This cheat sheet helps job seekers translate private-sector technology roles and skills into equivalent U.S. government job classifications and titles.
This toolkit provides practical guidance for agencies, researchers, and community partners to embed racial equity throughout every stage of data integration and use.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
This workshop summary provides practical guidance for web developers and designers on implementing accessible web design practices, emphasizing the importance of inclusivity and usability for all users.
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
In this panel conversation, presenters at the Better Identity Coalition’s 2022 policy forum “Identity, Authentication, and the Road Ahead” discuss the challenges of identity verification and access in pandemic unemployment benefits.
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.
This session from FormFest 2024 walked attendees through some of the major changes AI is bringing to form design. Learn about the National Head Start Association’s use of AI to reduce administrative burden and the Canadian Digital Service’s tips for protecting government applications systems from AI.
This article details the collaboration between Miami-Dade County, community partners, and technologists to enhance climate resilience by allowing residents to report and access information on extreme heat conditions affecting their commutes.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This one-pager introduces Iowa’s Child Care Data Dashboards, which provide near real-time insights into child care supply, demand, and vacancies to support data-informed planning across the state.