Sorry, you need to enable JavaScript to visit this website.
Search
July 25, 2016

Scaling Up to Close the Opportunity Divide for Low-Income Youth: A Case Study of the Year Up Program

Authors

David Fein

This report examines initial efforts to scale up the Year Up program. From its inception in 2000, Year Up expanded its original “core” model—a stand-alone program—from one office in Boston to sites in nine cities serving 2,000 youth annually by 2015. In 2012, Year Up began piloting an adaptation for community college settings designed to improve scalability: the Professional Training Corps (PTC). Program data show that Year Up maintained a high level of performance in its core program while expanding services from 2010-15. During this period, the program’s completion rate increased from 70 to nearly 80 percent, while the number of participants roughly doubled. Similarly, Year Up increased recruitment by 50 percent to generate the PACE control group sample, while maintaining applicant quality. Drawing mainly on interviews with Year Up leaders, this paper distills lessons from three aspects of experiences with growth: expanding recruitment, scaling signature program services, and addressing cross-cutting challenges in scaling. The paper can also be found here on ACF’s website.

See More PACE Reports

Abt’s Approach to Practical AI Adoption for Government

Abt’s AI advisory services help agencies move beyond pilots to AI adoption through structured implementation, strong governance, & workforce enablement.

Learn More
Impact Brief

TSPi Enhances Customer Experience with Farmers.gov

The U.S. Department of Agriculture (USDA) faced the challenge of streamlining access to information, tools, and resources for farmers, ranchers, and landowners.

Learn More
Project

From Silos to Solutions: The Power of Data Linking

Data linking—combining records from multiple datasets—helps businesses, governments, and healthcare providers enhance services, optimize resources, and improve programs.

Learn More
Publication

AI-Driven Efficiency in Public Service: A Q&A with Nora Connor

Government agencies can use artificial intelligence to make better decisions and be more efficient while using Abt’s tools to mitigate risk.

Learn More
Blog