Data Science to Build Resilience and Improve Humanitarian Response

The Data Science to Build Resilience and Improve Humanitarian Response Thought Summit brings together academic and industry researchers and humanitarian leaders to explore how data science and artificial intelligence can help predict, prevent, respond to, and accelerate recovery from crises in some of the world’s most vulnerable regions.

Hosted by Cornell’s Collaboration for International Development Economics Research (CIDER) in partnership with Cornell’s Center for Data Science for Enterprise and Society, the summit will focus on innovative uses of ever-expanding sources of data, including satellite imagery, weather forecasts, censuses, surveys, community-generated data, and machine learning to improve early warning systems, target humanitarian assistance, and design more impactful aid policies.

By connecting philanthropies and the private sector with Cornell expertise across computer, information, natural and social sciences, the summit aims to spark new research, collaborations, and funding pathways that bring cutting-edge data tools into real-world humanitarian decision-making.