A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers

This paper describes a process that integrates behavioral and decision science methods to design and evaluate interventions to disrupt illicit behaviors. We developed this process by extending a framework used to study systems with uncertain outcomes, where only partial information is observable, an...

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Main Authors: Matt Kammer-Kerwick, Mayra Yundt-Pacheco, Nayan Vashisht, Kara Takasaki, Noel Busch-Armendariz
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Societies
Subjects:
Online Access:https://www.mdpi.com/2075-4698/13/4/96
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author Matt Kammer-Kerwick
Mayra Yundt-Pacheco
Nayan Vashisht
Kara Takasaki
Noel Busch-Armendariz
author_facet Matt Kammer-Kerwick
Mayra Yundt-Pacheco
Nayan Vashisht
Kara Takasaki
Noel Busch-Armendariz
author_sort Matt Kammer-Kerwick
collection DOAJ
description This paper describes a process that integrates behavioral and decision science methods to design and evaluate interventions to disrupt illicit behaviors. We developed this process by extending a framework used to study systems with uncertain outcomes, where only partial information is observable, and wherein there are multiple participating parties with competing goals. The extended framework that we propose builds from artefactual data collection, thematic analysis, and descriptive analysis, toward predictive modeling and agent-based modeling. We use agent-based modeling to characterize and predict interactions between system participants for the purpose of improving our understanding of interventional targets in a virtual environment before piloting them in the field. We apply our extended framework to an exploratory case study that examines the potential of worker centers as a venue for deploying interventions to address labor exploitation and human trafficking. This case study focuses on reducing wage theft, the most prevalent form of exploitation experienced by day laborers and applies the first three steps of the extended framework. Specifically, the case study makes a preliminary assessment of two types of social interventions designed to disrupt exploitative processes and improve the experiences of day laborers, namely: (1) advocates training day laborers about their workers’ rights and options that they have for addressing wage theft and (2) media campaigns designed to disseminate similar educational messages about workers’ rights and options to address wage theft through broadcast channels. Applying the extended framework to this case study of day laborers at a worker center demonstrates how digital technology could be used to monitor, evaluate, and support collaborations between worker center staff and day laborers. Ideally, these collaborations could be improved to mitigate the risks and costs of wage theft, build trust between worker center stakeholders, and address communication challenges between day laborers and employers, in the context of temporary work. Based on the application of the extended framework to this case study of worker center day laborers, we discuss how next steps in the research framework should prioritize understanding how and why employers make decisions to participate in wage theft and the potential for restorative justice and equity matching as a relationship model for employers and laborers in a well-being economy.
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spelling doaj.art-a21e38c979c04cbaa489b0d0885f1d102023-11-17T21:21:32ZengMDPI AGSocieties2075-46982023-04-011349610.3390/soc13040096A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day LaborersMatt Kammer-Kerwick0Mayra Yundt-Pacheco1Nayan Vashisht2Kara Takasaki3Noel Busch-Armendariz4BBR, IC2 Institute, The University of Texas at Austin, 2815 San Gabriel Street, A0300, Austin, TX 78705, USABBR, IC2 Institute, The University of Texas at Austin, 2815 San Gabriel Street, A0300, Austin, TX 78705, USABBR, IC2 Institute, The University of Texas at Austin, 2815 San Gabriel Street, A0300, Austin, TX 78705, USABBR, IC2 Institute, The University of Texas at Austin, 2815 San Gabriel Street, A0300, Austin, TX 78705, USAIDVSA, Steve Hicks School of Social Work, The University of Texas at Austin, 1925 San Jacinto Blvd., Austin, TX 78712, USAThis paper describes a process that integrates behavioral and decision science methods to design and evaluate interventions to disrupt illicit behaviors. We developed this process by extending a framework used to study systems with uncertain outcomes, where only partial information is observable, and wherein there are multiple participating parties with competing goals. The extended framework that we propose builds from artefactual data collection, thematic analysis, and descriptive analysis, toward predictive modeling and agent-based modeling. We use agent-based modeling to characterize and predict interactions between system participants for the purpose of improving our understanding of interventional targets in a virtual environment before piloting them in the field. We apply our extended framework to an exploratory case study that examines the potential of worker centers as a venue for deploying interventions to address labor exploitation and human trafficking. This case study focuses on reducing wage theft, the most prevalent form of exploitation experienced by day laborers and applies the first three steps of the extended framework. Specifically, the case study makes a preliminary assessment of two types of social interventions designed to disrupt exploitative processes and improve the experiences of day laborers, namely: (1) advocates training day laborers about their workers’ rights and options that they have for addressing wage theft and (2) media campaigns designed to disseminate similar educational messages about workers’ rights and options to address wage theft through broadcast channels. Applying the extended framework to this case study of day laborers at a worker center demonstrates how digital technology could be used to monitor, evaluate, and support collaborations between worker center staff and day laborers. Ideally, these collaborations could be improved to mitigate the risks and costs of wage theft, build trust between worker center stakeholders, and address communication challenges between day laborers and employers, in the context of temporary work. Based on the application of the extended framework to this case study of worker center day laborers, we discuss how next steps in the research framework should prioritize understanding how and why employers make decisions to participate in wage theft and the potential for restorative justice and equity matching as a relationship model for employers and laborers in a well-being economy.https://www.mdpi.com/2075-4698/13/4/96labor exploitationlabor traffickingintervention frameworkagent-based modelsdisruptioncollaboration
spellingShingle Matt Kammer-Kerwick
Mayra Yundt-Pacheco
Nayan Vashisht
Kara Takasaki
Noel Busch-Armendariz
A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
Societies
labor exploitation
labor trafficking
intervention framework
agent-based models
disruption
collaboration
title A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
title_full A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
title_fullStr A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
title_full_unstemmed A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
title_short A Framework to Develop Interventions to Address Labor Exploitation and Trafficking: Integration of Behavioral and Decision Science within a Case Study of Day Laborers
title_sort framework to develop interventions to address labor exploitation and trafficking integration of behavioral and decision science within a case study of day laborers
topic labor exploitation
labor trafficking
intervention framework
agent-based models
disruption
collaboration
url https://www.mdpi.com/2075-4698/13/4/96
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