Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
Digital IDs can improve convenience, but they risk surveillance, data misuse, and exclusion if not designed with privacy, security, and accessibility safeguards.
The Maryland Information Technology Master Plan 2025 lays out the state’s strategy to modernize IT, expand digital services, and strengthen infrastructure to better serve residents and government agencies.
This report warns that federal data collection is being undermined by budget cuts, political interference, and leadership changes that threaten the reliability of core economic and social statistics.
A comprehensive template for establishing legally compliant data-sharing agreements between government agencies, defining authorized purposes, privacy protections, security requirements, and governance responsibilities.
This publication explains the fundamentals of state IEE systems—including the technology, opportunities, risks, and stakeholders involved. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
A nationwide survey capturing how state chief data officers are structured, resourced, and operating, and how the role is evolving to support data-driven government.
National Association of State Chief Information Officers (NASCIO)
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
A free online tool that helps renters identify housing code violations and property conditions before signing a lease by allowing users to search rental properties and view inspection history.
This portfolio page describes how the GSA’s 10x team invested in making federal data easier to find, use, and share—while preventing misuse and harm.
