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A mixed-methods ethnographic approach to participatory budgeting in Scotland

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Davies, Jonathan, Arana-Catania, Miguel, Procter, Rob, van Lier, Felix-Anselm and He, Yulan (2021) A mixed-methods ethnographic approach to participatory budgeting in Scotland. In: International Conference on Information Technology for Social Good (GoodIT), Rome, Italy, 9-11 Sep 2021. Published in: GoodIT '21: Proceedings of the Conference on Information Technology for Social Good pp. 317-320. ISBN 9781450384780. doi:10.1145/3462203.3475891

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Official URL: http://dx.doi.org/10.1145/3462203.3475891

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Abstract

Participatory budgeting (PB) is already well established in Scotland in the form of community led grant-making yet has recently transformed from a grass-roots activity to a mainstream process or embedded ‘policy instrument’. An integral part of this turn is the use of the Consul digital platform as the primary means of citizen participation. Using a mixed method approach, this ongoing research paper explores how each of the 32 local authorities that make up Scotland utilise the Consul platform to engage their citizens in the PB process and how they then make sense of citizens’ contributions. In particular, we focus on whether natural language processing (NLP) tools can facilitate both citizen engagement, and the processes by which citizens’ contributions are analysed and translated into policies.

Item Type: Conference Item (Paper)
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title: GoodIT '21: Proceedings of the Conference on Information Technology for Social Good
Publisher: ACM
ISBN: 9781450384780
Book Title: Proceedings of the Conference on Information Technology for Social Good
Official Date: 9 September 2021
Dates:
DateEvent
9 September 2021Published
10 July 2021Accepted
Page Range: pp. 317-320
DOI: 10.1145/3462203.3475891
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 17 August 2022
Funder: Alan Turing Institute for Data Science and AI (grant no. EP/N510129/1), EPSRC Impact Acceleration Fund (grant no. G.CSAA.0705)
Conference Paper Type: Paper
Title of Event: International Conference on Information Technology for Social Good (GoodIT)
Type of Event: Conference
Location of Event: Rome, Italy
Date(s) of Event: 9-11 Sep 2021

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