Directing ML toward natural hazard mitigation through collaboration

Posted by Oren Gilon, Software Engineer, and Grey Nearing, Research Scientist, Google Research

Floods are the most common type of natural disaster, affecting more than 250 million people globally each year. As part of Google's Crisis Response and our efforts to address the climate crisis, we are using machine learning (ML) models for Flood Forecasting to alert people in areas that are impacted before disaster strikes.

Collaboration between researchers in the industry and academia is essential for accelerating progress …

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