MEASURING THE RISK FOR HUMAN TRAFFICKING: VARIABLES, RISK SCORE DESIGN, AND A CASE STUDY
Author ORCID
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
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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.