Income and Work Support Policies (TANF, SNAP, Medicaid, CHIP, childcare, tax credits, housing); WIA Job Training Programs; Community Colleges; Program Evaluation; Data Mining and Predictive Analytics; Qualitative Research on Program Implementation
David Seith is a Researcher for the Workforce Data Quality Initiative, an ambitious federal-state project to use longitudinal education and workforce administrative data to evaluate the effectiveness of state and federal workforce programs. He brings policy expertise in healthcare reform, income and work support policies, job training programs, and community colleges, along with methodological expertise in data mining, statistical, and qualitative analyses.
David has worked for five leading research centers, including the National Opinion Research Center, the Chapin Hall Center for Children, MDRC, the National Center for Children in Poverty, and Mathematica Policy Research, as well as both state and federal legislative policy organizations, including the New Jersey Charter School Association and First Focus. He has co-authored more than a dozen implementation and evaluation reports, taught methods seminars, and presented findings to a wide range of audiences, including federal and state government officials, academic and policy conferences, and private foundations. He received a Master’s in Public Administration from Columbia University’s School of International and Public Affairs.