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Adapting to Climate Uncertainty through AI-Enabled Microbial System Design

September 23 - September 25

Cornell University – Ithaca, NY

Environmental technology concept. Shutterstock
As climate challenges increasingly impact both natural and built environments, the Adapting to Climate Uncertainty through AI-Enabled Microbial System Design Thought Summit will convene leading thinkers from artificial intelligence, biology, and materials science to chart a roadmap for the AI-driven design of engineered microbial communities. Participants will explore how advances in predictive modeling, biological engineering, and data-driven discovery can enable new approaches to strengthening climate resilience in infrastructure and agriculture. By fostering cross-disciplinary dialogue and collaboration, the summit will identify scientific opportunities, research priorities, and strategic partnerships needed to accelerate innovation and unlock the potential of living systems as adaptive solutions for a changing world.

Organizers

Portrait of Meredith Silberstein

Meredith Silberstein

PI

Professor, Sibley School of Mechanical and Aerospace Engineering, Cornell Duffield Engineering

Portrait of Anil Damle

Anil Damle

Co-PI

Associate Professor, Department of Computer Science, Cornell Bowers

Portrait of Adrienne Roeder

Adrienne Roeder

Co-PI

Professor, School of Integrative Plant Science, Plant Biology Section, Cornell CALS