This report summarizes 21 policy options and waivers across all 53 SNAP State agencies, showing how each implements administrative and eligibility flexibilities permitted under federal law.
This article examines the matrix of vulnerabilities that low-income populations face from the widespread collection of big data and predictive analytics.
An evaluation report assessing the performance of “Consult,” an AI-powered tool developed by the UK government’s Incubator for AI (i.AI), to analyse public consultation responses for the Scottish Government.
Government of Scotland Department for Science, Innovation and Technology (DSIT)
An impact report summarizing how a small public-sector innovation team tested, built, and piloted shared digital services to reduce administrative burden in public benefits delivery.
This milestone table outlines a detailed roadmap for states to implement mandatory Medicaid work reporting requirements under H.R. 1 by January 1, 2027.
This report recommends updating the methodology used by the Census Bureau to calculate the Supplemental Poverty Measure (SPM) to reflect household basic needs and replace the current Official Poverty Measure as the primary statistical measure of poverty. The report assesses the strengths and weaknesses of the SPM and provides recommendations for updating its methodology and expanding its use in recognition of the needs of most American families such as medical care, childcare, and housing costs.
National Academies of Sciences, Engineering, and Medicine
This section of the Building Resilience plan outlines comprehensive strategies to help states prevent, detect, and recover unemployment insurance (UI) fraud while protecting legitimate claimants.
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 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 article advises government agencies to prioritize cybersecurity methods over AI-driven approaches when combating identity fraud in benefits programs, highlighting potential risks that automated systems pose to legitimate applicants.
