This report analyzes how SNAP households redeemed their benefits in FY 2022, examining transaction frequency, benefit exhaustion timing, store types, online purchasing, and the effects of pandemic-related policy changes.
A critical landscape report examining how the AI industry concentrates corporate power, reshapes public institutions, and advances economic and political interests that undermine democracy, labor, and shared prosperity.
A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
A public summary of findings from an AI trust study showing how Canadians perceive and trust different AI designs on the official government website, particularly preferring custom, transparent AI experiences over general third-party AI tools.
A presentation outlining Colorado’s implementation of mobile driver’s licenses (mDLs), explaining the technology standards, privacy protections, adoption landscape, and verification tools for businesses and agencies.
This field guide provides practical guidance for conducting usability testing on ballots to identify design issues and ensure voters can successfully cast their votes as intended.
This blog summarizes an event exploring how the City of Boston and Washington State are designing and implementing Single Sign-On (SSO) systems to simplify access to government services.
A municipal resource outlining Salt Lake City’s approach to digital accessibility, including standards, policies, and actions to ensure all residents can access online services and information.
This research article explores how framing income eligibility guidelines in either dollar amounts or as a percentage of the Federal Poverty Line (FPL) affects public attitudes toward program access and administrative burdens in Medicaid and SNAP.
This article examines the historic structural changes to the Supplemental Nutrition Assistance Program (SNAP) enacted through H.R. 1 and their potential consequences for public health and food security.
This technical brief uses predictive analytics to identify the primary drivers of SNAP payment error rates (PER) following the implementation of the One Big Beautiful Bill (OBBB).
