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.

非法供应网络（D-ISN）项目的这种破坏运营将通过为如何最好地破坏和拆除，而不是简单地取代非法性贩运网络，从而增强国家健康，繁荣和福利。 性贩运是一种滥用人权，使用高度剥削和经常暴力的手段来控制受害者。 这些非法网络得到了复杂而敏捷的犯罪企业的支持，这些企业强迫受害者进行其他犯罪活动，例如盗窃或出售非法毒品，以增强企业的商业可行性。 预计该项目将支持对这些网络的运作方式以及它们对干预措施的动态反应的见解，以确保（i）干预措施真正破坏和拆除操作，以及（ii）干预措施针对操作员而不是网络的受害者。 该项目将半结构化混合方法定性研究和运营研究（特别是网络插条模型）与以幸存者为中心的咨询小组和人口贩运调查工作组的意见相结合，以模拟人口贩运的有效网络破坏。 这些非学术群体的专业知识将有助于确保我们的研究对性贩运操作员和受害者的有针对性干预措施的后果（无论是意图和无意）所带来的后果，以了解什么构成有效的破坏，该项目将基于从研究案例文件中响应的各个咨询案例响应的范围响应的新网络拦截模型建立新的网络拦截模型。战术。 网络拦截模型的结果将通过知识渊博的利益相关者（例如幸存者，执法人员，贩运者和倡导者）的定性研究来验证。 这项研究将通过了解他们对潜在的破坏以及性贩运受害者如何被迫进行其他非法活动的反应，从而有助于我们对性贩运网络的了解。它将通过检查贩运者在操作网络之前对中断反应的问题来为网络拦截文献做出贡献。 该项目还将调查金融流和通信的关键基础设施如何支持性贩运网络中涉及的不同犯罪活动。 这项研究的结果将传达给为性贩运受害者和明尼苏达州刑事逮捕人口贩运调查人员工作组的组织传达的。这项研究的政策影响将有助于确定各种性贩运中断策略的意外后果以及从多个利益相关者角度有效的策略。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来支持的。

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