Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)
Abstract
Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and others. This paper presents new funding, publication, and scholarly network metrics and visualizations that were validated via expert surveys. The metrics and visualizations exemplify the emergence and convergence of three areas of strategic interest: artificial intelligence (AI), robotics, and internet of things (IoT) over the last 20 years (1998-2017). For 32,716 publications and 4,497 NSF awards, we identify their topical coverage (using the UCSD map of science), evolving co-author networks, and increasing convergence. The results support data-driven decision making when setting proper research and development (R&D) priorities; developing future S&T investment strategies; or performing effective research program assessment.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 02, 2020
- Source ID
- 10.1371/journal.pone.0242984
Entities
People
- Adam S Martin
- Haici Yang
- Jonathan M. Dilger
- Katy Börner
- Leonard E. Cross
- Lisel Record
- Michael Gallant
- Olga Scrivner
- Shutian Ma
Organizations
- National Institutes of Health
- National Science Foundation
- Naval Surface Warfare Center