Can Machine Learning Prevent Human Trafficking? Using Data and Technology to Tailor Policies and Programs Toward Vulnerable Populations in Your Community

This presentation will investigate how to use data and technology to prevent human trafficking in communities, before it starts. It will explore the opportunity to utilize a novel machine learning approach to identify local risk factors to guide collaborative, data-oriented prevention programs. Surprising findings from a case study will be shared that challenge existing assumptions on the key drivers of human trafficking.

Publication Details

Journal
SMU Scholar (Southern Methodist University)
Published
2025-06-10
Primary Topic
Sex work and related issues
Type
article
Field-Weighted Citation Impact
0.00
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article

Can Machine Learning Prevent Human Trafficking? Using Data and Technology to Tailor Policies and Programs Toward Vulnerable Populations in Your Community

SMU Scholar (Southern Methodist University)
Sex work and related issues
article

Can Machine Learning Prevent Human Trafficking? Using Data and Technology to Tailor Policies and Programs Toward Vulnerable Populations in Your Community

article en

Abstract

This presentation will investigate how to use data and technology to prevent human trafficking in communities, before it starts. It will explore the opportunity to utilize a novel machine learning approach to identify local risk factors to guide collaborative, data-oriented prevention programs. Surprising findings from a case study will be shared that challenge existing assumptions on the key drivers of human trafficking.

SMU Scholar (Southern Methodist University)
Gender equality
Openalex Percentile: Top 39%
Sex work and related issues
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Can Machine Learning Prevent Human Trafficking? Using Data and Technology to Tailor Policies and Programs Toward Vulnerable Populations in Your Community · SMU Scholar (Southern Methodist University) (2025) | TGRS Research Map | TGRS