Climate Scenario Planning, Panama
Youth-authored climate priorities for the city.

Their own coastline, under the future.

The waterfront todayClimate scenario · by the studentsImagine · UNDP Panama Accelerator Lab · 2024
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.
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.



Sources
- Bringing communities together through AI-driven urban planning — UNDP — undp.org
- Cities in Motion — UNDP Accelerator Labs — acclabs.medium.com
Delivered together with project partners.