论文标题
数据科学与建模艺术
Data science and the art of modelling
论文作者
论文摘要
数据中心热情在各个领域都变得越来越强烈。尽管数据科学毫无疑问地提出了令人兴奋的科学问题，但我们认为，它的贡献不应从它们起源的科学环境中推断出来。特别是，我们建议简单的想法可以将数据视为替代科学建模的效果是不可判断的。通过回顾一些动力学系统中一些知名的示例，我们得出结论，数据科学与模特的微妙艺术相结合时会表现最好。
Datacentric enthusiasm is growing strong across a variety of domains. Whilst data science asks unquestionably exciting scientific questions, we argue that its contributions should not be extrapolated from the scientific context in which they originate. In particular we suggest that the simple-minded idea to the effect that data can be seen as a replacement for scientific modelling is not tenable. By recalling some well-known examples from dynamical systems we conclude that data science performs at its best when coupled with the subtle art of modelling.
