CLEAR’s mission is to make research on labor topics more accessible to practitioners, policymakers, researchers, and the general public so that it can inform their decisions about labor policies and programs.
- Quantitative research and analysis
- Statistical modeling
- Time series analysis
- Quality measures
- Data validation
- Training and Reemployment
- Strengthening and Disseminating Research
- Quality Measurement
Derekh Cornwell specializes in statistical, econometric, and validation research to evaluate the impacts of health care, labor, and education policy. He has expertise in time series analysis, forecasting, econometrics, psychometrics, health quality measures, data validation, systematic reviews, and adaptive survey design.
Cornwell’s work focuses on labor policy, including impacts of employment and training programs, forecasts of labor demand, and labor market impacts of vocational training on participants. He is a principal investigator for the U.S. Department of Labor’s Clearinghouse for Labor Evaluation and Research, reviewing studies on education and training programs, including community college initiatives and policies to improve employment outcomes. In the health research area, he is the deputy project director leading statistical innovations to support the Value Incentives and Quality Reporting Center, an initiative of the Centers for Medicare & Medicaid Services to make information about hospital quality and performance available to the public. In addition, as a deputy methodologist for the U.S. Department of Education’s What Works Clearinghouse, he conducts systematic reviews of math education research to identify and help disseminate high quality evidence on education programs and policies.
Before joining Mathematica, Cornwell held positions at the U.S. Department of Homeland Security’s Office of Immigration Statistics and the Blue Cross Blue Shield Association. He has a Ph.D. in political science from Indiana University.
Clearinghouse for Labor Evaluation and Research (CLEAR)