Journal of Scientific Information Research
Keywords
new quality fighting capacity; foundation model; innovation of national defense-related science and technology; forecasting innovation pathways
Abstract
[Purpose/significance]The innovation of national defense-related science and technology promoting the development of new-quality fighting capacity has become a national strategic demand, effectively forecasting innovation pathways in national defense-related science and technology is of great significance to improve the innovation capability of national defense-related science and technology and create the Chinese new quality fighting capacity. [Method/process] In view of characteristics of the innovation of national defense-related science and technology, i.e. mutability, uncertainty and high risk, this thesis constructs a logical framework of forecasting innovation pathway in national defense-related science and technology based on the theoretical analysis of the core elements of forecasting innovation path, and adopts three submodels i.e. identification of military needs, prediction of key technologies and mining of supportive policies to forecast innovation pathway in national defense-related science and technology. [Result/conclusion]The research results show that the foundation model can effectively predict the development trend of national defense-related science and technology and key technological break throughs, which provide scientific basis for the decision-making of innovation of national defense-related science and technology and effectively promote the integration of the new quality productivity and the new quality fighting capacity.
First Page
86
Last Page
94
Submission Date
17-Jun-2024
Revision Date
26-Sep-2024
Acceptance Date
08-Oct-2024
Published Date
01-Jan-2025
Reference
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Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.01.008
Recommended Citation
DUAN, Yuzhu; FU, Qiang; and LI, Yuqiong
(2025)
"Forecasting Innovation Pathways in National Defense-Related Science and Technology Based on Foundation Model,"
Journal of Scientific Information Research: Vol. 7:
Iss.
1, Article 8.
DOI: 10.19809/j.cnki.kjqbyj.2025.01.008
Available at:
https://eng.kjqbyj.com/journal/vol7/iss1/8