Literature DB >> 30760923

Large teams develop and small teams disrupt science and technology.

Lingfei Wu1,2, Dashun Wang3,4,5, James A Evans6,7,8.   

Abstract

One of the most universal trends in science and technology today is the growth of large teams in all areas, as solitary researchers and small teams diminish in prevalence1-3. Increases in team size have been attributed to the specialization of scientific activities3, improvements in communication technology4,5, or the complexity of modern problems that require interdisciplinary solutions6-8. This shift in team size raises the question of whether and how the character of the science and technology produced by large teams differs from that of small teams. Here we analyse more than 65 million papers, patents and software products that span the period 1954-2014, and demonstrate that across this period smaller teams have tended to disrupt science and technology with new ideas and opportunities, whereas larger teams have tended to develop existing ones. Work from larger teams builds on more-recent and popular developments, and attention to their work comes immediately. By contrast, contributions by smaller teams search more deeply into the past, are viewed as disruptive to science and technology and succeed further into the future-if at all. Observed differences between small and large teams are magnified for higher-impact work, with small teams known for disruptive work and large teams for developing work. Differences in topic and research design account for a small part of the relationship between team size and disruption; most of the effect occurs at the level of the individual, as people move between smaller and larger teams. These results demonstrate that both small and large teams are essential to a flourishing ecology of science and technology, and suggest that, to achieve this, science policies should aim to support a diversity of team sizes.

Entities:  

Mesh:

Year:  2019        PMID: 30760923     DOI: 10.1038/s41586-019-0941-9

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  56 in total

1.  Opinion: The National Institutes of Health needs to better balance funding distributions among US institutions.

Authors:  Wayne P Wahls
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-02       Impact factor: 11.205

2.  Evolutionary dynamics of higher-order interactions in social networks.

Authors:  Unai Alvarez-Rodriguez; Federico Battiston; Guilherme Ferraz de Arruda; Yamir Moreno; Matjaž Perc; Vito Latora
Journal:  Nat Hum Behav       Date:  2021-01-04

3.  How the COVID pandemic is changing global science collaborations.

Authors:  Brendan Maher; Richard Van Noorden
Journal:  Nature       Date:  2021-06       Impact factor: 49.962

Review 4.  A review and meta-analysis of collaborative research prioritization studies in ecology, biodiversity conservation and environmental science.

Authors:  Cody J Dey; Adam I Rego; Jonathan D Midwood; Marten A Koops
Journal:  Proc Biol Sci       Date:  2020-03-18       Impact factor: 5.349

5.  Scientific elite revisited: patterns of productivity, collaboration, authorship and impact.

Authors:  Jichao Li; Yian Yin; Santo Fortunato; Dashun Wang
Journal:  J R Soc Interface       Date:  2020-04-22       Impact factor: 4.118

6.  Creativity in temporal social networks: how divergent thinking is impacted by one's choice of peers.

Authors:  Raiyan Abdul Baten; Daryl Bagley; Ashely Tenesaca; Famous Clark; James P Bagrow; Gourab Ghoshal; Ehsan Hoque
Journal:  J R Soc Interface       Date:  2020-10-14       Impact factor: 4.118

7.  Jump-Starting Kidney Research: Fostering Disruptive Innovation to Advance Nephrology.

Authors:  Jenna M Norton; Robert A Star
Journal:  Clin J Am Soc Nephrol       Date:  2020-08-10       Impact factor: 8.237

8.  Quantifying collective intelligence in human groups.

Authors:  Christoph Riedl; Young Ji Kim; Pranav Gupta; Thomas W Malone; Anita Williams Woolley
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-25       Impact factor: 11.205

9.  Great minds think alike, or do they often differ? Research topic overlap and the formation of scientific teams.

Authors:  Thomas Bryan Smith; Raffaele Vacca; Till Krenz; Christopher McCarty
Journal:  J Informetr       Date:  2020-12-05       Impact factor: 5.107

10.  Modularity and composite diversity affect the collective gathering of information online.

Authors:  Niccolò Pescetelli; Alex Rutherford; Iyad Rahwan
Journal:  Nat Commun       Date:  2021-05-27       Impact factor: 14.919

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