Artificial intelligence for disaster risk reduction


From early warning systems to evacuation models, artificial intelligence is behind a number of promising innovations for disaster risk reduction.

Wildfires are a worldwide problem requiring global collaboration to successfully manage and minimise the risk of occurrence. Artificial intelligence algorithms, combined with end-to-end fire management systems, are powerful tools for combating wildfires.
World Economic Forum
Deep-learning models can be trained to assess the magnitude of mega earthquakes in real time.
Los Alamos National Laboratory
A new study by researchers from Hiroshima University introduced a novel artificial intelligence (AI)-based technique for estimating site amplification factors from data on ambient vibrations or microtremors of the ground.
Hiroshima University
Space view of a hurricane over the ocean
A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
Eos - AGU
A large wave crests off the coast of Sydney, Australia
A reliable early warning system to detect tsunamis could be a step closer thanks to research from Cardiff University.
Cardiff University
Large amounts of data and new methods and technologies with which to analyze them. The new frontier of machine learning – a branch of artificial intelligence – at the service of climate studies, in research by the CMCC Foundation and Ca’ Foscari University .
Centro Euro-Mediterraneo sui Cambiamenti Climatici