A study on the causal effect of research team diversity on research performance

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In light of the increasingly intense international competition in science and technology and the opportunities presented by domestic reforms in science and technology evaluation, this project, based on a massive dataset of academic publications, investigates the characteristics and spatial-temporal distribution patterns of team diversity in scientific collaboration. Furthermore, it explores the causal relationship between team diversity and the research performance of both teams and individuals, aiming to provide a research foundation for effective team formation and optimization, and for the rational allocation of research resources. Through a systematic review of relevant research literature and data on scientific collaboration, this project will develop a multi-dimensional framework for characterizing team diversity, creating a comprehensive profile of research teams based on their diversity. Using spatial-temporal analysis tools, it will examine the distribution and evolution patterns of team diversity in real-world research collaborations, and explore the factors influencing team diversity. Finally, it will analyze the causal effects of team diversity on the research performance of both teams and individual researchers. This research will deepen our understanding of scientific collaboration, accurately assess the impact of team diversity on research outcomes, and provide policy recommendations and practical suggestions for building and optimizing research teams and for the rational allocation of research resources.

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Associate Professor

My research interests include scientific collaboration, emerging topic detection and scientific text mining.

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