The scope of this event includes both theoretical and practical themes related to data-driven analysis of extreme events. The topics of interest of the workshop include (but are not limited to):
- Machine Learning Models for Event Prediction
- Data Mining approaches for Event Detection
- Event and Extreme Event Formalization and Modeling
- Systems to support Event Detection and Prediction
- Complex Event Detection Systems
- Spatiotemporal Event Analysis
- Event analysis on social media
- Detecting events from social media
- Observational Data Management approaches
- Physics-Informed Neural network approaches for Extreme Event Analytics
- Deep Learning approaches for Event Analytics
- Data Lake to support observation data management
- Machine Learning Systems in support of Event detection and prediction
- IoT processing for Event Analytics
- Knowledge graphs for Extreme Events
- Anomaly detection
- Real-time Event Analytics
- Characterization and explainability of Extreme Events Predictions
- Domain-specific event analysis
- Event recommendation