[논문]과학외교를 위한 데이터기반의 연구주제선정 방법

여운동; 김선호; 이방래; 노경란

doi:10.5392/jkca.2020.20.11.216

과학외교를 위한 데이터기반의 연구주제선정 방법
Data-Driven Approach to Identify Research Topics for Science and Technology Diplomacy 원문보기

한국콘텐츠학회논문지 = The Journal of the Korea Contents Association, v.20 no.11, 2020년, pp.216 - 227

여운동 (한국과학기술정보연구원 RnD투자분석센터) , 김선호 (한국과학기술정보연구원 RnD투자분석센터) , 이방래 (한국과학기술정보연구원 RnD투자분석센터) , 노경란 (한국과학기술정보연구원 RnD투자분석센터)

초록
AI-Helper

두 국가가 본격적으로 외교적 협약을 진행하기 전 우호적인 분위기를 만들기 위해서나, 국가간 정치적 우호 관계를 지속하기 위한 목적 등으로 과학외교를 사용한다. 최근에는 과학기술이 국가 발전에 미치는 영향이 커짐에 따라서 과학외교에 대한 관심이 더욱 집중되고 있다. 과학외교를 수행하기 위해 두 국가가 서로 흥미를 가질 수 있는 협동연구주제를 찾는 것은 전문가 집단에 의해 추천에 의해 이뤄진다. 그러나 이 방법은 전문가의 주관적 판단에 의지하기 때문에 편향성과 이에 따른 문제가 존재한다. 개인적 및 조직적 편향, 유명한 연구자의 후광효과, 전문가마다 다른 추천기준 등이 있을 수 있다. 본 논문에서는 전문가 기반의 방식이 가지는 문제점을 극복하기 위해 한국에서 시도된 빅데이터 기반의 외교를 위한 연구주제 추천방법을 소개한다. 빅데이터를 분석하기 위한 알고리즘은 전통적인 연구분야인 계량서지학 뿐만 아니라 최신 딥러닝 기술을 사용한다. 제안된 방식은 한국과 헝가리 간의 과학외교에 사용되었으며, 데이터기반 주제선정 방식의 가능성을 확인할 수 있었다.

Abstract ▼ AI-Helper

In science and technology diplomacy, major countries actively utilize their capabilities in science and technology for public diplomacy, especially for promoting diplomatic relations with politically sensitive regions and countries. Recently, with an increase in the influence of science and technology on national development, interest in science and technology diplomacy has increased. So far, science and technology diplomacy has relied on experts to find research topics that are of common interest to both the countries. However, this method has various problems such as the bias arising from the subjective judgment of experts, the attribution of the halo effect to famous researchers, and the use of different criteria for different experts. This paper presents an objective data-based approach to identify and recommend research topics to support science and technology diplomacy without relying on the expert-based approach. The proposed approach is based on big data analysis that uses deep-learning techniques and bibliometric methods. The Scopus database is used to find proper topics for collaborative research between two countries. This approach has been used to support science and technology diplomacy between Korea and Hungary and has raised expectations of policy makers. This paper finally discusses aspects that should be focused on to improve the system in the future.

주제어

표/그림 (6)

그림 Fig. 1 Activity and Attractiveness index
그림 Fig. 2 Vector operation using word2vec's word embedding
그림 Fig. 3 Identification method for candidate RTs used for diplomacy
표 Table 1. Index criteria for candidate topic selection
그림 Fig. 4 Determination of RTs for diplomacy
표 Table 2. Results in engineering

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

The vector operation is <"Automobile" - "Diesel engine" + "Specific technology" = ?>. That is, this study uses the relationship between a diesel engine and an automobile to identify RTs with higher usability.
This paper suggests a new data-driven method to overcome the previously mentioned problems of the top-down and bottom-up approaches. This method of selecting RTs uses big data and has recently been tried as part of the science for diplomacy initiatives in Korea.
This study uses bibliometrics and deep learning to identify RTs based on data for science and technology diplomacy. Bibliometrics is used to find RT candidates, and deep learning is used to select the final RTs considering the relationship between the target country and candidate technology (accessibility, growth rate, and usability).

제안 방법

This approach has actually been used in the science for diplomacy program between Korea and Hungary and has raised expectations of policy makers. The second contribution is that the paper suggests a new method to find technologies based on relationships with hypernyms. We call this method as the “usability method” because it explores the different usages of a technology.
This paper introduced a method that recommends RTs for science and technology diplomacy using scientific data. The need for such a data-driven approach was raised by a government agency in charge of science and technology diplomacy.
A well-known example of such an inference is finding the word "Queen" using the vector operations of King, Queen, Man, and Woman ("King" - "Man"+ "Woman" = ?) [14]. This study uses vector-oriented reasoning to select RTs with high usability. The vector operation is <"Automobile" - "Diesel engine" + "Specific technology" = ?>.

후속연구

This paper empirically used 20% and 50% of the critical values related to activity and attractiveness. However, further studies on the imposition of these values is required. Finally yet importantly, environmental factors other than science and technology such as politics, society, and industry are not reflected in the selection of the RTs.

참고문헌 (23)

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