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Weihua Li

@weihuali.bsky.social

Professor of data science. Science of science, networks. Beihang University, Beijing.

14 Followers  |  14 Following  |  2 Posts  |  Joined: 17.04.2025  |  1.7458

Latest posts by weihuali.bsky.social on Bluesky

The German academic system is probably more similar to China than the US in its hierarchical structure, bureaucracy and management style. Here, research is regarded as an outcome of collective effort and central strategic planning of the institute, rather than individual inspiration and hard work.

23.05.2025 02:17 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Congrats Iain! So well deserved! Also, thank you for the mentorship and help when I was in Konstanz during Covid. Look forward to seeing you again!

23.05.2025 02:06 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
"Gender and racial diversity socialization in science", a new published article by Weihua Li, Hongwei Zheng, Jennie E. Brand, and Aaron Clauset. Abstract: Scientific collaboration networks are a form of unequally distributed social capital that shapes both researcher job placement and long-term research productivity and prominence. However, the role of collaboration networks in shaping the gender and racial diversity of the scientific workforce remains unclear. Here we propose a computational null model to investigate the degree to which early-career scientific collaborators with representationally diverse cohorts of scholars are associated with forming or participating in more diverse research groups as established researchers. When testing this hypothesis using two large-scale, longitudinal datasets on scientific collaborations, we find that the gender and racial diversity in a researcherโ€™s early-career collaboration environment is strongly associated with the diversity of their collaborators in their established period. This diversity-association effect is particularly prominent for men. Coupled with gender and racial homophily between advisors and advisees, collaborator diversity represents a generational effect that partly explains why changes in representation within the scientific workforce tend to happen very slowly.

"Gender and racial diversity socialization in science", a new published article by Weihua Li, Hongwei Zheng, Jennie E. Brand, and Aaron Clauset. Abstract: Scientific collaboration networks are a form of unequally distributed social capital that shapes both researcher job placement and long-term research productivity and prominence. However, the role of collaboration networks in shaping the gender and racial diversity of the scientific workforce remains unclear. Here we propose a computational null model to investigate the degree to which early-career scientific collaborators with representationally diverse cohorts of scholars are associated with forming or participating in more diverse research groups as established researchers. When testing this hypothesis using two large-scale, longitudinal datasets on scientific collaborations, we find that the gender and racial diversity in a researcherโ€™s early-career collaboration environment is strongly associated with the diversity of their collaborators in their established period. This diversity-association effect is particularly prominent for men. Coupled with gender and racial homophily between advisors and advisees, collaborator diversity represents a generational effect that partly explains why changes in representation within the scientific workforce tend to happen very slowly.

๐ŸŽ‰ Our new paper "Gender and racial diversity socialization in science" @natcomputsci.nature.com with @weihuali.bsky.social, H Zheng and @jenniebrand.bsky.social studies how early-career experiences with diversity drive more diverse teams later in a career ๐Ÿ‘‰ /1
www.nature.com/articles/s43...

21.04.2025 20:13 โ€” ๐Ÿ‘ 61    ๐Ÿ” 26    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 2
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Gender and racial diversity socialization in science - Nature Computational Science A computational null model is proposed to study the gender and racial diversity-association effects in academia. Researchersโ€™ early training in diverse environments is strongly correlated with nurturi...

๐Ÿ“ขOut now! Weihua Li, @jenniebrand.bsky.social, @aaronclauset.bsky.social, and colleagues show that researchersโ€™ early training in diverse environments is strongly correlated with nurturing diverse groups in the established period. www.nature.com/articles/s43... #cssky #NetSci

17.04.2025 15:26 โ€” ๐Ÿ‘ 18    ๐Ÿ” 10    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1

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