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 presentation shares user experience research on the challenges, priorities, and opportunities for improving the journey of Bay Area residents seeking affordable housing.
Guidance for City of Long Beach, CA staff on how to uplift community voices through user research to create services that are accessible to all City residents.
This session from FormFest 2024 focused on improving service delivery by hearing about work in multiple cities to rapidly digitize service delivery and work by the Department of Veteran Affairs around implementing service design principles in form revisions.
This FormFest profile describes how California rapidly simplified disaster-aid processes for wildfire survivors by auditing 22 forms across eight agencies and developing a concept for a universal eligibility form and relief portal.
Applying UX research methods, the City of San Jose worked to improve how low-income and non-English speaking residents engaged with My San Jose, a website and mobile app for residents to report neighborhood issues to cities. They used a Spanish and Vietnamese translator to conduct interviews with target users, then detailed major findings and corresponding recommendations in this report.
This article details California's Disaster Relief Assistance for Immigrants (DRAI) program, which provided $500 in cash aid to undocumented adults affected by the COVID-19 pandemic, highlighting the collaborative efforts between the state, community-based organizations (CBOs), and Code for America to distribute $75 million to 150,000 individuals.
