Few large government software projects are successful, as current ecosystems in place at agencies do not support agile development practices. This guide provides instructions to federal agencies on how to effectively budget for, procure, and oversee software development projects.
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This is a government catalog of reusable digital service components, templates, and patterns designed to help public sector teams build services more efficiently and consistently.
This toolkit provides individuals and organizations with guidance, drawn from learning and experience, on how to use administrative and other data to inform program improvements. It collects concrete strategies and practitioner-tested tools designed to advance these efforts. These materials were developed in pilot projects with local Temporary Assistance for Needy Families (TANF) agencies as part of the TANF Data Collaborative (TDC).
This guide touches on everything from Code for America’s core research philosophy, to our approach to ethics and trauma-informed research, to specific research methods. It also includes plenty of practical tips on planning and executing research, as well as how to synthesize your findings into action.
A playbook by AdHoc for agencies ready to replace enterprise software patterns with proven techniques from the world of commercial software. These plays can better equip teams with the practices that create resilient, flexible, and customer-friendly digital services.
This toolkit provides guidance and resources for state agencies to effectively implement the USDA’s Summer Electronic Benefit Transfer (EBT) program, which helps low-income families buy food during the summer months when school meals are unavailable.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
