中美国家自科基金大数据技术领域项目分析

Analysis of Big Data Technology Projects of China-US Household Science Fund

摘要: 为了探究大数据技术领域的总体发展态势，通过对中美国家自科基金的大数据全球科研项目对比分析，运用数量统计和文本挖掘法对2012~2021年科研立项数据进行统计分析，揭示大数据技术领域的科研总体态势、优势学科、核心机构、热点主题等。结果表明：近10年大数据技术领域的科研项目自2018年后呈相对缓慢下降态势，以美国自科基金的计算机与信息科学及工程学部、中国自科基金的信息科学部为主，核心力量是中国清华大学和美国卡内基梅隆大学，以研究项目为主导。我国科研投入主要分布在北京、上海、江苏，重点研发方向以大数据、数据挖掘、深度学习为主。

Abstract: To explore the overall development trend of big data technology, through the comparative analysis of the big data global scientific research projects of the China-US National Science Fund, the statisti-cal analysis of the 2012~2021 scientific research project data is carried out by using the quantita-tive statistics and text mining methods to reveal the overall scientific research situation, advanta-geous disciplines, core institutions, hot topics, etc. in the field of big data technology. The results show that the scientific research projects in the field of big data technology in the past 10 years have shown a relatively slow decline since 2018. The computer and information science and Engi-neering Department of the American Science Foundation and the information science department of the China Science Foundation are the main forces. The core forces are Tsinghua University in Chi-na and Carnegie Mellon University in the United States, with research projects as the leading force. China’s scientific research investment is mainly distributed in Beijing, Shanghai and Jiangsu. The key research and development directions are big data, data mining and in-depth learning.