Journal Articles Applied Network Science Year : 2022

Distribution of labor, productivity and innovation in collaborative science

Répartition du travail, productivité et innovation dans les sciences collaboratives

Abstract

In this paper, we investigate the process of scientific discovery using an underexploited source of information: the Polymath projects. Polymath projects are an original attempt to solve a series mathematical problems collectively and in a collaborative online environment. To investigate the Polymath experiment, we analyze all the posts related to the projects that have resulted in a peer-reviewed publication. We focus in particular on the organization of the scientific labor and on the innovations that result from the contributions of the different authors. We find that a high presence of occasional contributors increases the productivity of the most active users and the overall productivity of the forums (i.e., the number of posts grows super-linearly with the number of contributors). We argue that, in large-scale collaborations, the serendipitous interaction between occasional contributors can be crucial to the scientific process, and individual contributions from occasional participants can open new directions of research.
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Dates and versions

hal-03501283 , version 1 (15-01-2024)

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Cite

Floriana Gargiulo, Maria Castaldo, Tommaso Venturini, Paolo Frasca. Distribution of labor, productivity and innovation in collaborative science. Applied Network Science, 2022, Special Issue of the French Regional Conference on Complex Systems, 7, pp.19. ⟨10.1007/s41109-022-00456-0⟩. ⟨hal-03501283⟩
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