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.
This paper explores how legacy procurement processes in U.S. cities shape the acquisition and governance of AI tools, based on interviews with local government employees.
This resource contains specific examples that highlight the advantages of designing reusable code components, software tools, or design formats. This guide also illustrates the possibilities for connecting new components to existing system infrastructure.
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 bill provides support for the establishment of digital services in state, county, local, and tribal governments. Specifically, the bill directs the General Services Administration (GSA) to establish (1) a Digital Service Grant Program to provide grants to such governments to establish or support a digital service team, and (2) a Digital Service Planning Grant Program to provide grants to create a plan to establish a digital service team. The GSA must (1) report periodically to Congress and make publicly available on its website information regarding the grants, and (2) issue guidance to streamline the procurement of federal services and technology by states, local governments, and Indian tribes.
As a next step in Iowa's modernization effort, the MEME project released a video describing Iowa's proposed approach and next steps for the purpose of engaging with vendors. The video linked here provides additional information on the project's learnings so far.
This article examines how Chile’s SUSESO is balancing cost-focused procurement criteria with ethical AI concerns in its medical claims automation process.
