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Good practice Imported

Scaling Scotland's Nationwide Participatory Budgeting with NLP on the Consul Platform

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Evidence: Observational / pre–post Top 6% 87/100 · Ask Evidence Copilot about this practice

Under a Scottish Government–COSLA framework requiring at least 1% of council budgets to go through participatory budgeting, researchers evaluated NLP tools on the Consul platform across 32 local authorities; by 2023 councils had exceeded the target, channelling £154m through PB.

154 GBP million
Council budget allocated through participatory budgeting (by 2023)
110,000+ people
People who directly participated in deciding PB spending (by 2023)
1.4 %
Share of eligible council budgets allocated via PB (2023)

Details

Maturity
Scaling
Promoter
Scottish Government & COSLA (Convention of Scottish Local Authorities)
Period
2017–ongoing (PB framework); NLP evaluation 2019–2021
Keywords
participatory budgeting, civic tech, local government policy, machine learning research

Context

In 2017 Scotland's local authorities and the Scottish Government agreed a framework committing at least 1% of local government budgets to participatory budgeting (PB), reaffirmed in a revised 2021 Framework Agreement between the Scottish Government and COSLA (Convention of Scottish Local Authorities).

Objectives

To help PB scale consistently across all 32 Scottish local authorities at once, a research team from the University of Warwick, the Alan Turing Institute and the University of Oxford evaluated NLP tools on the Consul digital platform used for mainstream Scottish PB.

Activities

The team used a qualitative longitudinal design combining interviews, process observation and platform-data analysis across live PB study sites to assess whether NLP could ease the scaling challenges of running PB nationwide.

Results

By the milestone reported in 2023, more than 110,000 people had taken part and directly decided how £154 million of council budgets were spent, reaching 1.4% of eligible budgets — above the original 1% target — across all 32 local authorities. The researchers' initial results suggest scaling challenges 'may be tackled using NLP technology,' which had previously shown improved citizen-participation effectiveness in a controlled use-case evaluation.

Conclusions

The NLP findings are explicitly framed by the authors as preliminary; the strongest, independently verified evidence concerns the PB programme's national scale and mainstreaming (COSLA's published spend and participation figures), while the AI layer's effectiveness is still being established through ongoing academic study rather than a completed government evaluation.

Implementation

Indicative cost
Medium (€50k–€500k) — No specific technology budget disclosed; costs are distributed across 32 local authorities' PB processes plus externally funded academic research (Warwick/Turing Institute/Oxford), not a single central procurement figure.
Time to results
Long (> 3 years) — Framework agreed 2017 (target end of 2021), reaffirmed 2021; NLP evaluation conducted 2019–2021; milestone results reported 2023.
Staffing & skills
Scottish Government and COSLA (joint framework owners), 32 Scottish local authorities (implementing bodies), Academic research team: University of Warwick, Alan Turing Institute, University of Oxford (Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He)

Conditions for success

  • A binding, jointly-owned national-local Framework Agreement with a numeric target (1% of budgets)
  • An existing open-source civic-tech platform (Consul) to layer NLP tools onto
  • Sustained multi-year political commitment across 32 authorities

Common failure modes

  • NLP effectiveness is still only 'initial results' from an ongoing academic study, not a completed evaluation
  • Scaling to 32 authorities simultaneously creates volume/process variation that the NLP layer is meant to address but has not yet been shown to solve

Where it fits

Governance type
national-local government partnership (devolved government + local authorities)
Scale
national (all 32 Scottish local authorities)
Income level
high-income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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