Building modular, open-source, human-centered software is necessary to create equitable government services fit for the digital age. Nava emphasizes addressing large scale digital service challenges by building and releasing small, modular software components that are loosely-coupled by well-defined APIs. This enables agencies to quickly and conistently deliver services that help people immediately, whilst also building a flexible foundation for long-term technical evolution.
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.
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.
The Building Human-Centered Benefits Renewal Processes with Client Equity in Mind article by Code for America discusses the implementation of ex parte renewals in Minnesota's Medicaid program to streamline benefit renewals for aged, blind, and disabled populations, reducing administrative burdens and enhancing equity.
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.
Millions in government benefits go unclaimed annually due to complex applications and lack of awareness. Simplifying processes, targeted outreach, and streamlined support can increase accessibility and ensure eligible individuals receive assistance.
This Blueprint is a whole-of-government effort that aims to provide a resource to assist federal decisionmakers in leveraging social and behavioral science to improve policy and program design and delivery.
