Program En hora local del evento

Day 1: It comes from supercomputers. 

1. Delivering weather forecasts on a mobile app. 
2. Diverse and different cultural aspects in computational environmental science. 
3. Operational environmental modelling. 
4. Scientific workflows as orchestration tools for models, data converters, processors, A.I. components, and visualizers. 

Day 2: Citizen science. 

1. Introducing citizen science and the participative data gathering.
2. Artificial Intelligence in environmental risks and phenomena.
3. Real-world use cases such as weather pattern recognition; medicane early detections, and predicting mussel farm contamination. 
4. WaComM++ Lagrangian model for inert transport and diffusion and deep neural network-based time series classification.