This playbook outlines the ways Community Action and human services agencies worked together to meet the pandemic challenge—what worked well, obstacles and difficulties, and lessons learned to inform the path forward, partnering to achieve a more equitable recovery. It also explains how communities have leveraged opportunities to partner on approaches that hold the promise of deeper, longer lasting changes for families—work shaped by families’ wishes and strengths and designed to advance both family-level and systems-level change.
American Public Human Services Association (APHSA)
This report explains how the A-87 Exception enabled states to modernize and integrate health and human services systems, improving service delivery, efficiency, and data sharing across programs.
American Public Human Services Association (APHSA)
This report examines how state governments organize and manage human services programs, analyzing various agency structures and their impact on service delivery and coordination with the health care sector.
This article discusses Code for America’s research into the user experience of applying or Medicaid, SNAP, TANF, WIC, and LIHEAP in the United States. They found that user experience applying for benefits programs varies greatly by (and often within) each state.
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 blog discusses how the “Big Beautiful Bill” (H.R. 1) contains provisions that undermine SNAP and warns that states will be burdened by its fiscal and administrative impact.
This article offers three human‑centered strategies to help state agencies implement expanded work reporting requirements in SNAP and Medicaid under H.R. 1 with minimal burden on clients and staff.
This report explores policy options Utah and other states can adopt to mitigate benefit cliffs, which occur when small income increases lead to sudden loss of public assistance.
The team conducted experiments to determine whether clients would be responsive to proactive support offered by a chatbot, and identify the ideal timing of the intervention.
This guide is intended to provide a general overview of the national statutory and regulatory landscape governing the legality of sending large volumes of text messages and sharing client information.
18F, a consultancy within the U.S. General Services Administration, developed a prototype API and pre-screener to model federal SNAP eligibility rules, aiming to simplify benefits access through open-source technology.
