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Use case · 2024 · Panama

Climate Scenario Planning, Panama

Youth-authored climate priorities for the city.

Two university sessions in Panama City tested a pair of hypotheses: that AI boosts citizen participation, and that generative AI improves climate scenario planning. At the first session, 66 young people generated 531 images across three structured rounds — dystopia, utopia, open imagination — plus 49 geolocated street transformations of the Betania district, from Parque Benito Juárez to Vía Ricardo J. Alfaro. Post-workshop surveys backed both hypotheses: identification with the AI outputs scored 4.57 out of 6 and usefulness for participation 5.09 out of 6.

Street map of Panama City, Panama.

Map data © OpenStreetMap contributors

2 sessions, one engagement

  1. 01Workshop2024-03-26Panama City, Panama
  2. 02Workshop2024-05-27Panama City, Panama190 participants
Climate Scenario Planning, Panama

Who took part

Youth at Universidad de Panamá and Universidad Tecnológica de Panamá — 66 participants at the first session, 59 of them active app users.

What the tool did

A guided three-round scenario sequence in Spanish with prompt taxonomies and rating, producing a 16-page workshop report with per-round results; where participant photos fell short, UNDP’s photo bank and street imagery filled the “before” layer.

What changed

UNDP folded the Betania work into a wider social-cohesion experiment mixing students and seniors, and named the platform in its 2025 “Cities in Motion” retrospective.

We delivered this project under the brand name of UrbanistAI, in our previous collaboration.

Pictures

Site photo from Betania uploaded by participants
Roadside site in Betania before the intervention

Reports, media and links

On the record.

What others wrote about this work, and where to read more. Each entry opens the original.