This policy memorandum from the Food and Nutrition Service (FNS) provides guidance on data sharing activities that support targeted outreach and streamlined certification processes aimed at increasing the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation and retention.
This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
A four-part U.S. Digital Service blog series detailing how the federal “Birth of a Child and Early Childhood” Life Experience team used human-centered design to improve benefit access, peer support, and maternal mental health services for families with children ages 0–5.
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.
This report examines how state governments organize and manage human services programs, analyzing various agency structures and their impact on service delivery and coordination with the health care sector.
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
Center for Security and Emerging Technology (CSET)
Join host Gen Lambert as she welcomes Annie Goodwin and Amy Kirtay to the table for this special edition #DigitalBC Livestream, "Walking the Walk: Lessons learned from developing policy in the open."
An article examining how automation and AI are being used in welfare systems, arguing that digital benefits administration often reproduces longstanding patterns of surveillance, exclusion, and inequality.
