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