There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
This MOA outlines Hawai'i's legal data sharing agreement between the Women, Infants and Children Services Branch of the Department of Health (DOH/WIC), and the Benefit, Employment and Support Services Division of the Department of Human Services (DHS/BESSD) to exchange SNAP and WIC data.
Executive Order 14058, issued by President Joe Biden on December 13, 2021, aims to enhance the federal customer experience and service delivery to rebuild trust in government.
This field guide is for digital services and technology leaders working at the federal, state, or local government level. It describes a way of applying research approaches to strategic decision making across digital services.
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
This primer introduces two foundational software types that can support organizations that are committed to accessible benefits information: content management systems (CMS) and application program interfaces (APIs).
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.
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.
