Race to the Big Lab: Gender Disparities in Large Team Collaboration and Its Impact on Early Academic Careers
2026 (engelsk)Inngår i: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026, Association for Computing Machinery (ACM), 2026, artikkel-id 681Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
This study investigates the role of large-team collaboration in shaping early-career scholars' career development, with a focus on gender disparities. Using publication and collaboration data from SciSciNet in Computer Science, we capture the social capital accumulation process in academia with a neighborhood-based centrality metric and publication counts. Synthetic difference-in-differences (SDID) is applied to estimate the impact of early experience in large-team collaboration on subsequent research careers. Results indicate that junior scholars participating in large-team research significantly improve their network centrality, indicating more frequent collaborations with influential scholars, and produce approximately 0.75 more publications per year. Meanwhile, we document persistent gender gaps: men are 16% more likely to access large-team collaborations. These findings highlight large-team collaboration as both a source of career acceleration and a mechanism of gender inequality. We conclude with implications for equity promotion and strategies enabling more inclusive collaboration.
sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2026. artikkel-id 681
Emneord [en]
Team Science, Large Team Collaboration, Social Capital, Early-Career Scholars, Gender Disparities, Scientific Capital, Collaboration Network, Co-Author Network, Network Analysis, Causal Inference, Scientometrics, Network Centrality, Synthetic Difference-in-Differences, Survival Analysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-595090DOI: 10.1145/3772318.3791205ISI: 001795712700068Scopus ID: 2-s2.0-105038712682ISBN: 979-8-4007-2278-3 (tryckt)OAI: oai:DiVA.org:uu-595090DiVA, id: diva2:2092120
Konferanse
2026 Conference on Human Factors in Computing Systems-CHI, April 13-17, 2026, Barcelona, Spain
2026-08-132026-08-132026-08-13bibliografisk kontrollert