  In recent years participatory budgeting (PB) in Scotland has grown from a
handful of community-led processes to a movement supported by local and
national government. This is epitomized by an agreement between the Scottish
Government and the Convention of Scottish Local Authorities (COSLA) that at
least 1% of local authority budgets will be subject to PB. This ongoing
research paper explores the challenges that emerge from this 'scaling up' or
'mainstreaming' across the 32 local authorities that make up Scotland. The main
objective is to evaluate local authority use of the digital platform Consul,
which applies Natural Language Processing (NLP) to address these challenges.
This project adopts a qualitative longitudinal design with interviews,
observations of PB processes, and analysis of the digital platform data.
Thematic analysis is employed to capture the major issues and themes which
emerge. Longitudinal analysis then explores how these evolve over time. The
potential for 32 live study sites provides a unique opportunity to explore
discrete political and social contexts which materialize and allow for a deeper
dive into the challenges and issues that may exist, something a wider
cross-sectional study would miss. Initial results show that issues and
challenges which come from scaling up may be tackled using NLP technology
which, in a previous controlled use case-based evaluation, has shown to improve
the effectiveness of citizen participation.
