Digital delivery of job training programs allows educational material to meet a worker where they are, matching their availability or need for specific content.
Domain Statement
Historically, worker training required meeting in a physical space and at a given time, and it was difficult to tailor worker training to individual circumstances. And yet the limited empirical evidence evaluating worker training programs has typically found only modest success.
We are working on a variety of research projects and collaborations to improve the opportunities for workers to smoothly transition between industries and to achieve better economic outcomes. When workers better understand which programs meet their needs, they make more informed decisions, and in turn, effective training programs are incentivized to expand and better tailor their offerings to those workers who most benefit from their services.
Project Abstracts
Read about some of the worker training research projects the lab is working on.
Examining the Social Value of Targeting Interventions in Retraining ProgramsThis project uses administrative data, machine learning, and causal inference methods to evaluate the effectiveness of job retraining programs in Rhode Island for different types of individuals. Understanding which segments of the population do not respond well to existing programs in turn informs the design of job retraining programs as well as which programs to recommend to different individuals. |
Boosting Efficacy, Efficiency, and Accountability in Government Training ProgramsLab researchers are building a tool to help participants in government-funded training programs to select the programs likely to be most effective, taking into account an individual’s circumstances and qualifications. With a broad set of collaborators, the lab is using administrative data, science, and technology, and the outcomes of previous program participants to create the tool. This project will also incentivize training programs to add value to the earning capacity of program attendees. |
Interviews
Learn firsthand from some of the researchers and practitioners associated with the lab.