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 report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
This publication explains the fundamentals of state IEE systems—including the technology, opportunities, risks, and stakeholders involved. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
A visual journey map that outlines the end-to-end steps, roles, and decisions involved in procuring cloud migration support services for modernizing a legacy system.
This research paper explores how government design systems function as the “translation layer” of digital public infrastructure, transforming technical systems into accessible, trustworthy citizen experiences.
This field guide is written for digital services and technology leaders working in government agencies at the federal, state, or local level. It’s meant to highlight the power of product thinking to government digital services. With this guide, agencies can start moving from a project management mindset to a product-based approach to delivering services.
Through our research understanding the government digital service field and what workers in this field need, we want to help strengthen those existing roles and establish more pathways for promotion and career support, as well as help other teams recognize the value of these skills and create new roles.
Executive Order 14058, issued by President Joe Biden on December 13, 2021, aims to enhance the federal customer experience and service delivery to rebuild trust in government.
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.
