This resource introduces the "Layer Cake" approach, a framework for driving behavior change in government systems and public services by addressing all layers of service delivery, from frontline staff to policymakers, with an emphasis on human-centered design and civic participation.
This report summarizes findings and observations on the implementation of Phase 1 of the U.S. Department of Labor’s Open UI Initiative, highlighting effective strategies, challenges, opportunities, and recommendations for supporting states’ UI modernization efforts.
The report discusses how state Medicaid agencies can enhance efficiency and maintain coverage for eligible individuals by implementing ex parte renewals, which automatically renew beneficiaries' coverage using existing data without requiring action from enrollees.
The experience of the COVID-19 pandemic and its induced recession underscored the crucial importance of unemployment insurance (UI) to workers, and to the stability of the American economy. Temporary federal expansions of unemployment systems during the pandemic showed how they can quickly be scaled to increase benefit levels and to include categories of workers who were not previously eligible, such as the self-employed, caregivers, and low-wage workers. And, states showed that separate programs can be set up to provide similar benefits to workers who are explicitly excluded from unemployment insurance—in particular immigrants who do not have a documented immigration status.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
Artificial intelligence promises exciting new opportunities for the government to make policy, deliver services and engage with residents. But government procurement practices need to adapt if we are to ensure that rapidly-evolving AI tools meet intended purposes, avoid bias, and minimize risks to people, organizations, and communities. This report lays out five distinct challenges related to procuring AI in government.
