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Collaboration enhances career progression in academic science, especially for female researchers Open PDF
(2021)
Van Der Wal, J.E.M.
;
Thorogood, R.
;
Horrocks, N.P.C.
Collaboration and diversity are increasingly promoted in science. Yet how collaborations influence academic career progression, and whether this differs by gender, remains largely unknown. Here, we use co-authorship ego networks to quantify collaboration behaviour and career progression of a cohort of contributors to biennial International Society of Behavioral Ecology meetings (1992, 1994, 1996). Among this cohort, women were slower and less likely to become a principal investigator (PI; approximated by having at least three last-author publications) and published fewer papers over fewer years (i.e. had shorter academic careers) than men. After adjusting for publication number, women also had fewer collaborators (lower adjusted network size) and published fewer times with each co-author (lower adjusted tie strength), albeit more often with the same group of collaborators (higher adjusted clustering coefficient). Authors with stronger networks were more likely to become a PI, and those with less clustered networks did so more quickly. Women, however, showed a stronger positive relationship with adjusted network size (increased career length) and adjusted tie strength (increased likelihood to become a PI). Finally, early-career network characteristics correlated with career length. Our results suggest that large and varied collaboration networks are positively correlated with career progression, especially for women. © 2021 The Authors.
A machine learning approach to quantify gender bias in collaboration practices of mathematicians Open PDF
(2023)
Steinfeldt, C
;
Mihaljevic, H
Collaboration practices have been shown to be crucial determinants of scientific careers. We examine the effect of gender on coauthorship-based collaboration in mathematics, a discipline in which women continue to be underrepresented, especially in higher academic positions. We focus on two key aspects of scientific collaboration-the number of different coauthors and the number of single authorships. A higher number of coauthors has a positive effect on, e.g., the number of citations and productivity, while single authorships, for example, serve as evidence of scientific maturity and help to send a clear signal of one's proficiency to the community. Using machine learning-based methods, we show that collaboration networks of female mathematicians are slightly larger than those of their male colleagues when potential confounders such as seniority or total number of publications are controlled, while they author significantly fewer papers on their own. This confirms previous descriptive explorations and provides more precise models for the role of gender in collaboration in mathematics.
The role of women scholars in the Chilean collaborative educational research: a social network analysis Open PDF
(2019)
Queupil, J.P.
;
Muñoz-García, A.L.
Collaboration is an indispensable tool to promote and increase research. However, little is known about the role of women in collaborative efforts among educational scholars, especially in developing countries, such as Chile. We apply social network analysis (SNA) to examine the relationships and patterns that emerge from a dataset retrieved from Web of Science (WoS) of coauthored scholarly publications. Using sociograms and networks’ centrality indicators (density, degree, betweenness, and closeness) and bibliometric results, this study focuses on detecting the role of women in the collaborative networks. Our results show that the presence of women in the research space is stable across time, but they tend to collaborate more than men, acting as important bridgers since 2000, and that their contribution is relevant in promoting networking. This paper invites a reflection about the policies of research and gender, as well as the positionality of women doing knowledge on education. © 2018, Springer Nature B.V.
Is there a differentiated gender effect of collaboration with supercited authors? Evidence from early-career economists
(El Colegio de México, Centro de Estudios Económicos, 2021)
Dorantes-Gilardi, Rodrigo
;
Ramírez-Álvarez, Aurora Alejandra
;
Terrazas-Santamaría, Diana
Several inequalities between genders have been reported over the last decades in academia. Female researchers tend to have a lower pay, write fewer articles and receive fewer cites than their male counterparts, among other disparities. Co-authorship with highly cited scholars tend to give an advantage to early career researchers. Indeed, the impact of researchers that collaborate with super-cited (SC) authors at their early career stage tends to be greater than for those scientists who do not. The question of whether this advantage is favors male or female scientists has not been addressed yet. By conditioning on career length (at least ten years), we study the effect on male and female economists from collaborating with a SC author within the first five years of their career. Since collaboration is not likely random, we employ a matching model using pre-collaboration network characteristics to compare similar authors. We find a positive effect on the impact and the probability of being SC afterward; however, this effect is not statistically different between men and women. On the productivity side, we do not find an effect for any gender. To further explore these results, we study whether repeated collaboration with SC co-authors may be a possible mechanism in the years that follow.

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