This guide provides a detailed overview summarizing the many initiatives and activities from Congress, the White House, federal agencies, and coalitions which may impact the digital identity landscape in the United States, including at state, local, Tribal, and territorial levels.
This article analyzes the strategic use of public policy as a tool for reshaping public opinion. Though progressive revisionists in the 1990s argued that reforming welfare could produce a public more willing to invest in anti-poverty efforts, welfare reform in the 1990s did little to shift public opinion. This study investigates the general conditions under which mass feedback effects should be viewed as more or less likely.
This brief highlights key takeaways from APHSA’s work on young families, starting with an overview of the young families work and its early years, followed by key takeaways and highlights from its final year, ending with opportunities for future work in the young families space.
American Public Human Services Association (APHSA)
APHSA explains how certain tools and recommendations about when people apply for help, engage in services, and maintain benefits can have a powerful effect to either counter or exacerbate structural barriers to accessing assistance.
American Public Human Services Association (APHSA)
This report outlines a dozen fintech and civic tech organizations working across fourteen safety net programs to show what’s possible when modern technology is married to a consumer insights perspective.
The Public Design Evidence Review examines how design practices can improve public policies and services across the UK, exploring what good “public design” looks like, how it’s being used, and what enables or inhibits its impact.
This blog introduces Code for America’s new service blueprint for Medicaid work requirements, highlighting how it can help states map system changes, identify pain points, and prioritize human-centered design.
This report reviews global AI governance tools, highlighting their importance in ensuring trustworthy AI, while identifying gaps and risks in their effectiveness, and offering recommendations to improve their development, oversight, and integration into policy frameworks.
