What makes data science different? A discussion involving Statistics2.0 and computational sciences

Ley, Christophe and Bordas, Stéphane P. A. ORCID: https://orcid.org/0000-0001-8634-7002 2018. What makes data science different? A discussion involving Statistics2.0 and computational sciences. International Journal of Data Science and Analytics 6 (3) , 167–175. 10.1007/s41060-017-0090-x

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Abstract

Data Science is today one of the main buzzwords, be it in business, industrial or academic settings. Machine learning, experimental design, data-driven modelling are all, undoubtedly, rising disciplines if one goes by the soaring number of research papers and patents appearing each year. The prospect of becoming a “Data Scientist” appeals to many. A discussion panel organised as part of the European Data Science Conference (European Association for Data Science (EuADS)) https://euads.org/edsc/ asked the question: “What makes Data Science different?” In this paper, we give our own, personal and multi-faceted view on this question, from a Statistics and an Engineering perspective. In particular, we compare Data Science to Statistics and discuss the connection between Data Science and Computational Sciences.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Additional Information:	This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)
Publisher:	Springer International Publishing / Springer Science Business Media
ISSN:	2364-415X
Date of First Compliant Deposit:	20 January 2021
Date of Acceptance:	12 December 2017
Last Modified:	05 May 2023 12:25
URI:	https://orca.cardiff.ac.uk/id/eprint/137780

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