数据科学与建模艺术
Data science and the art of modelling
摘要：
以数据为中心的热情在各个领域都越来越强烈。虽然数据科学提出了毫无疑问令人兴奋的科学问题，但我们认为，它的贡献不应该从它们起源的科学背景中推断出来。特别是，我们认为，简单的想法，数据可以被视为科学建模的替代品是站不住脚的。通过回顾动力系统中一些著名的例子，我们得出结论，数据科学在与建模的微妙艺术结合时表现最佳。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
