Machine Learning in Workforce Development Research: Lessons and Opportunities
Date
2021-11Author
Mills De La Rosa, Siobhan; US DOL
Greenstein, Nathan; US DOL
Schwarts, Deena; US DOL
Lloyd, Charlotte; US DOL
Abstract
This brief summarizes experiences and lessons learned from the Descriptive and Analytical Career Pathways Project's machine learning study conducted by Abt Associates. Key findings demonstrate the utility of machine learning in the right context, as well as highlight potential risks and limitations users should be aware of with this approach.