Ten years ago, CUNY ASAP began as a pilot program serving just over a thousand students at six CUNY colleges. Because of its remarkable effects on community college graduation rates, the program has since expanded substantially and has benefited tens of thousands of students.
This grant program funds semester-long paid internships for college juniors and seniors with financial needs. These part-time opportunities, typically with hourly wages of $10-$14, are intended to provide meaningful experiences connected to students’ career interests. Despite some difficulties, many students had highly positive impressions of the program overall.
Encouraging Additional Summer Enrollment (EASE) aims to increase summer enrollment rates among low-income community college students using insights from behavioral science. This infographic describes some of the benefits of summer enrollment, reasons why students may not enroll in summer, and interventions the EASE team designed to address low enrollment rates.
Three-Year Impacts from the WorkAdvance Demonstration
WorkAdvance offers training and placement services to help prepare individuals for quality jobs in sectors that have strong local demand and advancement opportunities. In this update on employment and earnings only, the most experienced provider continued to produce substantial impacts on both; one other provider increased earnings for late enrollees.
Final Results from the Family Self-Sufficiency Study in New York City
FSS provides case management services and a long-term escrow-savings account to housing-assisted families; an enhanced version also offered short-term cash work incentives. Six-year results of the random assignment evaluation show few significant effects overall for either program. However, the enhanced program increased employment and earnings for participants not working at enrollment.
Machine learning algorithms, when combined with the contextual knowledge of researchers and practitioners, offer service providers nuanced estimates of risk and opportunities to refine their efforts. The first post of a new series, Reflections on Methodology, discusses how MDRC helps organizations make the most of predictive modeling tools.