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Designing data science software for social care organisations

Abstract:

Within the last few decades, data science has risen towards the top of agendas in public services such as adult social care. Concomitant with this ever-increasing appetite for data science is an expanding catalogue of challenges associated with developing, deploying, and maintaining data science software: choosing the appropriate, if any, analytical technique to use; balancing competing conceptions of success; and sustaining user adoption. In my thesis, I argue that these are sociotechnical c...

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Publication status:
Published
Peer review status:
Reviewed (other)

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Publisher copy:
10.1145/3544549.3577062

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Jesus College
Role:
Author
ORCID:
0000-0002-9249-7688
Publisher:
Association for Computing Machinery
Host title:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23)
Article number:
488
Publication date:
2023-04-19
Acceptance date:
2023-01-13
Event title:
ACM CHI Conference on Human Factors in Computing Systems (CHI 23)
Event location:
Hamburg, Germany
Event website:
https://chi2023.acm.org/
Event start date:
2023-04-23
Event end date:
2023-04-28
DOI:
ISBN:
9781450394222
Language:
English
Keywords:
Pubs id:
1339604
Local pid:
pubs:1339604
Deposit date:
2023-05-03

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