Center for Data Innovation
The leading think tank studying the intersection of data, technology, and public policy.
To formulate and promote pragmatic public policies designed to maximize the benefits of data-driven innovation in the public and private sectors. Educates policymakers and the public about opportunities and challenges associated with data, AI, and the Internet of Things.
AI areas they serve
Areas of Focus
Data policy
Artificial intelligence policy
Open data
Internet of Things
Cloud computing
Digital trade
Health IT
Smart cities
Government data
Cross-border data flows
Upcoming Goals
Continue advancing pragmatic AI policy at US, EU, and international levels
Host events on AI governance and data-driven innovation
Research impact of emerging technologies on economy and society
Advocate for balanced AI regulation that supports innovation
Part of the nonprofit, nonpartisan Information Technology and Innovation Foundation (ITIF)
Director Daniel Castro named to FedScoop's "Top 25 most influential people under 40 in government and tech”
Hosts annual Data Innovation Day
Launched the AI Policy Network
Expanded operations to London and Brussels for transatlantic policy work