Cover Image for Data-Driven Climate Governance: Mobilization, AI, and Resilience for Climate Adaptation
Cover Image for Data-Driven Climate Governance: Mobilization, AI, and Resilience for Climate Adaptation
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Data-Driven Climate Governance: Mobilization, AI, and Resilience for Climate Adaptation

Hosted by Laryssa Nunes & 3 others
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About Event

​How can different approaches to data production and use strengthen climate governance, adaptation, and community resilience?

​During New York Climate Week 2026, Instituto Decodifica and Columbia Global Center Rio will bring together representatives from civil society, government, academia, philanthropy, and community organizations for a multisectoral dialogue on the role of data and technology in strengthening climate adaptation and resilience.

​The conversation will explore how different approaches to producing and using data, including Citizen-Generated Data (CGD), monitoring systems, and IA, can support more effective and inclusive public policies and decision-making.

​The discussion will build on two initiatives developed in Brazil. Instituto Decodifica’s Retratos das Enchentes uses Citizen-Generated Data to document the impacts of flooding in peripheral communities and support the development of adaptation responses based on local priorities. Columbia Global Center Rio’s AI-enabled climate preparedness initiative explores the use of artificial intelligence, early warning systems, and community-generated data to strengthen communication between residents and public authorities.

​Following the presentation of the two initiatives, participants will take part in a multisectoral discussion to exchange perspectives, identify shared challenges and opportunities, and explore potential areas for collaboration.

​September 22, 2026 | 10:00 a.m. to 12:00 p.m.

​Columbia University, International Affairs Building, Room 802

​420 W 118th St, New York, NY 10027

Location
International Affairs Building
420 W 118th St, New York, NY 10027, USA
International Affairs Building, Room 802
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