MEASURING THE RISK FOR HUMAN TRAFFICKING: VARIABLES, RISK SCORE DESIGN, AND A CASE STUDY

Presenter Information

Riad Al Hasan Abir

Author ORCID

0009-0006-1816-2747

Abstract

Our research aims to calculate the risk of human trafficking in vulnerable areas and categorize these areas based on key vulnerability factors using unsupervised machine learning techniques, specifically principal component analysis and clustering.

Status

Graduate

Department

Industrial and Systems Engineering

College

Russ College of Engineering and Technology

Campus

Athens

Faculty Mentor

Aros-Vera, Dr. Felipe

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MEASURING THE RISK FOR HUMAN TRAFFICKING: VARIABLES, RISK SCORE DESIGN, AND A CASE STUDY

Our research aims to calculate the risk of human trafficking in vulnerable areas and categorize these areas based on key vulnerability factors using unsupervised machine learning techniques, specifically principal component analysis and clustering.