A policy guidance document outlining practical steps states can take to reduce harm to immigrant communities following major Medicaid eligibility restrictions enacted under federal budget reconciliation legislation.
An interactive chatbot that helps SNAP participants and the public ask questions and receive guidance about SNAP work and community engagement requirements in conversational form.
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
Louisiana issued an RFI to identify solutions that can provide a technology platform for determining eligibility and managing cases across multiple human services programs.
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
This report analyzes the critical role of SNAP’s "broad-based categorical eligibility" (BBCE) policy and the widespread consequences of its potential elimination by the Trump Administration.
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 report details the use of the historic investment of $1 billion in funding from the American Rescue Plan Act (ARPA) to the Department of Labor and state unemployment (UI) agencies to modernize state UI programs.
This report celebrates 50 years of improving maternal and child health in the U.S. through WIC and offers advancements, challenges, and solutions for the future.
This article analyses ‘digital distortions’ in Rules as Code, which refer to disconnects between regulation and code that arise from interpretive choices in the encoding process.
