Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).

Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).

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 validate...

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Main Authors: Katy Börner, Olga Scrivner, Leonard E Cross, Michael Gallant, Shutian Ma, Adam S Martin, Lisel Record, Haici Yang, Jonathan M Dilger
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0242984
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spelling doaj-a6ee9480299346d3bc985fdcc035c7612021-03-04T12:48:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024298410.1371/journal.pone.0242984Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).Katy BörnerOlga ScrivnerLeonard E CrossMichael GallantShutian MaAdam S MartinLisel RecordHaici YangJonathan M DilgerUnderstanding 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.https://doi.org/10.1371/journal.pone.0242984
collection DOAJ
language English
format Article
sources DOAJ
author Katy Börner
Olga Scrivner
Leonard E Cross
Michael Gallant
Shutian Ma
Adam S Martin
Lisel Record
Haici Yang
Jonathan M Dilger
spellingShingle Katy Börner
Olga Scrivner
Leonard E Cross
Michael Gallant
Shutian Ma
Adam S Martin
Lisel Record
Haici Yang
Jonathan M Dilger
Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
PLoS ONE
author_facet Katy Börner
Olga Scrivner
Leonard E Cross
Michael Gallant
Shutian Ma
Adam S Martin
Lisel Record
Haici Yang
Jonathan M Dilger
author_sort Katy Börner
title Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
title_short Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
title_full Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
title_fullStr Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
title_full_unstemmed Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
title_sort mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0242984
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