Applied Network Science (Mar 2022)
Distribution of labor, productivity and innovation in collaborative science
Abstract
Abstract In this paper, we investigate the process of scientific discovery using an under-exploited 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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