The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
This article from Civil Eats explores how expanding online purchasing options for SNAP recipients can improve food security, especially in the wake of the COVID-19 pandemic.
This primer introduces two foundational software types that can support organizations that are committed to accessible benefits information: content management systems (CMS) and application program interfaces (APIs).
This article discusses how Code for America enhanced the CalFresh application process to better assist self-employed individuals in accessing their full benefits by clarifying self-employment definitions and simplifying income verification.
This resource allows policymakers, employers, benefits providers, and researchers assess benefits performance for constituents and identify opportunities in market and policy innovation to ensure equitable benefits distribution.
This visualized report is a first first-of-its-kind view of the state of benefits applications across the nation from a client perspective, including information on application availability online, combined benefit applications, application completion times, as well as login and identity proofing requirements.
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
This report evaluates state government websites for the Supplemental Nutrition Assistance Program (SNAP), providing links to each state's site and assessing the information and services they offer.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
