[目的/意义]本研究通过分析高校学缘结构和人才流动特征,提出对应的优化学缘结构、合理布局人才资源的建议,以优化科研队伍结构、促进学术创新和科研产出。[方法/过程]本研究通过统计分析和社会网络分析方法,对中国高校人工智能领域科技人才的学缘结构从层次性、广泛性、聚集性等3个方面进行分析,对该领域高校间的人才流动网络从跨校、跨地区、高校属性几个方面探究其流动特征。[结果/结论]本研究提出高校方面要转变用人观念、引进人才竞争机制、公开招聘延揽各地人才、创造更多的学术交流机会如增加高校间学习交流项目等,政府方面需加强政策导向、加大经费扶持、制定法律法规等,以此达到优化学缘结构、促进人才流动、合理化科研队伍结构的目的。
Abstract
[Purpose/Significance]This paper analyzes the structure of academic origin and the characteristics of talent mobility between universities, and puts forward suggestions on optimizing the structure of academic origin and rationally arranging talent resource to optimize the structure of the scientific research team and promote academic innovation and scientific research output. [Method/Process] This article uses statistical analysis and social network analysis methods to analyze the academic origin structure of scientific and technological talent in the field of artificial intelligence in Chinese universities from the aspects of hierarchy, extensiveness, and aggregation. At the same time, the talent mobility network between universities in this field is explored from the aspects of trans-school mobility, trans-regional mobility and university attribute. [Results/Conclusions] This article proposes that universities should change their concept of employment, introduce talent competition mechanisms, openly recruit talent from all over the world, and create more academic exchange opportunities such as increasing learning exchange programs between universities. The government needs to strengthen policy guidance, increase funding support, formulate laws and regulations, etc., in order to achieve the goal of optimizing the structure of academic origin, promoting the mobility of talent, and rationalizing the structure of the scientific research team.
关键词
科技人才 /
学缘结构 /
人才流动 /
社会网络分析
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Key words
scientific and technological talent /
academic origin structure /
talent mobility /
social network analysis
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