摘要
科技创新是国家发展与民族复兴的强大引擎。提高科技创新能力必须透彻理解科研活动本身,包括科学研究发展规律、科技竞争形式特点、科研人员行为方式、科研成果传播影响等。科技信息是大量科研活动信息的承载和记录,科技信息的智能挖掘服务可以有效支撑科研创新能力研究。文章提出"智能科学家"的理念,首先分析了科研范式的演变与发展趋势,然后探讨了科技信息引领下的辅助科研创新、协助科研创新、自主科研创新三阶段构想,最终实现"智能科学家"的目标,最后介绍了"智能科学家"需要依托的若干关键技术方向。
Scientific and technological innovation is a powerful engine for national development and the revival of our nation. To improve the capability of scientific and technological innovation,we must thoroughly understand the scientific research activities themselves,including the laws of scientific research development,the characteristics of technological competitions,the behavior of researchers,the impact of scientific research outcomes,etc. Scientific and technological Information records a large volume of scientific research activities themselves. The intelligent mining and application of such information can effectively support the improvement of scientific and technological innovation. In this paper,we propose the concept of"AI Scientist". We discuss the evolution and development trend of scientific research paradigms firstly. We then introduce the three-phase building blocks towards the novel scientific and technological information driven framework,including key innovations to support,to assist and eventually to automate basic scientific research and development. Finally,we introduce several key technical directions of"AI Scientist".
出处
《情报理论与实践》
CSSCI
北大核心
2020年第1期1-5,17,共6页
Information Studies:Theory & Application
关键词
智能科学家
科技信息
科研范式
科研创新
领域知识
AI scientist
scientific and technological information
scientific research paradigm
scientific research innovation
domain knowledge