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.
This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
This workshop summary provides practical guidance for web developers and designers on implementing accessible web design practices, emphasizing the importance of inclusivity and usability for all users.
This roadmap outlines NYC’s strategy to achieve digital equity by expanding broadband access, improving digital literacy, and fostering cross-agency coordination.
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 blog explains how to provide culturally and linguistically appropriate services to individuals who have experienced trafficking, emphasizing the importance of cultural competence and the CLAS Standards.
U.S. Department of Health and Human Services (HHS)
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
