The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
The Digital Services Network (DSN) spoke with Connecticut’s digital program manager, Max Gigle, and Director of Digital Government and Operational Excellence David Labbadia, to learn more about the team’s human-centered approach to developing Business.CT.gov as the first step on the path toward an “all-digital government.”
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 paper hopes to stimulate discussions towards an ethical protocol for better practice in BI experiments and provide a useful resource to those working on, or interested in, BI research.
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
