東京大学 · 経営学
Kwon教授の研究室は、科学技術政策とイノベーションの政策的・制度的枠組みに焦点を当てており、特に分野間連携（クロスディシプリナリティ）や知的財産の活用、研究データの共有が科学的イノベーションに与える影響を分析しています。特に、分野をつなぐ研究（知識フローの媒介的研究）の特定や、規制の不確実性が医療技術の実用化に与える影響といった、政策的インサイトを提供する研究が特徴です。また、国ごとのイノベーションシステムの違い（例：日本と米国）が技術移転や研究開発戦略に与える影響についても、比較的・制度的視点から探求しています。
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
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