This blog discusses a resource developed by the Digital Service at the Centers for Medicare & Medicaid Services (CMS) to assist individuals in navigating mental health, drug, or alcohol issues and connecting with appropriate support services.
U.S. Department of Health and Human Services (HHS)
This paper outlines the need for comprehensive reforms to improve the U.S. government's capacity to effectively implement policies, focusing on reducing bureaucratic inefficiencies, enhancing workforce structures, and leveraging digital infrastructure.
This overview journey map of street homeless outreach reflects the complexity of the service journey from first contact on street to placement in permanent housing.
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
Takeaways from a workshop focusing on applying human-centered design to government artificial intelligence (AI) projects, led by Elham Ali, Researcher from the Beeck Center for Social Impact and Innovation.
This workshop guide offers teams an opportunity to jointly work toward understanding core problems impacting digital delivery in their organization. The guide is structured in two parts: (1) a Miro template and (2) a Facilitation Guide.
This brief offers a new, anti-racist vision for transforming the Child Care and Development Fund (CCDF) into a program that actively pushes back against structural racism and advances racial equity and economic prosperity for all families.
A webinar presenting fresh data on how young adults aged 22 are faring in terms of poverty, employment, education, living arrangements, and access to public benefits.
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
