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Good practice Imported

What Could BG Be? — Bowling Green's AI-Synthesised Public Input for a 25-Year City Plan

United States of America · Bowling Green · See the United States of America profile

Evidence: Descriptive / self-reported Top 51% 60/100 · Ask Evidence Copilot about this practice

Bowling Green, Kentucky used Google Jigsaw's Sensemaker AI to analyse input from ~8,000 residents (about 10% of the population) for its BG2050 city plan, surfacing 2,370 ideas with 80%+ cross-partisan agreement and saving an est. 28 staff work-days vs. manual synthesis.

8000 residents (~10% of city population)
Residents participating (2025)
4000 ideas
Distinct ideas submitted by residents (2025)
2370 ideas
Ideas reaching 80%+ cross-partisan agreement (2025)
28 work-days
Estimated staff time saved vs. manual synthesis (2025)
What Could BG Be? — Bowling Green's AI-Synthesised Public Input for a 25-Year City Plan

Details

Maturity
Pilot
Promoter
City of Bowling Green and Warren County, KY, with Google Jigsaw and Innovation Engine
Period
2025
Keywords
urban planning, civic engagement, public consultation

Context

Bowling Green and Warren County, Kentucky ran a month-long online public-input campaign, 'What Could BG Be?', to shape BG2050, a 25-year comprehensive city plan, built with Google's technology incubator Jigsaw and local firm Innovation Engine.

Activities

The campaign used Jigsaw's Sensemaker, an AI tool that categorises large volumes of open-ended public comment into topics and measures where agreement and disagreement lie across the respondent population. About 8,000 residents — roughly 10% of the city's population — submitted close to 4,000 distinct ideas and weighed in on each other's submissions over a million times combined.

Results

Sensemaker distilled the input into 2,370 discrete ideas that at least 80% of respondents agreed with, cutting across the usual partisan and demographic divides on topics such as parks, housing, mental health and transportation. City and county staff estimated the tool saved an average of 28 work-days of data analysis, synthesis, visualisation and report-writing compared with a manual process.

Conclusions

Officials say findings have already fed into zoning-reform discussions and plan to repeat the exercise annually; this was reported as the first large-scale, real-world proof of concept for Sensemaker. The process still relies on self-reported staff time-savings estimates rather than an independent audit, and there is limited public detail on how AI-clustered ideas were checked against the raw comments before being adopted into planning decisions.

Implementation

Indicative cost
Low (< €50k) — No public budget figure disclosed; the Sensemaker tool was provided via partnership with Google Jigsaw, with local firm Innovation Engine supporting delivery.
Time to results
Short (< 1 year) — Public-input campaign ran for about one month in 2025 as part of the BG2050 planning process; officials plan to repeat it annually.
Staffing & skills
City of Bowling Green and Warren County staff, Google Jigsaw, Innovation Engine (local firm)

Conditions for success

  • Partnering with the tool's own developer (Google Jigsaw) and a local firm for campaign design
  • Achieving broad participation (~10% of the city's population) to give the AI clustering enough signal
  • Framing the exercise around an 80%+ cross-partisan agreement threshold to surface genuinely shared priorities

Where it fits

Governance type
local/county government
Scale
city/county
Income level
high_income

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