This quarterly research update aims to highlight key learnings related to improving unemployment insurance (UI) systems in the areas of equity, timeliness, and fraud, and monitor for model UI legislation and policy related specifically to technology. Subscribe to receive future editions.
This article shares insights from Minnesota-based focus groups, revealing that low-income women navigating unemployment insurance often face confusion and uncertainty around eligibility, complex administrative processes, and additional challenges related to childcare, housing stability, and mistrust of benefit systems.
A data report providing updated statistics on key federal programs that support the well-being of women, LGBTQI+ individuals, and their families, highlighting trends, coverage gaps, and areas for policy improvement.
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 panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
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.
This report 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.
This user guide provides step-by-step instructions for families in Iowa to find licensed child care providers online based on location, schedule, and program preferences.
