This report examines Pennsylvania’s recent success in responding to concerns from citizens that it took too long for a business, nonprofit or individual to receive a permit, license or certificate they had applied for.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
These Figma artifacts illustrate the end-to-end design of Boston’s digital mattress recycling service, including resident scheduling flows, mobile interfaces, alerts, and design system components.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
A practical, research-based handbook from The Lab @ DC that teaches public servants how to redesign confusing government forms through user-centered, evidence-based design methods.
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.
This publication from the Digital Service Network (DSN) explores how state and local leaders are tackling the challenge of finding, keeping, and growing digital service talent in government. Through real-world stories and actionable strategies, it highlights how teams are making the case for digital roles, improving hiring practices, and upskilling staff to build a strong, sustainable digital workforce.
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.
Teams crafting policy inside and outside government can use the assessment to center their policy-making activities around those most impacted by their proposed programs and policy ideas.
