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 framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
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 blog post describes the launch of NJ.gov/disabilities, an accessible, co-created online hub that centralizes information and services for individuals with disabilities.
CalAcademy is California’s public sector innovation training program, equipping state employees with modern skills like human-centered design, data analytics, and a product mindset to enhance government services.
The Service and Digital Toolkit is a bilingual, practical resource developed by the Canadian Digital Service to help government teams design and deliver user-centered, accessible, and agile digital services aligned with federal policies and standards.
This session from FormFest 2024 focused on improving service delivery by hearing about work in multiple cities to rapidly digitize service delivery and work by the Department of Veteran Affairs around implementing service design principles in form revisions.
The Digital Service Network (DSN) spoke with three staff members from the New York State Executive Chamber—Gabe Paley, Tonya Webster, and, Luke Charde to learn more about the state's efforts to improve residents’ experiences accessing government programs.
This assessment aims to help states gain a comprehensive understanding of their successes and shortcomings in their data strategies and enhance their strategic and tactical plans.
Takeaways from a workshop focusing on applying human-centered design to government artificial intelligence (AI) projects, led by Elham Ali, Researcher from the Beeck Center for Social Impact and Innovation.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
