This one-pager introduces Iowa’s Child Care Data Dashboards, which provide near real-time insights into child care supply, demand, and vacancies to support data-informed planning across the state.
This video demonstrates how to use Iowa's Child Care Connect (C3), a centralized data system that integrates near-real-time child care data to support families, providers, policymakers, and economic development efforts across the state.
This report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This internal glossary defines key terms and concepts related to automating enrollment proofs for public benefits programs to support shared understanding among product and policy teams.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This blog post shares five key service design lessons from U.K. experts Lou Downe and Sarah Drummond, offering practical guidance for building more connected, user-centered government services in British Columbia.
The AI RMF Playbook offers organizations detailed, voluntary guidance for implementing the NIST AI Risk Management Framework to map, measure, manage, and govern AI risks effectively.
National Institute of Standards and Technology (NIST)
This news release highlights Pennsylvania’s first-in-the-nation Generative AI pilot under Governor Shapiro, showcasing its positive impact on state employees and commitment to responsible, ethical AI use.
This executive order establishes governance, values, and oversight structures for the ethical and responsible use of generative AI technologies within the Commonwealth of Pennsylvania.
