Race to the Big Lab: Gender Disparities in Large Team Collaboration and Its Impact on Early Academic Careers

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Authors: Zeyuan Chen, Anh Duong Nguyen, Barbara Keller
Cited by: 1
References: 77

Abstract

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.

Fields of Study & Subjects

scientometrics and bibliometrics research Interdisciplinary Research and Collaboration Career Development and Diversity

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–20
Publication date
13 April 2026
Language
EN