张平文.数学与企业创新[J].中国科学院院刊,2021,36(4):484-489.
数学与企业创新
Mathematics and Enterprise Innovation
数学与企业创新
Mathematics and Enterprise Innovation
作者
张平文
北京大学 数学科学学院 北京 100871
ZHANG Pingwen
School of Mathematical Sciences, Peking University, Beijing 100871, China
北京大学 数学科学学院 北京 100871
ZHANG Pingwen
School of Mathematical Sciences, Peking University, Beijing 100871, China
中文关键词
创新驱动发展战略;应用数学;企业创新;新型研发机构
英文关键词
strategy of innovation-driven development;applied mathematics;enterprise innovation;new R & D institutions
中文摘要
国家的创新发展与数学密不可分，其中应用数学的发展主要由国家需求驱动，具体体现在科学发现、国防建设和企业创新方面。现阶段我国经济已进入创新驱动发展时期，企业作为国家经济活动的主要参与者，其创新发展离不开数学的支持。对于如何通过数学来促进企业创新，文章提出了更好地“提出问题”、更好地“解决问题”、更好地“反馈效果”和更好地“评价成果” 4个需要重视的方面。最后，对数学促进企业创新的前景和重要意义进行了展望。
英文摘要
The innovation and development of China are inseparable from mathematics. The development of applied mathematics, embodied in scientific discovery, national defense construction and enterprise innovation, is mainly driven by national demand. At present, China's economy has entered into a period of innovation driven development. Enterprises, as the main participants of national economic activities, need the support of mathematics for innovation and development. Regarding how to promote enterprise innovation through mathematics, this paper puts forward four aspects that we need to pay attention to and improve on: posing problems, solving problems, reporting results, and evaluating results. At the end, the paper discusses the prospect and significance of promoting enterprise innovation through mathematics.
DOI10.16418/j.issn.1000-3045.20210123003
作者简介
张平文 中国科学院院士,发展中国家科学院院士,美国工业与应用数学学会会士。北京大学副校长,大数据分析与应用技术国家工程实验室主任。中国工业与应用数学学会理事长、CSIAM-AM主编。主要从事复杂流体多尺度建模与计算、自适应方法、大数据分析、人工智能数理基础等方面研究。获国家杰出青年科学基金、冯康科学计算奖、国家自然科学奖二等奖,国际工业与应用数学大会和国际数学家大会的大会邀请报告人。
E-mail:pzhang@pku.edu.cn
ZHANG Pingwen Academician of Chinese Academy of Sciences, Fellow of the World Academy of Sciences (TWAS)-for the advancement of science in developing countries, Fellow of American Society for Industrial and Applied Mathematics. Professor Zhang is currently Vice President of Peking University, Chairman of National Engineering Laboratory for Big Data Analysis and Applications, President of China Society for Industrial and Applied Mathematics, and Editor-in-Chief of CSIAMAM. His current research interests include modeling and simulation of soft matter (complex fluids), adaptive method, big data analysis and mathematical basis of artificial intelligence. Winner of National Science Fund for Distinguished Young Scholars, Feng Kang Prize of Scientific Computing, and National Prize of Natural Sciences (Second-Class), and the invited speaker of International Congress of Industrial and Applied Mathematics and International Congress of Mathematicians.
E-mail:pzhang@pku.edu.cn
E-mail:pzhang@pku.edu.cn
ZHANG Pingwen Academician of Chinese Academy of Sciences, Fellow of the World Academy of Sciences (TWAS)-for the advancement of science in developing countries, Fellow of American Society for Industrial and Applied Mathematics. Professor Zhang is currently Vice President of Peking University, Chairman of National Engineering Laboratory for Big Data Analysis and Applications, President of China Society for Industrial and Applied Mathematics, and Editor-in-Chief of CSIAMAM. His current research interests include modeling and simulation of soft matter (complex fluids), adaptive method, big data analysis and mathematical basis of artificial intelligence. Winner of National Science Fund for Distinguished Young Scholars, Feng Kang Prize of Scientific Computing, and National Prize of Natural Sciences (Second-Class), and the invited speaker of International Congress of Industrial and Applied Mathematics and International Congress of Mathematicians.
E-mail:pzhang@pku.edu.cn
