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 course gives participants a substantive overview of the human-centered design framework and offers opportunities to practice applying concepts from the course to your work.
Michigan's UIA director, Julia Dale, is leading the agency through transition by prioritizing lived experience, hope, grit, and values. Virginia's SNAP Program Manager, Michele Thomas, highlighted the success of Sun Bucks, a summer EBT child nutrition program that fed over 700,000 kids in its first year.
This article shares insights from Minnesota-based focus groups, revealing that low-income women navigating unemployment insurance often face confusion and uncertainty around eligibility, complex administrative processes, and additional challenges related to childcare, housing stability, and mistrust of benefit systems.
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
User research requires working as a team, since it necessitates running sessions with participants, observing and moderating research sessions, analyzing and synthesizing results, as well as communicating results effectively.
This report examines the extent to which proposed options included in the Student Food Security Act, Let Students Eat proposal, and the EATS Act impact specific demographics of students, either by increasing access or by streamlining the process for qualifying students to demonstrate eligibility.
This report celebrates 50 years of improving maternal and child health in the U.S. through WIC and offers advancements, challenges, and solutions for the future.
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.
