This page includes data and observations about account creation and identity proofing steps specifically for online applications that include MAGI Medicaid.
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 brief provides research recommendations to improve programs serving LGBT youth, focusing on homelessness and sexual health education services funded by the U.S. Department of Health and Human Services.
U.S. Department of Health and Human Services (HHS)
This brief outlines research recommendations to better understand and improve income support and employment services for low-income and at-risk LGBT populations.
U.S. Department of Health and Human Services (HHS)
This brief outlines research recommendations to strengthen child welfare services for LGBT youth and adults, focusing on experiences of maltreatment, foster care, and adoption.
U.S. Department of Health and Human Services (HHS)
This report provides an overview of the task force’s work in assessing, guiding, and recommending policies for the safe, ethical, and effective use of generative AI across Alabama’s executive-branch agencies.
State of Alabama Generative Artificial Intelligence (GenAI) Task Force
A comprehensive survey-based analysis of Boston residents’ access to internet, devices, and digital skills, with a focus on equity across priority populations including low-income households, seniors, immigrants, and formerly incarcerated individuals.
This report catalogs the policy choices, demonstration projects, and waivers each state uses to administer SNAP, highlighting how states adapt federal rules to local needs.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
This research paper explores how government design systems function as the “translation layer” of digital public infrastructure, transforming technical systems into accessible, trustworthy citizen experiences.
