About this Research Topic
It is well documented that women are underrepresented in science and even more so within the STEM disciplines (Science, Technology, Engineering, and Mathematics). This has resulted in a large body of work investigating the factors contributing to the lack of gender diversity in science and has given rise to a number of theoretical frameworks to explain this phenomenon (such as the Leaky Pipeline).
Further work has used Social Network Analysis (SNA) techniques to examine gender diversity patterns within the sciences and STEM disciplines. These studies often examine how gender patterns impact tie formation in a range of scientific networks (such as collaboration networks, inventor networks, or even citation networks). They consider, for example, whether gender homophily is more important for women in scientific networks than men when forming new network ties.
The goal of this Research Topic is to present a collection of works considering how networks impact the performance or behaviour of women in science or working in STEM disciplines. The aim of this Research Topic is to go beyond examining how women form networks, but how these networks shape and impact their activities. For example, whether the network position and centrality of women matter more than men in relation to academic performance (such as securing grant funding, or the performance of women-led projects).
The Research Topic welcomes submissions investigating the interplay between the position of women in a range of networks and the impact on performance or behaviour, including (but not limited to):
• Gender diversity in collaboration networks and knowledge-exchange networks;
• The role of gender in inventor network and patent performance;
• Centrality of women in STEM and academic performance;
• The position of women in STEM in citation networks and academic performance;
• The interplay between gender and labour market decisions and behaviours in STEM disciplines;
• The role of gender in shaping global migration decisions of scholars in the STEM disciplines.
Further work has used Social Network Analysis (SNA) techniques to examine gender diversity patterns within the sciences and STEM disciplines. These studies often examine how gender patterns impact tie formation in a range of scientific networks (such as collaboration networks, inventor networks, or even citation networks). They consider, for example, whether gender homophily is more important for women in scientific networks than men when forming new network ties.
The goal of this Research Topic is to present a collection of works considering how networks impact the performance or behaviour of women in science or working in STEM disciplines. The aim of this Research Topic is to go beyond examining how women form networks, but how these networks shape and impact their activities. For example, whether the network position and centrality of women matter more than men in relation to academic performance (such as securing grant funding, or the performance of women-led projects).
The Research Topic welcomes submissions investigating the interplay between the position of women in a range of networks and the impact on performance or behaviour, including (but not limited to):
• Gender diversity in collaboration networks and knowledge-exchange networks;
• The role of gender in inventor network and patent performance;
• Centrality of women in STEM and academic performance;
• The position of women in STEM in citation networks and academic performance;
• The interplay between gender and labour market decisions and behaviours in STEM disciplines;
• The role of gender in shaping global migration decisions of scholars in the STEM disciplines.
Keywords: Social Network Analysis, SNA, women, science, STEM, gender diversity
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
