This resource page provides comprehensive information on the state's initiatives, policies, training, and governance related to the adoption and implementation of generative AI technologies in government operations.
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.
This user guide provides step-by-step instructions for families in Iowa to find licensed child care providers online based on location, schedule, and program preferences.
This one-pager introduces Iowa’s Child Care Search tool, a family-friendly application that helps users find real-time child care vacancies based on their commute, preferences, and provider offerings.
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 one-pager introduces Iowa 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 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.
The playbook is a comprehensive guide developed by the Maryland Department of Information Technology to assist state agencies in creating consistent, user-centered, and accessible digital services.
This action plan outlines Oregon’s strategic approach to adopting AI in state government, emphasizing ethical use, privacy, transparency, and workforce readiness.
This annual report details the state’s strategic use of technology to enhance digital services, cybersecurity, equity, and efficiency across government, improving access and outcomes for all Minnesotans.
