mRelief is a nonprofit that helps individuals in all 53 U.S. states and territories determine SNAP eligibility and apply using easy-to-use web and text tools. Their simplified, inclusive approach has supported over 2.7 million people and unlocked over $1 billion in benefits, focusing on minimizing barriers and adapting eligibility rules across states.
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.
The Technology Transformation Service at GSA recently created a new Public Benefits Studio to focus on fostering a more cohesive, coordinated experience for the public, across programs.
Data provided by the NYC Mayor’s Office for Economic Opportunity regarding benefit, program, and resource information for over 80 health and human services available to NYC residents in all eleven local law languages.
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.
During the COVID-19 pandemic, states utilized temporary Supplemental Nutrition Assistance Program (SNAP) flexibilities to provide emergency benefits and maintain support for households with children missing school meals.
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)
EBT theft has deeply damaged the lives of the lowest-income Americans. The following insights reveal a system that leaves people in the dark and fails to protect a crucial lifeline.
We kicked off Rules as Code Demo Day with Alex Soble of 18F and Mike Gintz of 10x presenting their Eligibility APIs Initiative that explores whether APIs and rules as code might improve the efficiency and effectiveness with which federal public benefits programs communicate their policy to states. They demonstrated their original prototype, and how the open source code has now been extended into several initiatives.
This report explores how state and local agencies can enhance customer service in health and human services by implementing technologies such as web-based tools, mobile applications, and call center innovations, aiming to streamline processes and improve client interactions.
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.
