This milestone table outlines a detailed roadmap for states to implement mandatory Medicaid work reporting requirements under H.R. 1 by January 1, 2027.
This report provides detailed guidance for states on how to verify compliance with and exemptions from Medicaid work reporting requirements established under H.R. 1.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
This research explores how software engineers are able to work with generative machine learning models. The results explore the benefits of generative code models and the challenges software engineers face when working with their outputs. The authors also argue for the need for intelligent user interfaces that help software engineers effectively work with generative code models.
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.
This session from FormFest 2024 walked attendees through some of the major changes AI is bringing to form design. Learn about the National Head Start Association’s use of AI to reduce administrative burden and the Canadian Digital Service’s tips for protecting government applications systems from AI.
This policy report offers recommendations for improving digital identity practices in the United States, emphasizing the role of government in creating secure, accessible digital identity resources.
This article describes the General Services Administration’s efforts to get a limited number of state and local governments to try login.gov with their federally funded programs.
This field guide is for digital services and technology leaders working at the federal, state, or local government level. It describes a way of applying research approaches to strategic decision making across digital services.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
