Maintaining intellectual diversity in data science

Mann, RP orcid.org/0000-0003-0701-1274 and Woolley-Meza, O (2017) Maintaining intellectual diversity in data science. Data Science, 1 (1-2). pp. 85-94. ISSN 2451-8484

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 – IOS Press and the authors. This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution License (CC BY 4.0).
Keywords: Collective intelligence, diversity, contagion networks
Dates:
  • Published: 8 December 2017
  • Accepted: 28 March 2017
  • Published (online): 27 April 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 May 2017 08:21
Last Modified: 31 Jul 2018 21:17
Status: Published
Publisher: IOS Press
Identification Number: https://doi.org/10.3233/DS-170003

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