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Bridging ties in scientific research: the relationship between gender and heterogeneous networks in biomedicine

Authors: Díaz-Faes, Adrián A.; Otero-Hermida, Paula; D'Este Cukierman, Pablo;

Bridging ties in scientific research: the relationship between gender and heterogeneous networks in biomedicine

Abstract

Drawing on gender biases and differences observed in academic paths, this paper aims to disentangle the gender dimension in biomedical research collaboration networks. We adopt a network approach based on the institutional diversity of actors and the configuration of triads (coordinator, gatekeeper, consultant and liaison) as a source of diverse and non-redundant knowledge. Using data from 1,110 usable responses from a questionnaire administered in 2013 to biomedical scientists and technicians belonging to the Spanish Biomedical Research Networking Centres (CIBERs). We control for a number of variables including research group characteristics, individual and organisational factors such as personality traits, motivations and scientific performance. Our early findings show that women form more diverse network triads than men. This result is reinforced when considering the most heterogeneous brokerage open triads (e.g. consultant and liaison). Holding a variety of brokerage roles enhances the intermediation capacity of controlling information flows within research networks and allows women to access non-redundant information resources which can be crucial for knowledge recombination and innovation processes. Gender studies literature on innovation is discussed to conclude with possible policy implications and new research questions.

Trabajo presentado en EU-SPRI Early Career Researcher Conference (ECC, celebrada en Roma (Italia) del 26 al 28 de agosto de 2018.

Keywords

Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, Structural holes, Gender, Bridging ties, Networks, Innovation, Homophily, http://metadata.un.org/sdg/9, Brokerage triads

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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