基于专利数据的产学合作研究

Research on the University-industry Cooperation Based on Patent Data

产学合作能有效利用产业界和学术界优势,推动资源共享、科研创新,助力科研成果产业化,促进科技与产业良性循环.文中基于专利数据,利用社会网络分析法探讨了人工智能领域的产学合作特征,发现电力行业是产业界核心合作主体,清华大学等为主要高校合作伙伴,合作网络整体密度不均衡;技术内容主要集中在各类算法的产业化应用之中.最后,依据分析结果,提出了促进产学合作的建议.

University-Industry cooperation can effectively utilize the advantages of enterprises and academia,promote resource sharing and scientific research innovation,help the industrialization of scientific research results,and promote the virtuous cycle of science and technology and industry.Based on patent data,this paper explores the characteristics of university-industry cooperation in the field of artificial intelligence using social network analysis,and finds that the electric power industry is the core cooperation subject of the industry,and Tsinghua University and other universities are the main partners,and the overall density of the cooperation network is not balanced;and the technical content is mainly concentrated in the industrialized application of various types of algorithms.Finally,based on the results of the analysis,we put forward suggestions for promoting the development of University-Industry cooperation.