This section of the Building Resilience plan outlines strategies to improve the long-term solvency and sustainability of state unemployment insurance (UI) trust funds through better funding practices and legislative reform.
In this summary, the authors use WBNS data to provide updated estimates of chilling effects in 2023 among immigrant families (i.e., in which the respondent or a family member living with them was not born in the US).
This report highlights key findings from the Rules as Code Community of Practice, including practitioners' challenges with complex policies, their desire to share knowledge and resources, the need for increased training and support, and a collective interest in developing open standards and a shared code library.
The article presents the True Cost of Economic Security (TCES) measure, showing that over half of U.S. families struggle to meet the comprehensive costs required to thrive, highlighting significant disparities based on family type, location, and race.
This report focuses on the impact of adopting a national PFML program modeled on existing state programs, known as the Family and Medical Insurance Leave (FAMILY) Act.
A training course on using artificial intelligence (AI) tools to de-jargonize government language, with a tutorial on turning a complex piece of government writing into simpler and easier-to-understand language for government employees and residents alike.
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.
The article examines the participation of adults aged 50 and older in the Supplemental Nutrition Assistance Program (SNAP) in 2022, highlighting the program's role in reducing food insecurity and poverty among older adults, especially those with disabilities.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
