Scaling Evidence-Based Models
Prepared for:
AmeriCorps
Mathematica experts have made three recommendations to help AmeriCorps build a larger portfolio of interventions that work.
Agencies throughout the federal government and other grant-making institutions are increasingly conducting systematic evidence reviews and synthesizing the results of well-executed research to identify interventions that have evidence of effectiveness. These efforts can help funders make strategic decisions about how to effectively and efficiently address individual and community needs. Evidence reviews can also enhance funders’ decisions about scaling up interventions that show the most promise to expand the scope of their impact. This work is designed to generate practical knowledge about how AmeriCorps might foster the successful scaling of effective interventions and help support AmeriCorps’ efforts to identify which interventions work and how they can work for more people.
To solve their most pressing challenges, organizations turn to Mathematica for deeply integrated expertise. We bring together subject matter and policy experts, data scientists, methodologists, and technologists who work across topics and sectors to help our partners design, improve, and scale evidence-based solutions.
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