Weihua Li
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weihuali.bsky.social
Weihua Li
@weihuali.bsky.social
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Professor of data science. Science of science, networks. Beihang University, Beijing.
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Reposted by Weihua Li
aaronclauset.bsky.social
🎉 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 👉 /1
www.nature.com/articles/s43...
"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 researcher’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.
April 21, 2025 at 8:13 PM
Reposted by Weihua Li
natcomputsci.nature.com
📢Out now! Weihua Li, @jenniebrand.bsky.social, @aaronclauset.bsky.social, and colleagues show that researchers’ early training in diverse environments is strongly correlated with nurturing diverse groups in the established period. www.nature.com/articles/s43... #cssky #NetSci
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. Researchers’ early training in diverse environments is strongly correlated with nurturi...
www.nature.com
April 17, 2025 at 3:26 PM