Thu, Moe Kyaw;
Beppu, Shotaro;
Yarime, Masaru;
Shibayama, Sotaro;
(2022)
Role of machine and organizational structure in science.
PLOS ONE
, 17
(8)
, Article e0272280. 10.1371/journal.pone.0272280.
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Abstract
The progress of science increasingly relies on machine learning (ML) and machines work alongside humans in various domains of science. This study investigates the team structure of ML-related projects and analyzes the contribution of ML to scientific knowledge production under different team structure, drawing on bibliometric analyses of 25,000 scientific publications in various disciplines. Our regression analyses suggest that (1) interdisciplinary collaboration between domain scientists and computer scientists as well as the engagement of interdisciplinary individuals who have expertise in both domain and computer sciences are common in ML-related projects; (2) the engagement of interdisciplinary individuals seem more important in achieving high impact and novel discoveries, especially when a project employs computational and domain approaches interdependently; and (3) the contribution of ML and its implication to team structure depend on the depth of ML.
| Type: | Article |
|---|---|
| Title: | Role of machine and organizational structure in science |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1371/journal.pone.0272280 |
| Publisher version: | https://doi.org/10.1371/journal.pone.0272280 |
| Language: | English |
| Additional information: | Copyright © 2022 Thu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | Scientists, Computer and information sciences, Bibliometrics, Computational techniques, Computer modeling, Machine learning, Materials chemistry, Materials science |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10212555 |
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