Webinar that shares Nava’s partnership with the Gates Foundation and the Benefits Data Trust that seeks to answer if generative and predictive AI can be used ethically to help reduce administrative burdens for benefits navigators.
In order to create for all, we have to employ processes that authentically engage misrepresented communities. People tend to think of diversity, equity, and inclusion (DEI) efforts in terms of implicit bias workshops, employee resource groups, and hiring processes. These efforts are all important, but it is also necessary to focus on DEI as it relates to the creation of products, services, and content, and use a design-thinking approach to tackle these tricky issues.
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
When people hit the moment in the HealthCare.gov sign-up process where they need in-person help, they’re likely frustrated and at risk of abandoning the process altogether. To help, Ad Hoc designers on the Centers for Medicare & Medicaid Services (CMS) Find Local Help team extensively researched user pain points and used human-centered design to create a tool that respects the stress users may experience and delivers the information they need as quickly and simply as possible.
The team introduced "Policy Pulse," a tool to help policy analysts understand laws and regulations better by comparing current policies with their original goals to identify implementation issues.
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.
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.
This framework is a logical structure for classifying, organizing, and communicating complex activities involved in making decisions about and taking action on enterprise data.
A toolkit that explains how to apply a content-first design approach to public services, helping teams design content strategy and interfaces based on user needs.
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
