Review and refine scientific analyses and findings
Partnerships for financing of a local project
Partnerships for co-creation of knowledge and research
Knowledge-sharing on a specific topic, method, and/or output
Capacity building in climate science data and analyses
Mr.
As cities confront escalating climate risks—from heatwaves and flooding to air pollution and infrastructure stress—digital tools and artificial intelligence are increasingly positioned as essential enablers of climate-smart decision-making. Yet the promise of is unevenly realized. Data gaps, governance challenges, limited institutional capacity, and risks to information integrity often prevent digital innovations from translating into equitable and climate-resilient urban outcomes.
This session explores how digital tools and AI can be responsibly harnessed to improve climate data collection, risk modeling, and decision-making at the urban scale—while centering transparency, ethics, and the integration of diverse knowledge systems. It will examine how cities can move beyond extractive or technocratic models of “smartness” toward participatory, systems-based approaches that reflect lived realities, local expertise, and community priorities.
The discussion will highlight emerging practices that combine advanced analytics—such as AI-driven climate risk modeling, remote sensing, and real-time environmental monitoring—with community-generated data, Indigenous knowledge,
Joshua Ernest
