The University of Tokyo · Business, Management and Accounting
Professor Seokbeom Kwon's research lab focuses on the intersection of science policy, innovation systems, and the translation of scientific knowledge into societal and technological impact. The lab investigates how interdisciplinary research, data sharing, regulatory environments, and institutional frameworks influence the flow of knowledge and innovation outcomes. Particular attention is given to emerging technologies such as nanomedicine, synthetic biology, and autonomous vehicles, as well as the role of policy and institutional design in shaping innovation trajectories.
Figures are computed from collected data and may differ slightly.
Encouraging knowledge flow between mutually relevant disciplines is a worthy aim of research policy makers. Yet, it is less clear what types of research promote cross-disciplinary knowledge flow and whether such research generates particularly influential knowledge. Empirical questions remain as to how to identify knowledge-flow mediating research and how to provide support for this research. This study contributes to addressing these gaps by proposing a new way to identify knowledge-flow mediat
Abstract This article puts forth a new indicator of emerging technological topics as a tool for addressing challenges inherent in the evaluation of interdisciplinary research. We present this indicator and test its relationship with interdisciplinary and atypical research combinations. We perform this test by using metadata of scientific publications in three domains with different interdisciplinarity challenges: Nano-Enabled Drug Delivery, Synthetic Biology, and Autonomous Vehicles. Our analysi
The incentive for scientists to disclose their research data hinges on the extent to which data disclosure brings academic credit (the credit effect) compared to the dissipation of academic credit through intensified scientific competition (the competition effect). In this study, we examine the net effect on the academic credit received by research publications of data-providing researchers publicly disclosing research data. To accomplish this, we compared the citation impact of scientific journ
Open papers in the app to read, cite, and organize with AI.
