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Big data analytics in social care provision : spatial and temporal evidence from Birmingham
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Chotvijit, Sarunkorn, Thiarai, Malkiat and Jarvis, Stephen A. (2018) Big data analytics in social care provision : spatial and temporal evidence from Birmingham. In: dgo '18 Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, The Netherlands, 30 May - 01 June 2018. Published in: dgo '18 Proceedings of the 19th Annual International Conference on Digital Government Research : Governance in the Data Age ISBN 9781450365260. doi:10.1145/3209281.3209300
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Official URL: https://doi.org/10.1145/3209281.3209300
Abstract
There is significant national interest in tackling issues surrounding the needs of vulnerable children and adults. At the same time, UK local authorities face severe financial challenges as a result of decreasing financial settlements and increasing demands from growing urban populations. This research employs state-of-the-art data analytics and visualisation techniques to analyse six years of local government social care data for the city of Birmingham, the UK’s second most populated city. This analysis identifies: (i) service cost profiles over time; (ii) geographical dimensions to service demand and delivery; (iii) patterns in the provision of services, and (iv) the extent to which data value and data protection interact. The research accesses data held by the local authority to discover patterns and insights that may assist in the understanding of service demand, support decision making and resource management, whilst protecting and safeguarding its most vulnerable citizens. The use of data in this manner could also inform the approach a local authority has to its data, its capture and use, and the potential for supporting data-led management and service improvements.
Item Type: | Conference Item (Paper) | ||||||||
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Subjects: | H Social Sciences > HV Social pathology. Social and public welfare Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Journal or Publication Title: | dgo '18 Proceedings of the 19th Annual International Conference on Digital Government Research : Governance in the Data Age | ||||||||
Publisher: | Association for Computing Machinery (ACM) | ||||||||
ISBN: | 9781450365260 | ||||||||
Official Date: | 30 May 2018 | ||||||||
Dates: |
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Article Number: | 5 | ||||||||
DOI: | 10.1145/3209281.3209300 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 2 June 2018 | ||||||||
Date of first compliant Open Access: | 29 March 2019 | ||||||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||||
Grant number: | EP/L016400/1 | ||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||
Title of Event: | dgo '18 Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Delft, The Netherlands | ||||||||
Date(s) of Event: | 30 May - 01 June 2018 |
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