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http://dx.doi.org/10.21289/KSIC.2022.25.2.219

Nationally-Funded R&D Projects Data Based Dynamic Convergence Index Development: Focused On Life Science & Public Health Area  

Lee, Doyeon (Division of Data Analysis, Korea Institute of Science and Technology Information(KISTI))
Kim, Keunhwan (University of Science and Technology (UST) - High Performance Computing (HPC) Science, Division of Data Analysis, Korea Institute of Science and Technology Information(KISTI))
Publication Information
Journal of the Korean Society of Industry Convergence / v.25, no.2_2, 2022 , pp. 219-232 More about this Journal
Abstract
The aim of this study is to provide the dynamic convergence index that reflected the inherent characteristics of the convergence phenomenon and utilized the nationally-funded R&D projects data, thereby suggesting useful information about the direction of the national convergence R&D strategy. The dynamic convergence index that we suggested was made of two indicators: persistency and diversity. From a time-series perspective, the persistency index, which measures the degree of continuous convergence of multidisciplinary nationally-funded R&D projects, and the diversity index, which measures the degree of binding with heterogeneous research areas. We conducted the empirical experiment with 151,248 convergence R&D projects during the 2015~2021 time period. The results showed that convergence R&D projects in both public health and life sciences appeared the highest degree of persistency. It was presumed that the degree of persistency has increased again due to the COVID-19 pandemic. Meanwhile, the degree of diversity has risen with combining with disciplinary such as materials, chemical engineering, and brain science areas to solve social problems including mental health, depression, and aging. This study not only provides implications for improving the concept and definition of dynamic convergence in terms of persistency and diversity for national convergence R&D strategy but also presented dynamic convergence index and analysis methods that can be practically applied for directing public R&D programs.
Keywords
Dynamic Convergence Index; Persistency; Diversity; Nationally-Funded R&D Projects; Life Science; Public Health;
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Times Cited By KSCI : 3  (Citation Analysis)
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