Innovation in science and engineering contributes significantly to the nation’s economic growth, global competitiveness, and national security. The federal government identifies key areas of research, “Critical and Emerging Technologies (C&ET),” that are of particular importance to the nation. C&ET fields like Artificial Intelligence, Nuclear Energy, Quantum Computing, and Biotechnology are also areas of international competition. In recent years the federal government has taken steps to improve international research security to protect C&ET fields. Because C&ET research tends to be interdisciplinary, fast moving and to take place in many types of organizations – universities, companies, research institutes, national labs - it can be very difficult to identify all the research and researchers working in a particular field. This pilot project uses artificial intelligence (AI) and computational network methods and huge (100+ million) datasets of international patents, publications and grants to test new approaches to identifying critical and emerging technology researchers and research in Quantum Information Science (QIS) as a first step toward developing a validated approach that can be used for any critical and emerging technology to support research and evaluation of research security. This Early Concept Grant for Exploratory Research (EAGER) award approaches the problem of C&ET identification by treating it as a problem of community identification in complex evolving n