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跨领域颠覆性技术主题识别研究——以脑科学技术为例

Translated title of the contribution: Research on Cross Domain Disruptive Technology Theme Identification: A Case Study of Brain Science
  • Xu Jiaqi
  • , Wang Xuefeng*
  • , Chen Hongshu
  • , Lei Ming
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

[Purpose/Significance] Disruptive technology is a key driving force that leads the development of the world economy today. Cross domain disruptive technology often has more profound value and significance for the development of technology. Accurately identifying cross domain disruptive technology in advance is the key to capturing the direction of technological development and seizing the initiative in scientific and technological competition. [Method/ Process] Based on the idea of cross domain fusion innovation, this article constructed a method for identifying disruptive technology themes across domains. Firstly, adopted the ISI-OST-INPI classification system and Rao-Stirling diversity index, comprehensively considered the diversity,uniformity, and differences of the technical fields involved in the patents,and screened cross domain patents. Secondly, using text mining and social network analysis methods, it constructed a cross domain patent keyword temporal co-occurrence network and clustered it to form technical themes. Furthermore, it constructed multidimensional measurement indicators and comprehensive scores from the perspective of knowledge flow within the network, combined with the characteristics of cross domain disruptive technologies, to identify cross domain disruptive technology themes. Finally, selected brain science patents for empirical research. Result/Conclusion] The results indicate that the cultivation of brain-like organs and the transplantation of neural stem cells, brain computer interface technology and applications, and neural morphology computing have strong cross domain disruptive characteristics. The feasibility and effectiveness of the method have been verified through data validation.

Translated title of the contributionResearch on Cross Domain Disruptive Technology Theme Identification: A Case Study of Brain Science
Original languageChinese (Traditional)
Pages (from-to)44-57
Number of pages14
JournalLibrary and Information Service
Volume68
Issue number15
DOIs
Publication statusPublished - Aug 2024
Externally publishedYes

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