Machine Learning for Disaster Risk Management: A guidance note on how machine learning can be used for disaster risk management, including key definitions, case studies, and practical considerations for implementation

This document can also be found on the official website of The Global Facility for Disaster Reduction and Recovery (GFDRR) at: This guidance note explores how new approaches in machine learning can provide new ways of looking into these complex relationships and provide more accurate, efficient, and useful answers. The goal of this document is to provide a concise, demystifying reference that readers, from project managers to data scientists, can use to better understand how machine learning can be applied in disaster risk management projects. This resource is part of the collection "Digitalizing humanitarian action". Collections are monitored daily and new content is added.