A guidance page explaining how government teams should evaluate and use commercial-off-the-shelf (COTS) products and services when building digital public services.
A case study documenting the creation, pilot, impact, and eventual sunset of a government text-messaging service used to improve how agencies communicate with the public.
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.
A practical guide for government teams on how to design, test, and run effective public text message campaigns for benefits and service communications.
A practical, step-by-step guide for government agencies to design, implement, and evaluate community engagement efforts around the use of artificial intelligence.
A practical accessibility framework that provides testable heuristics to help designers and developers evaluate and improve the inclusivity of data visualizations and data-driven interfaces.
A tool for CDOs advocating for funding, authority, and expansion—and a primer for government leaders unfamiliar with the role. The report establishes shared vocabulary, identifies six CDO office archetypes, and offers cross-state insights on structures, priorities, and challenges.
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.
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 paper evaluates the technical vendor landscape as states prepare to implement Medicaid work requirements mandated by the H.R. 1 reconciliation law.
This workshop summary synthesizes key takeaways from a convening of nearly 40 research and data analytics staff from 15 states focused on SNAP Quality Control (QC) data modeling.
This publication offers a starting point into the current research and practice landscape on data interoperability for public benefits administration. It identifies key takeaways for those looking to advance such efforts in their jurisdiction. In particular, it pinpoints what the research reveals about key challenges benefits agencies face, as well as recommendations for addressing those challenges and examples of states and localities that have done so.
