Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for New York's online application for Unemployment Insurance.
An overview video describing the Digital Identity Risk Management process outlined in NIST's Digital Identity Guidelines, which organizations can use to develop a risk-based approach to identity management.
The California Employment Development Department (CA EDD) launched the EDDNext initiative to modernize benefit delivery, focusing on user-centric procurement for a new identity verification system.
Recapping the work and achievements of the Digital Benefits Network (DBN), Digital Service Network (DSN), and the State Chief Data Officers Network (CDO) in 2025.
This report offers best practices for public agencies implementing digital identity verification, emphasizing privacy, equity, and security in the delivery of government services.
This book explores the current capabilities, future possibilities, and necessary governance for facial recognition technology. The report discusses legal, societal, and ethical implications of the technology, and recommends ways that federal agencies and others developing and deploying the technology can mitigate potential harms and enact more comprehensive safeguards.
National Academies of Sciences, Engineering, and Medicine
This analysis explores the dual nature of mobile state IDs, highlighting their potential to enhance digital identity verification while raising significant privacy and equity concerns.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
Biometric identification technologies—such as facial recognition and fingerprinting—can affect underserved communities, including low-income and minority communities. GAO interviewed academics, advocacy groups, and technology experts to find out how.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
