Modeling interdisciplinary cooperation networks for innovation-focused university research projects: an agent-based approach
Humanities and Social Sciences Communications, vol. 13
Abstract
Abstract Interdisciplinary cooperation networks within higher education institutions stimulate the generation of knowledge, but their process and dynamics remain insufficiently understood. This study investigates how the diverse knowledge contributions of network participants shape the formation of innovation-focused research projects. Using an agent-based modeling (ABM) framework, we conceptualize the pathways through which these projects develop interdisciplinary networks in universities. The findings reveal that integrating interdisciplinary knowledge plays an important role in fostering innovation-focused university research projects. However, increased interdisciplinarity does not necessarily lead to improved outcomes. Optimal efficiency emerges when projects involve collaboration among approximately two to three fields. Moreover, the model highlights risks associated with knowledge lock-in, which can arise when network dynamics limit academic cooperative behaviors. These insights underscore the pivotal role of interdisciplinary cooperation in academic research and provide valuable guidance for higher education institutions as well as policymakers aiming to optimize research outcomes.
Authors 6
-
Wenhan Feng corresponding
Ludwig-Maximilians-Universität München
Affiliation as printed
Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany
-
Genghao Zhang corresponding
Affiliation as printed
School of Geographical Sciences, University of Bristol, Bristol, UK
-
Bayi Li corresponding
Singapore University of Technology and Design · Lee Kuan Yew Centre for Innovative Cities
Affiliation as printed
Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore
-
Christian-Albrechts-Universität zu Kiel
Affiliation as printed
Department of Geography, Kiel University, Kiel, Germany
-
Affiliation as printed
Faculty of Architecture, RWTH Aachen University, Aachen, Germany
-
Ludwig-Maximilians-Universität München
Affiliation as printed
Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).