In this interview, Code for America staff members share how client success, data science, and qualitative research teams work together to consider the responsible deployment of artificial intelligence (AI) in responding to clients who seek assistance with three products.
In a time of crisis, behavioral science offers insights into how to reduce the paperwork and other administrative burdens that prevent people from taking advantage of crucial support services.
This guide is intended to provide a general overview of the national statutory and regulatory landscape governing the legality of sending large volumes of text messages and sharing client information.
At Rules as Code Demo Day Executive Director Zareena Mayn and Chief Technology Officer Dize Hacioglu of mRelief demoed the code for their Supplemental Nutrition Assistance Program (SNAP) eligibility screener. mRelief is a women-led team that provides a web-based and text message-based SNAP eligibility screener to all 53 states and territories that participate in SNAP. They demonstrated how they have modularized their code to host federal program rules and state-specific rules.
Well-designed, user-focused tools that allow for simple application are key to ensuring that families most in need receive the Child Tax Credit. Reaching these households will require a robust effort from the IRS to create user-friendly tools in partnership with organizations with a direct connection to eligible recipients.
The Advancing Economic Mobility for Low-Income Families report, published by the National Governors Association (NGA) Center for Best Practices, provides policy options for governors to strengthen economic security, workforce participation, and wealth-building opportunities for low-income families.
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 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.
Code for America’s Integrated Benefits Initiative has been working in partnership with the State of Colorado to demonstrate how user-centered approaches lead to measurably better delivery of safety net programs. This article describes their work with the state of Colorado in simplifying how clients report common life changes that can affect their eligibility.
