The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
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 toolkit is designed to support government agencies in evaluating the effectiveness of their public participation and community engagement (PPCE) activities.
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 Building Resilience plan outlines strategies to improve reemployment outcomes for unemployment insurance (UI) claimants by expanding access to services, updating work search requirements, and increasing use of Short-Time Compensation programs.
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.
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
This review evaluates the UK public sector's use of digital technology, identifying successes and systemic challenges, and proposes reforms to enhance service delivery.
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
This internal glossary defines key terms and concepts related to automating enrollment proofs for public benefits programs to support shared understanding among product and policy teams.
