Data science and the art of modelling View Full Text


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Article Info

DATE

2018-06

AUTHORS

Hykel Hosni, Angelo Vulpiani

ABSTRACT

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. More... »

PAGES

121-129

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40329-018-0225-5

DOI

http://dx.doi.org/10.1007/s40329-018-0225-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104154317


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