Dewey Murdick is the Director of Georgetown’s Center for Security and Emerging Technology (CSET). Prior to joining CSET as its founding Director of Data Science, he was the Director of Science Analytics at the Chan Zuckerberg Initiative, where he led metric development, data science, and machine-learning and statistical research for Meta and science-related initiatives. Dewey served as Chief Analytics Officer and Deputy Chief Scientist within the Department of Homeland Security. At IARPA, he led program managers and programs in high-risk, high-payoff research in support of national security missions.

Dewey has also held positions in intelligence analysis, research, software development, and contract teaching. He holds a Ph.D. in Engineering Physics from the University of Virginia and a B.S. in Physics from Andrews University. He is the recipient of the DHS Under Secretary’s Award for Outstanding Collaboration, ODNI’s Exceptional Achievement Award, the Distinguished Analysis Award for Excellence in Intelligence Community Collaboration and Analytic Insight, and the National Ground Intelligence Center Commander’s Civilian of the Year Award.

New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.

Future Indices

October 2020

Foretell is CSET's crowd forecasting pilot project focused on technology and security policy. It connects historical and forecast data on near-term events with the big-picture questions that are most relevant to policymakers. This issue brief uses recent forecast data to illustrate Foretell’s methodology.

Establishing a new open-source National Science and Technology Analysis Center

Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.

The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.

CSET's Director of Data Science, Dewey Murdick, joined Federal Drive with Tom Temin to discuss CORD-19, a collaboration between the White House and research groups coordinated by CSET to aggregate scholarly articles on the coronavirus.