The OECD report explores the concept of "Rules as Code" (RaC), proposing a transformation in government rulemaking by developing machine-consumable regulations alongside human-readable versions.
Organisation for Economic Co-operation and Development (OECD)
Coordinating SNAP & Nutrition Supports (CSNS) is a cohort program developed by the American Public Human Services Association (APHSA) and No Kid Hungry, a national campaign run by Share Our Strength.
American Public Human Services Association (APHSA)
This award documentation from the National Association of State Chief Information Officers (NASCIO) explains how agencies in Ohio used automation to support administration of public benefits programs.
National Association of State Chief Information Officers (NASCIO)
This report highlights best practices and lessons learned from Kansas' partnership with Delivering Change to improve SNAP and WIC access in seven counties through innovative data sharing and targeted outreach.
American Public Human Services Association (APHSA)
A study shows that Benefits Data Trust’s outreach and application assistance significantly increased SNAP enrollment among North Carolina seniors, improving health outcomes and reducing Medicaid costs.
The Unemployment Insurance Equitable Access Toolkit contains common equity recommendations, promising practices, and insights, represented visually as a different floor of an agency office building, compiled in one interactive document.
Article describing the “time tax,” the costs to people applying or benefits in terms of spending substantial amounts of time navigating user-unfriendly interfaces. The article describes the necessity of simplifying safety-net programs and cross-coordinating across various social service programs.
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
This report outlines key lessons and recommendations from Code for America's collaboration with the Voluntary Income Tax Assistance program, which served over 800,000 clients via GetYourRefund.org.
Differing federal requirements for public benefit applications create significant barriers for applicants and complicate state efforts to integrate services.
This presentation from Steph White, Cross Enrollment Coordinator at the Michigan Department of Health and Human Services offers an in-depth example on implementing cross enrollment with WIC and general tools for cross enrollment.
