AI.BIG Cluster: AI and Big Data
Analysis for emergency situation and Extreme Data exploitation
Today, the world faces increasing challenges posed by natural disasters and emergencies that threaten human life and the environment. However, the advent of artificial intelligence and megadata analysis has brought a glimmer of hope to the way we approach and manage these critical events.
Accuracy, Prediction and Prevention
The predictive capabilities of AI combined with Big Data analysis have dramatically improved the accuracy of natural disaster forecasts. Sophisticated models exploiting predictive algorithms make it possible to anticipate and prevent certain events, offering an opportunity for increased preparedness and faster response. These projects aim to revolutionize the way emergency situations are managed, and equip authorities and humanitarian organizations with advanced tools to deal effectively with these crises.
The projects involved in the cluster, funded under the HORIZON-CL4-2022-DATA-01-01 call
Machine learning for early warning systems
These systems use data to detect early warning signals of impending disasters. This enables early warnings to be triggered, giving populations and authorities the time they need to prepare and react. These technologies will be tested in several Use Cases, such as :
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Weather Emergencies
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Health Crisis
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Maritime Emergencies
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Increased Cybersecurity
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Transportation analysis and visualization
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Flash flood forecasting and management
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Forest fire prediction and management
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Social Media Analytics for Situational Awareness
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Real-time Resource Management and Allocation