【2h】

Collective credit allocation in science

机译:科学中的集体信用分配

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摘要

Collaboration among researchers is an essential component of the modern scientific enterprise, playing a particularly important role in multidisciplinary research. However, we continue to wrestle with allocating credit to the coauthors of publications with multiple authors, because the relative contribution of each author is difficult to determine. At the same time, the scientific community runs an informal field-dependent credit allocation process that assigns credit in a collective fashion to each work. Here we develop a credit allocation algorithm that captures the coauthors’ contribution to a publication as perceived by the scientific community, reproducing the informal collective credit allocation of science. We validate the method by identifying the authors of Nobel-winning papers that are credited for the discovery, independent of their positions in the author list. The method can also compare the relative impact of researchers working in the same field, even if they did not publish together. The ability to accurately measure the relative credit of researchers could affect many aspects of credit allocation in science, potentially impacting hiring, funding, and promotion decisions.
机译:研究人员之间的合作是现代科学事业的重要组成部分,在多学科研究中发挥着特别重要的作用。但是,由于每个作者的相对贡献很难确定,因此我们继续努力分配著作权给具有多个作者的出版物的共同作者。同时,科学界运行着非正式的,取决于领域的信用分配过程,该过程以集体的方式为每项工作分配信用。在这里,我们开发了一种学分分配算法,该算法可以捕获科学界认为的共同作者对出版物的贡献,从而再现科学的非正式集体学分分配。我们通过确定获得诺贝尔奖的论文的作者,而不依赖其在作者列表中的位置,来验证该方法。该方法还可以比较从事同一领域工作的研究人员的相对影响,即使他们没有一起发表。准确衡量研究人员相对信用的能力可能会影响科学中信用分配的许多方面,从而可能影响招聘,资助和晋升决策。

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