The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
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 workshop guide offers teams an opportunity to jointly work toward understanding core problems impacting digital delivery in their organization. The guide is structured in two parts: (1) a Miro template and (2) a Facilitation Guide.
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 blog discusses the importance of phased rollouts for government software products, emphasizing the benefits of starting small, gathering real-world user feedback, and resolving issues before a full public release.
This tip sheet provides guidance for child welfare and social service agencies on how to effectively and respectfully collect SOGIE (Sexual Orientation, Gender Identity, and Expression) data.
U.S. Department of Health and Human Services (HHS)
The report documents how grantees implemented specialized Transitional Living Programs for LGBTQ youth and young adults aging out of foster care, highlighting approaches, challenges, and lessons learned.
This impact report showcases how the city used technology to expand digital equity, modernize services, and responsibly deploy emerging tech to better serve New Yorkers.
New York City Office of Office of Technology and Innovation (OTI)
This roadmap outlines NYC’s strategy to achieve digital equity by expanding broadband access, improving digital literacy, and fostering cross-agency coordination.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
Practitioner Picks is a new quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub. In this edition, our contributors round up resources to help bring housing services into the digital age.
