This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
The article examines the effects of Arkansas’s Medicaid work requirements, finding substantial coverage losses and no significant increase in employment, compounded by widespread confusion among beneficiaries about the policy.
Code for America discusses the importance of a people-centered, digital-first safety net. Tools of technology, policy, and good implementation can advance a bold vision that will allow the nation to push through the end of the COVID-19 crisis.
There were over 25 million Medicaid disenrollments in 2023, but national enrollment remained significantly above pre-pandemic levels at over 56 million, with notable state-level variations and near-recovery of child enrollment.
This report outlines strategies states can adopt to improve access to SNAP, Medicaid, and WIC programs by leveraging policy options, data coordination, and streamlined service delivery.
This report highlights key findings from the Rules as Code Community of Practice, including practitioners' challenges with complex policies, their desire to share knowledge and resources, the need for increased training and support, and a collective interest in developing open standards and a shared code library.
The team explored the performance of various AI chatbots and LLMs in supporting the adoption of Rules as Code for SNAP and Medicaid policies using policy data from Georgia and Oklahoma.
An interview with Wendy De La Rosa, assistant professor at the Wharton School at the University of Pennsylvania. De La Rosa discusses how the concept of “psychological ownership” can encourage people to take up benefits they are eligible for.
This case study highlights a collaborative effort to enhance Nevada’s unemployment insurance (UI) program by simplifying claimant-facing communications and improving user experiences through behavioral science and human-centered design.
National Association of State Workforce Agencies (NASWA)
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
Part of the $1.9 trillion recovery package that Biden signed into law includes a $1 billion grant to the Technology Modernization Fund. The fund’s purpose is to help federal agencies upgrade their cybersecurity and modernize their technology. The TMF is a chance for federal agencies to move toward a responsive model of government, where people quickly and easily access the resources they need.
