The University of Tokyo · 경영학
Seokbeom Kwon 교수의 연구실은 과학 정책, 지식 유통, 다학제적 연구의 영향력 및 기술 혁신의 실용화 과정을 중심으로 연구를 전개합니다. 특히 다학제적 연구가 지식 유동성과 영향력에 미치는 영향, 신기술 주제의 탄생 메커니즘, 연구 데이터 공개의 학술적 보상 구조, 규제 불확실성이 기술 상용화에 끼치는 영향 등을 분석합니다. 연구는 실증적 데이터 기반 분석과 메타데이터 기반 지표 개발을 통해 과학 정책 수립에 기여하는 데 목적이 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
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
