This comprehensive research report evaluates the structural progress, disparities, and operational barriers surrounding artificial intelligence adoption within the United States federal government.
An advisory playbook to help state and local government leaders improve SNAP payment accuracy and lower administrative burdens following the passage of H.R. 1.
This policy brief explores how public procurement can serve as a primary demand-side driver to establish digital sovereignty across the European Union.
A blog introducing an interactive viewer that helps users explore SNAP Quality Control error data to better understand payment accuracy trends and administrative challenges across states.
The first edition of this storytelling series explores the critical role of cognitive accessibility in digital government services through the personal experiences of a scholar and a mother navigating a complex bureaucracy.
This report evaluates the effectiveness and implementation of a generative AI-powered assistive chatbot designed to help caseworkers navigate complex public benefit programs like Medicaid and SNAP.
This brief provides a framework for states to align and coordinate work requirement implementation across SNAP and Medicaid following the passage of H.R. 1.
This research article explores how framing income eligibility guidelines in either dollar amounts or as a percentage of the Federal Poverty Line (FPL) affects public attitudes toward program access and administrative burdens in Medicaid and SNAP.
This technical guide provides a framework for state agencies to minimize procedural terminations and health coverage losses resulting from new Medicaid work reporting requirements.
This article provides an overview of the Medicaid Payment Error Rate Measurement (PERM) program and examines how the 2025 budget reconciliation law introduces new federal funding reductions for states that exceed specific eligibility error thresholds.
