A case study on how North Carolina leveraged human-centered design, interagency collaboration, and data-sharing strategies to improve cross-enrollment in SNAP, WIC, and Medicaid, aiming to reduce administrative burden and better serve families.
American Public Human Services Association (APHSA)
This cheat sheet helps job seekers translate private-sector technology roles and skills into equivalent U.S. government job classifications and titles.
This publication from the Digital Service Network (DSN) explores how state and local leaders are tackling the challenge of finding, keeping, and growing digital service talent in government. Through real-world stories and actionable strategies, it highlights how teams are making the case for digital roles, improving hiring practices, and upskilling staff to build a strong, sustainable digital workforce.
This 2015 project presentation outlines the vision, research, and product requirements for DAHLIA, San Francisco’s online platform to centralize and simplify affordable housing searches and applications.
San Francisco Mayor's Office of Housing and Community Development
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
A toolkit that outlines seven practical steps for government agencies to build or strengthen a communications program aligned with audience needs and organizational goals.
This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
This report explores how state and local agencies can enhance customer service in health and human services by implementing technologies such as web-based tools, mobile applications, and call center innovations, aiming to streamline processes and improve client interactions.
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
