As many existing research fields are matured academically, researchers have encountered numbers of academic, social and other problems that cannot be addressed by internal knowledge and methodologies of existing disciplines. Earlier, pioneers of researchers thus are following a new paradigm that breaks the boundaries between the prior disciplines, fuses them and seeks new approaches. Moreover, developed countries including Korea are actively supporting and fostering the convergence research at the national level. Nevertheless, there is insufficient research to analyze convergence trends in national R&D support projects and what kind of content the projects mainly deal with. This study, therefore, collected and preprocessed the research proposal data of National Research Foundation of Korea, transforming the proposal documents to term-frequency matrices. Based on the matrices, this study derived detailed research topics through Latent Dirichlet Allocation, a kind of topic modeling algorithm. Next, this study identified the research topics each proposal mainly deals with, visualized the convergence relationships, and quantitatively analyze them. Specifically, this study analyzed the centralities of the detailed research topics to derive clues about the convergence of the near future, in addition to visualizing the convergence relationship and analyzing time-varying number of research proposals per each topic. The results of this study can provide specific insights on the research direction to researchers and monitor domestic convergence R&D trends by year.

이 글은 사회문제 해결형 인문사회－과학기술 융합연구의 특성을 정리하고 그것을 활성화하기 위한 방안을 다룬다. 먼저 현재 이루어지고 있는 사회문제 해결형 인문사회－과학기술 융합연구의 사례를 살펴볼 것이다. 복잡한 사회문제를 해결하기 위한 인문사회－과학기술 융합연구 사례와 기술이 가져올 수 있는 사회적 문제를 사전적으로 성찰하고 개선하기 위한 연구를 검토할 것이다. 이어서 사회문제 해결형 융합연구를 범주화하기 위한 틀로서 (Mode 2) 연구를 제시하고 이를 바탕으로 사회문제 해결형 인문사회－과학기술 융합연구의 특성을 살펴본다. 이 특성을 기준으로 사회문제 해결형 인문사회－과학기술 융합연구의 역할과 발전방향을 모색한다.