D-ISN: TRACK 1: Modeling Effective Network Disruptions for Human Trafficking

D-ISN：轨道 1：对人口贩运的有效网络中断进行建模

• 批准号: 2039584
• 负责人: Thomas Sharkey
• 金额: $ 99.98万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2039584&HistoricalAwards=false
• 关键词: ISN; TRACK; Modeling; Effective; Network

This Disrupting Operations of Illicit Supply Networks (D-ISN) project will enhance national health, prosperity and welfare by contributing new knowledge on how to best disrupt and dismantle, rather than simply displace, illicit sex trafficking networks. Sex trafficking is a human rights abuse and uses highly exploitative and often violent means to control victims. These illicit networks are supported by complex and agile criminal enterprises that coerce victims to perform other criminal activities, such as committing theft or selling illegal drugs, to enhance the commercial viability of the enterprise. The project is expected to support insight into both how these networks operate and how they dynamically react to interventions in order to ensure that (i) interventions truly disrupt and dismantle the operations and (ii) interventions target the operators and not the victims of the network. This project combines semi-structured mixed methods qualitative research and operations research, specifically network interdiction models, with input from a survivor-centered advisory group and a human trafficking investigative task force in order to model effective network disruptions for human trafficking. The expertise of these non-academic groups will help ensure that our research captures the consequences, both intended and unintended, that targeted interventions have on sex trafficking operators and victims in order to understand what constitutes an effective disruption.This project will build new network interdiction models based on qualitative data gleaned from investigative case files as well as input from an advisory group whose members have first-hand knowledge of how trafficking networks respond to various disruption tactics. The results of the network interdiction models will be validated through qualitative research with knowledgeable stakeholders (e.g. survivors, law enforcement, traffickers, and advocates). This research will contribute to our knowledge about sex trafficking networks by understanding how they react to potential disruptions and how sex trafficking victims are forced to conduct other illicit activities. It will contribute to the network interdiction literature by examining problems where the trafficker(s) react to disruptions prior to operating their network. The project will also investigate how critical infrastructure for financial flows and communications supports different criminal activities involved in sex trafficking networks. The results of the research will be communicated to organizations serving sex trafficking victims and the Minnesota Bureau of Criminal Apprehension Human Trafficking Investigators Task Force. The policy implications of this research will help identify unintended consequences of various sex trafficking disruption tactics as well as the tactics that are effective from multiple stakeholder perspectives.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.

这一打击非法供应网络项目将通过提供关于如何最好地打击和摧毁而不是简单地取代非法性贩运网络的新知识，促进国家健康、繁荣和福利。性交易是一种侵犯人权的行为，使用高度剥削和往往是暴力的手段来控制受害者。这些非法网络得到复杂而灵活的犯罪企业的支持，这些企业强迫受害者从事其他犯罪活动，如盗窃或出售非法毒品，以提高企业的商业生存能力。该项目旨在深入了解这些网络的运作方式以及它们对干预措施的动态反应，以确保：(1)干预措施真正破坏和破坏作业；(2)干预措施针对的是作业者，而不是网络的受害者。该项目结合了半结构化混合方法、定性研究和业务研究，特别是网络拦截模型，以及以幸存者为中心的咨询小组和人口贩运调查工作队的投入，以便为人口贩运建立有效的网络中断模型。这些非学术团体的专业知识将有助于确保我们的研究捕捉到有针对性的干预对性交易经营者和受害者产生的有意和无意的后果，以便了解什么是有效的干扰。该项目将根据从调查案件档案中收集的定性数据以及咨询小组的意见建立新的网络拦截模型，该小组成员对贩运网络如何应对各种破坏策略有第一手的了解。网络拦截模型的结果将通过与知识渊博的利益攸关方（如幸存者、执法部门、贩运者和倡导者）进行定性研究来验证。这项研究将有助于我们了解性贩运网络如何应对潜在的中断，以及性贩运受害者如何被迫进行其他非法活动。它将通过检查贩运者在运营其网络之前对中断作出反应的问题，为网络拦截文献做出贡献。该项目还将调查资金流动和通信的关键基础设施如何支持涉及性贩运网络的各种犯罪活动。研究结果将通报给为性贩运受害者服务的组织和明尼苏达州刑事逮捕局人口贩运调查工作队。本研究的政策含义将有助于确定各种性贩运破坏策略的意外后果，以及从多个利益相关者的角度来看有效的策略。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。

项目成果

A transdisciplinary approach for generating synthetic but realistic domestic sex trafficking networks

一种跨学科方法，用于生成综合但现实的家庭性贩运网络

• DOI: 10.1080/24725854.2023.2169418
• 发表时间: 2023
• 期刊: IISE Transactions
• 影响因子: 2.6
• 作者: Kosmas, Daniel;Melander, Christina;Singerhouse, Emily;Sharkey, Thomas C.;Maass, Kayse Lee;Barrick, Kelle;Martin, Lauren
• 通讯作者: Martin, Lauren

Modeling Disruptions to Sex Trafficking Networks with Other Forced Illegal Activities

对性贩运网络与其他强迫非法活动的破坏进行建模

• DOI: 10.1080/23322705.2023.2277103
• 发表时间: 2023
• 期刊: Journal of Human Trafficking
• 作者: Clark, Michael;Sharkey, Thomas C.;Ayler, Tonique;Forliti, Teresa;Friedman, Joy;Mariotti, Mikki;Nelson, Christine;Martin, Lauren
• 通讯作者: Martin, Lauren

Expanding Our Understanding of Traffickers and Their Operations: A Review of the Literature and Path Forward

扩大我们对贩运者及其活动的理解：文献回顾和前进道路

• DOI: 10.1177/15248380231210937
• 发表时间: 2023
• 期刊: & Abuse
• 作者: Barrick, Kelle;Sharkey, Thomas C.;Maass, Kayse Lee;Song, Yongjia;Martin, Lauren
• 通讯作者: Martin, Lauren

Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks

多时段最大流量网络拦截和重组，以扰乱国内性贩运网络

• DOI: 10.1007/s10479-022-05087-3
• 发表时间: 2022
• 期刊: Annals of Operations Research
• 影响因子: 4.8
• 作者: Kosmas, Daniel;Sharkey, Thomas C.;Mitchell, John E.;Maass, Kayse Lee;Martin, Lauren
• 通讯作者: Martin, Lauren

Better together: A transdisciplinary approach to disrupt human trafficking

携手共进：采用跨学科方法打击人口贩运

• 发表时间: 2021
• 期刊: Industrial engineer
• 作者: Sharkey, Thomas C;Maass, Kayse;Song, Yongjia;Barrick, Kelle;Farrell, Amy;Martin, Lauren
• 通讯作者: Martin, Lauren