illicit trade and transnational crime included in the programs of both the Schar School of Policy and Government and the Volgenau School of Engineering at George Mason University. This research will use a multi-layered network approach that provides a systematic way to incorporate different types of data sources and multidisciplinary models into a holistic approach. The project combines social science methods with operations research methods to develop quantitative models that describe the complex operations of trafficking networks. The first phase will include analysis of existing and available data on human trafficking supply chains, transport logistics and financial transactions. To improve the detection of human trafficking, a new paradigm that enables the analysis of these multiple overlapping networks will be developed. The analysis of data on available human trafficking cases will be published on the website of the Transnational Crime and Corruption Center at George Mason University and widely disseminated within the larger community of government, business and policy makers concerned with supply chains, human trafficking and illicit trade.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.