Public services, personal data and machine learning: prospects for infrastructures and ecosystems

Keen, J orcid.org/0000-0003-2753-8276, Ruddle, R, Palczewski, J orcid.org/0000-0003-0235-8746 et al. (4 more authors) (2019) Public services, personal data and machine learning: prospects for infrastructures and ecosystems. In: Kaya, T, (ed.) 19th European Conference on Digital Government (ECDG 2019). European Conference on Digital Government, 24-25 Oct 2019, Nicosia, Cyprus. Academic Conferences Ltd . ISBN 9781510899018

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Copyright, Publisher and Additional Information: This item is protected by copyright. This is an author produced version of an article published in 19th European Conference on Digital Government (ECDG 2019). Uploaded with permission from the publisher .
Keywords: machine learning, visualisation, governance, personal data, health care, social care
Dates:
  • Published: December 2019
  • Accepted: 6 August 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/N013980/1
Depositing User: Symplectic Publications
Date Deposited: 04 Aug 2020 16:04
Last Modified: 26 Feb 2021 03:04
Status: Published
Publisher: Academic Conferences Ltd

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