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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
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) | ||||||
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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: |
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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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