摘要
该研究聚焦人工智能领域,围绕全球主流国家/地区的主要基金资助机构的基金项目,将项目及其研究成果进行了贯通分析,(1)通过统计分析考察不同国家/地区政府的学科布局重点;(2)引入综合研究强度指标,综合运用资助项目数、资助项目的学术生产力以及资助项目的学术影响力,分析参与机构的研究重点和研究能力;(3)结合共现分析,引入主题热度指标,多维度考虑研究主题的共现主题数、共现总次数、词频,分析人工智能领域资助项目所产生的研究主题分布、研究热点、潜在研究等。分析发现,人工智能领域是学科交叉的汇聚领域。人工智能在教育领域、心理学领域的应用最广;在地球与环境科学的应用价值最高;在商业/管理领域的研究和应用最热。不同学科共同参与促进了对人工智能的更加广泛的研究,研究主题呈多样化趋势。基于上述发现和分析,拟为我国在该领域科技政策的制定、研究布局的规划等提供数据支持和决策参考。
This research focuses on the field of artificial intelligence, and makes a thorough analysis of the projects and their research results around the fund projects of the major funding institutions in the global mainstream countries/regions,(1) Through statistical analysis, this paper investigates the key points of discipline layout of governments in different countries/regions;(2) By introducing the index of comprehensive research intensity, the number of funded projects, the academic productivity of funded projects and the academic influence of funded projects are comprehensively used to analyze the research focus and research ability of participating institutions;(3) Combined with co-occurrence analysis, this paper introduces the topic heat index, considers the number of co-occurrence topics, the total number of co-occurrence times, and word frequency of research topics in multi-dimensional, and analyzes the distribution of research topics, research hotspots, and potential research generated by funded projects in the field of artificial intelligence. It is found that the field of artificial intelligence is an interdisciplinary convergence field. The development of artificial intelligence provides research methods and tools for business/management, psychology, physics, clinical and other research. The joint participation of different disciplines promotes more extensive research on artificial intelligence, and the research topics are diversified. Based on the above findings and analysis, this paper intends to provide data support and decision-making reference for the formulation of science and technology policy and the planning of research layout in this field in China.
作者
贾佳
Jia Jia(ShanghaiTech University,393 Middle Huaxia Road,Pudong,Shanghai 201210,china)
出处
《科学观察》
2021年第5期31-52,共22页
Science Focus
关键词
人工智能
学科交叉
综合研究强度
主题热度
潜在研究主题
研究主题多样化
artificial intelligence
interdisciplinary
comprehensive research intensity
research hotspots
potential research topics
diversified research topics