The Center for Applied Behavioral Science (CABS) combines MDRC’s decades of experience tackling social policy issues with insights from behavioral science. This graphic explains the CABS’s approach to solving problems.
This compendium of written materials comes from the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project. The collection illustrates how specific concepts from behavioral science were used in different settings and formats by practitioners and program designers in child care, child support, and work-support programs.
The SIMPLER framework was developed for the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project ― the first major effort to apply behavioral insights to human services programs in the United States. SIMPLER summarizes several key behavioral concepts that can guide practitioners interested in using behavioral insights to enhance service delivery.
Final Report of the Behavioral Interventions to Advance Self-Sufficiency (BIAS) Project
The BIAS project tested behavioral interventions in child support, child care, and work support programs with nearly 100,000 low-income clients in eight human services agencies. Each site saw at least one significant, low-cost impact. The findings suggest that small environmental changes can enhance client-agency interactions and expanded behavioral strategies might help strengthen programs and policies.
As the first major effort to use a behavioral economics lens to examine human services programs that serve poor and vulnerable families in the United States, the BIAS project demonstrated the value of applying behavioral insights to improve the efficacy of human services programs.
Using Behavioral Economics to Increase On-Time Child Care Subsidy Renewals
This study assessed three different behavioral strategies for providers and clients aimed at increasing the timely renewal of child care subsidies, in order to ensure consistent client services. The findings suggest that strategies designed for staff who work directly with clients may be a fruitful area for future work.