This mainstage session from FormFest 2024 included conversations about form design, accessibility, user experience, and data collection to show how good forms can build trust and confidence in government.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
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.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
This workshop guide offers teams an opportunity to jointly work toward understanding core problems impacting digital delivery in their organization. The guide is structured in two parts: (1) a Miro template and (2) a Facilitation Guide.
This guide addresses technical and engineering requirements for a text messaging program, including texting platform options, and procurement and vendor management, among other technical implementation topics.
Across the United States, a number of state and local governments are embarking on digital transformation efforts. This case study is part of the Beeck Center’s Digital Service Teams project, which is learning how leading government digital service units are introducing new approaches to service delivery. Beeck Center researchers are documenting work as it happens, including analyzing challenges and opportunities, and disseminating this information to benefit both the people of New York City and collaborators in other governments.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
