高校交叉学科科研创新评价指标研究——以新工科专业人工智能为例  

A Study of Innovation Evaluation Metrics for Interdisciplinary Studies:Take New Engineering Artificial Intelligence as an Example

作　　者：刘翔 李红[2] Liu Xiang;LIi Hong(Office of Talent Management,Hangzhou City University,Hangzhou 310012,China;Library,Zhejiang University,Hangzhou 310027,China)

机构地区：[1]浙大城市学院人才工作办公室,浙江杭州310012 [2]浙江大学图书馆,浙江杭州310027

出　　处：《浙江大学学报（人文社会科学版）》2023年第5期36-46,共11页Journal of Zhejiang University:Humanities and Social Sciences

基　　金：国家社科基金后期资助重点项目(20FZXA005)。

摘　　要：在新一轮科技革命和产业变革加速演进背景下,教育部在新设置的交叉学科门类下确定了智能科学与技术等八个新一级学科。其中,智能科学与技术学科涵盖人工智能、机器人工程等新工科专业,涉及哲学、理学、工学甚至文学、医学等门类及相关学科。目前,交叉学科科研创新能力评估缺乏现成的指标体系。从交叉学科的学科特点出发,高校人工智能领域科研创新评价指标体系应包括基础研究产出、研究质量、技术创新产出、代表新技术的前沿研究四个方面,分别对应论文产出、高质量论文、专利和基金四类指标。构建交叉学科科研创新评价体系,要兼顾交叉性和区分度;注重对评价指标的研究,并根据学科特色调整评价指标体系;引入定标比超法,进一步明确学科建设的进展和差距;适当引入科技情报机构,提升科研创新评价的效率和科学性。The Ministry of Education has set up an“interdisciplinary”category and identified eight new first-level disciplines such as“intelligent science and technology”.The connotation of“Intelligent Science and Technology”covers new engineering majors such as“Artificial Intelligence”and“Robot Engineering”,and involves disciplines such as philosophy,science,engineering,and even literature,medicine,as well as related disciplines.Currently,there is a lack of indicator system for the evaluation of the interdisciplinary scientific researches and innovation capabilities.To provide reference for the evaluation of scientific research and innovation ability of the interdisciplinary“intelligent science and technology”.In the present paper,starting from the disciplinary characteristics of the interdisciplinary disciplines,an evaluation index system was established for the scientific and technological competitiveness of universities in the field of artificial intelligence corresponding to“intelligent science and technology”,which could objectively evaluate the scientific research and innovation capabilities of universities in this interdisciplinary field,timely track the development level of disciplinary competitiveness of universities in artificial intelligence,verify the feasibility of multiple indicator system and discipline characteristic indicators.Considering that universities'scientific research and innovation capabilities are comprehensive,the indicator system cannot cover all innovation activities during the evaluation process,and a set of evaluation indicators for scientific and technological innovation capabilities cannot be applied to all disciplines.Therefore,an indicator system that conforms to the discipline development laws and development stages should be established based on the characteristics of sub disciplines.According to the disciplinary characteristics of artificial intelligence,the evaluation system for the technological innovation ability of artificial intelligence in universitie

关 键 词：交叉学科 智能科学与技术 新工科 人工智能 科研创新 评价指标 

分 类 号：G642[文化科学—高等教育学] TP18-4[文化科学—教育学]