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Annalisa Mastri designs and conducts experimental and nonexperimental evaluations of employment and family support interventions. She is the deputy director of the Next Generation of Enhanced Employment Strategies project, a multi-site randomized controlled trial of interventions for people facing multiple employment barriers.
In addition, she uses a systematic technical assistance approach to modernize and improve service delivery in workforce development and cash assistance programs in Philadelphia, Baltimore, and elsewhere. The goal of the technical assistance is to use research evidence and methods to improve outcomes for individuals and families and prepare human service programs for rigorous evaluation.
Mastri, who joined Mathematica in 2007, previously served as principal investigator for the U.S. Department of Labor’s Clearinghouse for Labor Evaluation and Research and the Administration for Children and Families’ Employment Strategies for Low-Income Adults Evidence Review. She holds a Ph.D. in education economics from Stanford University.
For the Models of Coordination and Technical Assistance to Achieve Outcomes in Communities project, Mathematica will partner with ASPE to explore several dimensions of federal-to-local efforts for cross-sector social service coordination.
People who run programs for low-income job seekers and those seeking to promote policies that can improve employment outcomes for low-income individuals need evidence about what works.
In 2008, the U.S. Department of Labor’s Employment and Training Administration commissioned Mathematica to conduct a national random assignment evaluation of the Workforce Investment Act Adult and Dislocated Worker programs' effectiveness.
Project AWESOME, a multi-year effort, is producing cross-cutting research that is responsive to the needs and interests of the field. Mathematica is supporting the development, implementation, and dissemination of this research program.