The overall goal of SIMBAD is to advance the state-of-the-art in ATM performance modelling through the combination of model-based approaches and data-driven methods, taking advantage of the opportunities opened by recent advances in big data technologies and data science.

The objective for the project is the exploration of highly automated XAI scenarios through validation activities and Visual Analytics (VA), in order to identify needs and strategies to address transparency and explainability in the operational cases considered, paving the way for the application of these AI/ML technologies in ATM environments.