This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
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 page includes data and observations about authentication and identity proofing steps specifically for online applications that include MAGI Medicaid.
In this panel conversation from the Better Identity Coalition’s 2022 policy forum, “Identity, Authentication, and the Road Ahead," representatives from industry and government discuss priorities for authentication and identity management.
This article emphasizes the need for local leaders to prioritize disability equity in advancing upward mobility, addressing systemic barriers that hinder disabled individuals' escape from poverty.
This video documents the Digital Benefits Network's Digital Identity Community of Practice launch, covering mission review, 2025 goals, California authentication innovations, and peer networking for equitable and effective digital identity in public benefits.
This blog summarizes a FormFest session where the Center for Civic Design shared research on how screen reader users navigate voter registration forms and offered guidance for designing more accessible digital and PDF forms.
Led by the Digital Benefits Network in partnership with Public Policy Lab, the Digital Doorways research project amplifies the lived experiences of beneficiaries to provide new insights into people’s experiences with digital identity processes and technology in public benefits. This report details the project’s findings, directly highlighting the voices of beneficiaries through videos and photos.
This article explores how AI and Rules as Code are turning law into automated systems, including how governance focused on transparency, explainability, and risk management can ensure these digital legal frameworks stay reliable and fair.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
