Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
This webinar provides insight on behavioral science concepts and how states can put such ideas into practice to tailor engagement, messaging, and independence planning, as well as promote participation in SNAP E&T programs.
This report outlines the guiding principles, policy priorities, and tools for the National Collaborative for Integration of Health and Human Services, aimed at improving health and well-being outcomes through the integration of health care and human services programs.
American Public Human Services Association (APHSA)
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
Californians who receive food assistance come from all backgrounds, but many share a similar story: they were barely getting by financially when they were tipped into crisis by an unexpected expense or loss of income. This site shares their stories.
This report 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 report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
