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数据科学在社会经济领域应用的重心——兼评《十字路口的统计学, 谁来应对挑战》
The Focus of Data Science Applications in the Socio-Economy: On Statistics at a Crossroads: Who is for the Challenge?
社会经济领域是数据科学应用的主要场合之一，如何把握该领域中数据科学的学科格局及其重心，是制定和实施学科发展战略的一个基本问题.本文从我国经济统计的切实需要出发，结合《HMYW 2019统计学报告》中的重要观点，讨论了数据科学在社会经济领域应用的学科格局.本文提出"数据整理方法"、"模糊不确定现象"和"问题导向"是大数据时代数据科学在社会经济中应用时应该把握的三个重心，并分析了各自的重要性和关键点.最后，本文对数据科学未来的发展重心和战略调整进行了探讨.
The socio-economic field is one of the main occasions for data science applications. How to grasp the disciplinary pattern and focus of data science in this field is a basic problem in formulating and implementing discipline development strategies. Based on the practical needs of China's economic statistics and the important points in the "HMYW 2019 Statistics Report", this paper discusses the disciplinary pattern of data science applications in the socio-economy. We propose that "data processing methods", "ambiguity uncertainty phenomenon" and "problem-driven pattern" are the three focuses of the application of data science in the socio-economy in the era of big data, analyzing their respective importance and key points. Finally, we discuss the future development direction and strategic adjustment of data science.
数据科学 / 社会经济 / 统计学 / 学科发展 / 大数据 {{custom_keyword}} /
data science / socio-economy / statistics / discipline development / big data {{custom_keyword}} /
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本文初稿写于2019年12月.2020年9月第二稿形成后, 曾寄送天津财经大学肖红叶教授审阅, 得到充分肯定, 并应时任厦门大学王亚南经济研究院院长洪永淼教授邀请, 笔者以此为专题在厦门大学计量经济学与统计学"邹至庄讲座"系列做过系统报告, 本专题也在江西财经大学、浙江工商大学、山东工商大学、湖南工商大学、湖南师范大学、东北财经大学做过时间长短不一的报告.2020年9月, 洪永淼教授将其与汪寿阳教授合作论文《大数据、机器学习与统计学:挑战与机遇》的文稿发给笔者, 本文第三次修订时将该文作为重要参考.特志于此, 一并表示感谢!
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