Faculty of Environmental Studies, York University, Toronto, Canada.
School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, Indiana, United States of America.
PLoS One. 2021 Feb 1;16(2):e0246260. doi: 10.1371/journal.pone.0246260. eCollection 2021.
Interdisciplinary research is essential for the study of complex systems, and so there is a growing need to understand the factors that facilitate collaboration across diverse fields of inquiry. In this exploratory study, we examine the composition of self-organized project groups and the structure of collaboration networks at the Santa Fe Institute's Complex Systems Summer School. Using data from all iterations of the summer school from 2005 to 2019, comprising 823 participants and 322 projects, we investigate the factors that contribute to group composition. We first test for homophily with respect to individual-level attributes, finding that group composition is largely consistent with random mixing based on gender, career position, institutional prestige, and country of study. However, we find some evidence of homophilic preference in group composition based on disciplinary background. We then conduct analyses at the level of group projects, finding that project topics from the Social and Behavioral Sciences are over-represented. This could be due to a higher level of baseline interest in, or knowledge of, social and behavioral sciences, or the common application of methods from the natural sciences to problems in the social sciences. Consequently, future research should explore this discrepancy further and examine whether it can be mitigated through policies aimed at making topics in other disciplines more accessible or appealing for collaboration.
跨学科研究对于研究复杂系统至关重要,因此,人们越来越需要了解促进不同领域合作的因素。在这项探索性研究中,我们考察了圣达菲研究所复杂系统暑期学校自组织项目组的组成和合作网络的结构。我们利用了 2005 年至 2019 年期间暑期学校所有迭代的数据集,其中包括 823 名参与者和 322 个项目,研究了促成小组组成的因素。我们首先针对个人层面的属性进行了同质性测试,发现小组组成在很大程度上与基于性别、职业地位、机构声望和学习国家的随机混合一致。然而,我们发现小组组成中存在一些基于学科背景的同型偏好的证据。然后,我们在小组项目层面进行了分析,发现社会和行为科学的项目主题的代表性过高。这可能是由于对社会和行为科学的基本兴趣或知识水平较高,或者是由于将自然科学的方法普遍应用于社会科学中的问题。因此,未来的研究应该进一步探讨这一差异,并研究是否可以通过旨在使其他学科的主题更易获得或更具吸引力以进行合作的政策来缓解这一差异。