This example examines Miami-Dade County's initiative to streamline digital applications for LIHEAP, aiming to improve accessibility and efficiency for residents seeking energy assistance.
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.
Executive Order 14058, issued by President Joe Biden on December 13, 2021, aims to enhance the federal customer experience and service delivery to rebuild trust in government.
In this updated primer, the DBN introduces the concept of digital identity, and provides brief snapshots of digital identity-related developments internationally and in the U.S.
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.
In this summary, the authors use WBNS data to provide updated estimates of chilling effects in 2023 among immigrant families (i.e., in which the respondent or a family member living with them was not born in the US).
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.
A pre-launch survey brief that documents the financial, emotional, and physical well-being of a local child care workforce before the start of a wage boost pilot.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
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 toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
