講演報告 MIT NSE （Department of Nuclear Science and Engineering）Special Seminar
2018年9月11日、マサチューセッツ工科大学 NSE（Department of Nuclear Science and Engineering）でSpecial Seminarが開催され、
Title: "Detecting knowledge structure and trends in academic research from a citation network using a machine learning approach- Advanced Bio Carbon (ABC) Consortium related fields"
Abstract: In today’s increasingly global and knowledge-intensive economy, competitiveness and growth depend on the ability to keep pace with the seeds of innovation in science and swiftly develop technological applications. Planners or managers of scientific and technological research must grasp broader research coverage, and make decisions on effective investment in promising and emerging technologies. Since the traditional expert-based approach is time-consuming and subjective, it is expected to be supplemented by a computer-based approach.
We will propose a comprehensive approach used a citation network analysis, a topic modeling and a machine learning approach to identify knowledge structure and emerging research topics.
Then, we will show examples of analysis results in the field of renewable energy and nano-carbon.
In the field of nano-carbon, it is possible to objectively specify that applied researches on catalysts, battery, biosensors, nano-composite, drug delivery, solar cell and absorption are progressing rapidly.
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