Defining a product in government digital services is crucial, as it serves as the means through which a service is delivered to the public, and understanding its attributes ensures effective and continuous improvement.
This case study highlights Michigan’s integrated, data-driven approach to reducing food insecurity through cross-agency collaboration, referral tracking, and targeted outreach.
American Public Human Services Association (APHSA)
Code for America partnered with the CBPP, Civilla, and Nava to launch the Integrated Benefits Initiative, testing and piloting human-centered approaches to improve outcomes and learn what an optimal safety net could look like. This article describes key takeaways from short-term pilots implemented as part of this project.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).
Governor Kathy Hochul announced a new client feedback initiative in partnership with Code for America to improve New York's WIC program by implementing live online chat to gather input from participants, streamline enrollment, and increase access to healthy food for eligible families.
This publication seeks to answer one of the most common questions that CIOs ask: “What are other states doing with generative AI and what is the role of the state CIO?”
National Association of State Chief Information Officers (NASCIO)
This handbook provides local governments with practical guidelines, best practices, and ethical considerations for adopting and using AI tools, emphasizing transparency, human oversight, and risk management.
