This budget request details ADES's FY2027 funding priorities—including developmental disability services, child care, IT modernization, and compliance with H.R. 1—and outlines projected fiscal impacts, caseload growth, and programmatic needs across the state
This slide deck describes the main mechanisms in a dynamic analysis of H.R. 1, explains the changes to SNAP, and explains the macroeconomic effects and budgetary feedback of those changes.
This guide outlines key strategies, definitions, and procedures for improving SNAP payment accuracy and reducing quality control (QC) error rates across states.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
A statewide framework defining six core digital skills standards to equip North Carolina residents with the competencies needed to participate safely, confidently, and effectively in an increasingly digital world.
North Carolina Department of Information Technology (NCDIT)
A directive issued by the Commonwealth of Virginia to materially reduce the error rate in Supplemental Nutrition Assistance Program (SNAP) benefit processing among local social services offices.
This document provides two Spanish language templates for SNAP agencies to use to communicate SNAP work requirement changes to participants who are newly subject to requirements.
American Public Human Services Association (APHSA)
A guidance resource for state and local governments outlining first-step actions to prepare for compliance with the new web and mobile accessibility rule under Americans with Disabilities Act (ADA).
A strategy outlining a new, outcome-driven, slice-based approach to modernizing Medicaid Enterprise Systems, prioritizing experimentation, measurable outcomes, and cultural transformation over traditional large-scale system replacements.
A blog post outlining key strategies states can use to lower SNAP payment error rates, a priority given new fiscal penalties tied to error rates under recent federal law.