This course is designed to help public professionals accelerate the process of finding and implementing urgently-needed evidence-based solutions to public problems.
This report details the development and deployment of My File, an open-source digital document management tool designed to help individuals securely store and share documents needed to access public services.
This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
This interview template includes questions designed to help teams conduct exploratory, semi-structured interviews with government stakeholders involved in program delivery to gather information that can help them evaluate the status quo of digital delivery in their organization.
Through the ACCESS project, key collaborators have shared insights into current and future opportunities for alignment within their agencies, including potential enablers for and barriers to alignment activities.
American Public Human Services Association (APHSA)
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 highlights 5 key takeaways from the Aspen Institute Financial Security Program's 2022 Benefits Forum, where 55 experts from various sectors discussed solutions for improving public and private benefits to better support workers and their families.
A set of contract-ready principles and requirements that define how vendors must deliver user-centered, accessible, and data-informed digital services.
A plain-language overview explaining how federal law regulates automated calls and text messages to the public, including when consent is required and who is exempt.
This page provides a U.S. Web Design System pattern for collecting race and ethnicity information in user profiles in a way that respects identity, supports data standards, and promotes inclusion.
