This session from FormFest 2024 features Arizona’s form improvement capacity building initiative and Massachusetts’ form improvements that were a result of the Delivering a Digital-First Public Experience act.
In this presentation, Pia Andrews explores how open source legislation as code can be a public utility to increase transparency, and enable better implementation and testing of government systems.
This case study describes how Nava is working with the General Services Administration, Fearless, and the U.S. Postal Service to design, build, and deliver a new in-person identity verification service to nearly 20,000 USPS locations
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
In 2018 the Better Identity Coalition released a Policy Blueprint outlining five key initiatives that to solve the majority of America’s challenges in the digital identity space. This report from 2024 grades progress on each of the original Blueprint’s five key initiatives – as well as the 19 items that were contained in the “action plan” to support those initiatives.
A catalogue to help teams design trustworthy services that work for people. Categories including informing decisions, signing into services, giving and removing consent, and doing security checks.
Research identified five key obstacles that researchers, activists, and advocates face in efforts to open critical public conversations about AI’s relationship with inequity and advance needed policies.
Code for America partnered with the CBPP, Civilla, and Nava to launch the Integrated Benefits Initiative, testing and piloting human-centered approaches to improve outcomes and learn what an optimal safety net could look like. This article describes key takeaways from short-term pilots implemented as part of this project.
This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
