中国农业科技导报2025，Vol.27Issue(7)：10-19,10.DOI:10.13304/j.nykjdb.2024.0418
基于学科交叉的未来产业识别研究
Study on Identification of Future Industries Based on Interdisciplinary
摘要
Abstract
The future industry is driven by cutting-edge technology,and it is the key to grasp the initiative of future development.It has characteristics of cutting-edge technology,cross fusion and strategic,which is same as interdisciplinary studies,so it is feasible to carry out future industry identification based on interdisciplinary studies.As an frontier interdisciplinary field related to national food security and human life and health,the field of bio-breeding has a huge industrial space in the future.It is of great significance to study on the identification of future industries in the field of bio-breeding based on interdisciplinary.According to the technology push model,the technology drive begins with basic research,which is generally characterized by the use of journal literature,hence the use of journal data as a data source.Firstly,highly interdisciplinary literature was screened using the comprehensive indicator measure of disciplinary diversity,then the technology clusters were obtained by theme mining of three consecutive time-periods of literature using the latent dirichlet allocation(LDA)model,and finally identifying the future industry of bio-breeding through the trend of theme change,and discovering the future industrial application scenarios through the analyses of the sub-divisions of the technology clusters and the cooperating organizations.3 future industrial technology clusters in field of bio-breeding:synthetic biology,bioinformatics,and biology and environment were successfully identified.The identification results were consistent with the industry,indicating the feasibility of the method.The application scenarios of the subfields and institutions of the future industrial technology clusters in field of bio-breeding were further analyzed,which provided decision support for the layout of future industries in the field of bio-breeding by government and laboratory.关键词
学科交叉/未来产业/主题模型/生物育种Key words
interdisciplinarity/future industries/topic model/biological breeding分类
农业科技引用本文复制引用
史敏,徐珍艳,罗建..基于学科交叉的未来产业识别研究[J].中国农业科技导报,2025,27(7):10-19,10.基金项目
湖南省教育厅重点项目(23A0758) （23A0758）
中国工程院地方研究院咨询项目重大项目(2023-DFZD-63). （2023-DFZD-63）
