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Portfolio Study Deliverable
The Chief Evaluation Office of the U.S. Department of Labor (DOL CEO) is committed to using innovative tools to meet the Department’s research, evaluation, and data analytics needs. In December 2021, DOL CEO commissioned the Westat Insight and American Institutes for Research® (AIR®) study team to explore potential opportunities to use machine learning methods to facilitate the automated data collection of labor-relevant data.
Literature Review
Incarcerated or Formerly Incarcerated
In 2021, the Chief Evaluation Office (CEO) funded contractor Westat Insight and their partner American Institutes for Research to conduct the Explorations in Data Innovations project under the Administrative Data Research and Analysis portfolio of studies. This use case study was designed to explore options around employing machine learning to create and maintain a public-facing, labor-related data catalog.
Literature Review
Incarcerated or Formerly Incarcerated
In 2020, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct the Workforce Innovation and Opportunity Act (WIOA) Research Portfolio Project.
The report describes a study that examines the characteristics of workers’ compensation claims, case management indicators, and work outcomes using administrative data on the cases reported under the Federal Employees’ Compensation Act (FECA) from 2005 to 2010.
Outcome Evaluation
Re-Entry