cover image: An Open-Source Method for Assessing National Scientific and Technological Standing: With Applications to Artificial Intelligence and Machine Learning

20.500.12592/z54nx0

An Open-Source Method for Assessing National Scientific and Technological Standing: With Applications to Artificial Intelligence and Machine Learning

28 Oct 2021

The author of this report develops a quick-turn and open-source methodology that entails the calculation of four metrics: high-impact publications, collaborative network density, quality-adjusted patents, and organizational capacity for an analyst-defined science and technology area. After presenting the methodology, the author applies it to the field of artificial intelligence and machine learning for nine countries.
machine learning bibliometrics emerging technologies

Authors

Schmid, Jon

Division
RAND National Security Research Division Cyber and Intelligence Policy Center
Pages
20
Published in
United States
RAND Identifier
RR-A1482-3
RAND Type
report
Rights
RAND Corporation
Series
Research Reports
Source
https://www.rand.org/pubs/research_reports/RRA1482-3.html

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