Based on user interviews with families across the United States who navigated the Medicaid renewal process, this report offers insights and recommendations for improving the experience of renewing Medicaid and other benefits.
This Urban Institute report highlights how immigrant and mixed-status families continued to avoid safety net programs in 2023 due to lingering fears around the public charge rule.
This publication describes the research process and protocol used in the Digital Benefits Networks research project, "Digital Account Creation and Identity Proofing in Public Benefits Applications."
This report outlines the U.S. Department of Labor’s comprehensive action plan to strengthen the unemployment insurance (UI) system by addressing chronic underfunding and proposing legislative reforms to support long-term modernization and resilience.
This section of the Department of Labor’s Building Resilience plan focuses on improving customer experience across unemployment insurance (UI) systems by promoting timely, accessible, and equitable service delivery for all claimants.
This publication shares ten ways states can improve start-to-finish customer experience for unemployment insurance claimants. These approaches can increase overall equitable access and system integrity for UI administration.
This resource offers practical strategies for early childhood programs to create inclusive, affirming environments for LGBTQIA2S+ families and their children.
U.S. Department of Health and Human Services (HHS)
This toolkit provides guidance to help states implement Medicaid Advisory Committees (MACs) and Beneficiary Advisory Councils (BACs) in accordance with new federal requirements designed to strengthen beneficiary input in Medicaid program oversight.
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 policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
