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Matt Kammer-Kerwick

Has grant

Senior Research Scientist

University of Texas at Austin
Country flagUnited States

Research Interests

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Recent Grants

Grant: Close

D-ISN: TRACK 1: Collaborative Research: Disrupting Exploitation and Trafficking in Labor Supply Networks: Convergence of Behavioral and Decision Science to Design Interventions

Open Date: 2020-09-15

Close Date: 2025-08-31

Grant: Close

EAGER: ISN: Disrupting Exploitation and Trafficking Labor Supply Networks in Post-Harvey Rebuild

Open Date: 2018-09-01

Close Date: 2020-08-31

Grant: Close

Workshop: Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery; Austin, Texas, and Washington, DC

Open Date: 2017-04-01

Close Date: 2018-03-31

Articles (7)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

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.

Year:

2023

Year:

2023

Collaborators (5)

Juan Martin Dabezies

Investigador

University of Maryland at College Park

UNITED STATES
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Carlos Caldas

Professor

University of Texas at Austin

UNITED STATES
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Noel Busch-Armendariz

University Presidential Professor & Director

University of Texas at Austin

UNITED STATES
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Meredith Gore

Professor

University of Maryland

UNITED STATES
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Richard Hyde

Professor of Law, Regulation and Governance

University of Nottingham

UNITED KINGDOM
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