Big and Thick Data for Climate Security

Climate security and environmental peacebuilding analysis have a small data problem. While big data can read past patterns and predict future impacts from climate and conflict based on predictive analytics and anticipatory action analysis, conflict data is just too granular, too qualitative. This presentation therefore proposes a "big data, thick data" approach to climate security based on machine learning and systems thinking.

Organizer: CDA Collaborative

Speaker: Dr. Siad Darwish, CDA Collaborative

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This session was part of the Data for Peace 2023: Using Data to Foster Peace Conference over October 16-20, 2023, a five-day hybrid event with national and international experts in the data for peacebuilding and prevention ecosystem to facilitate peer-to-peer exchange and leverage emerging technologies and data science methods to tackle the growing challenges across the humanitarian-development-peace and climate nexus globally.

This event was hosted by the NYU Center on International Cooperation and supported by the Complex Risk Analytics Fund (CRAF’d) and its partners, with the in-person segment of the event hosted at Google's NYC office.