bowling green
Bowling Green
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bowling green
Bowling Green
BG2050
Much like Shin Tokyo 2050 Broad Listening, using AI for long-term visioning broad listening.
https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd1412
GPT5.icon
Just a quick point 👇.
What article?
Case study of Bowling Green, Kentucky (population approx. 75,000, projected to double in 25 years), where citizen feedback was collected by Polis and summarized and categorized by Jigsaw's AI tool Sensemaker for the "BG2050" long-term plan (published 4/15/2025). ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
implementation method
Conducted a one-month online dialogue "What Could BG Be?" Approximately 8,000 people participated, voting for and against thousands of unique proposals over 1 million times. Input is open-ended design. ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Role of AI (Sensemaker)
Automatically clusters submissions into 12 topics and 72 subtopics to visualize support and polarization (mixed opinion). Generates reports in minutes, shortening analysis that would otherwise take days or weeks. ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Major Findings
A surprisingly wide agreement was found with the majority (2,370) having an agreement rate of over 80%. In addition to transportation and roads, nightlife/entertainment, art and festivals, green space, and community pride emerged as priorities. ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Differentiation of interest between K-12 and higher education (practical skills education vs. economic impact of college). ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Local context + human review is essential (e.g., understanding the background of riverfront development). ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Impact measurement (post-questionnaire)
Seventy percent of participants said that they felt more confident that their voices would be heard, and 83% said that they had a better understanding of different perspectives / better planning. Leaders rated the report as saving an average of 28 days of man-hours. ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Scale Effects
Enables incorporation of almost 80 times the number of citizens into a plan originally considered by 100 leaders. Suggests lateral expansion to other cities as a prototype for large-scale, continuous consensus building. ([Medium https://medium.com/jigsaw/how-one-of-the-fastest-growing-cities-in-kentucky-used-ai-to-plan-for-the-next-25-years-3b70c4fd 1412])
Suggestion (if you want to put it into practice).
1. design questions broadly and freely, and collect a large number of evaluations (pros and cons)
2. quickly summarize, cluster, and map agreement and conflict with AI
3) Interpret with local knowledge and take measures from high-consensus areas, and dig deeper in polarized areas.
4. measuring psychological and administrative effects through post-event questionnaires - quantitatively demonstrating "a sense of having one's voice heard" and usefulness in decision-making (also effective in providing a budgetary basis)
If necessary, we will create prompt design and dashboard indicators (consensus rate, mixed opinion level, topic granularity, geographic tags, etc.) for this BG case study in a ready-to-use template for Japanese local governments/organizations.
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This page is auto-translated from /nishio/ボーリンググリーン using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I'm very happy to spread my thought to non-Japanese readers.