This item is licensed Korea Open Government License
dc.contributor.author
허요섭
dc.contributor.author
김근환
dc.contributor.author
강종석
dc.date.accessioned
2022-01-11T08:37:25Z
dc.date.available
2022-01-11T08:37:25Z
dc.date.issued
2019-07-30
dc.identifier.issn
2071-1050
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16222
dc.description.abstract
Infectious diseases have been continuously and increasingly threatening human health and welfare due to a variety of factors such as globalisation, environmental, demographic changes, and emerging pathogens. In order to establish an interdisciplinary approach for coordinating R&D via funding, it is imperative to discover research trends in the field. In this paper, we apply machine learning methodologies and network analyses to understand how the European Union (EU) and the United States (US) have invested their funding in infectious diseases research utilising an interdisciplinary approach. The purpose of this paper is to use public R&D project data as data and to grasp the research trends of epidemic diseases in the US and EU through scientometric analysis.
dc.language.iso
eng
dc.publisher
MDPI
dc.relation.ispartofseries
Sustainability;
dc.title
National Scientific Funding for Interdisciplinary Research: A Comparison Study of Infectious Diseases in the US and EU