The main aim of this Symposium is to foster discussion and collaboration among environmental and industrial scientists and professionals on cutting-edge computational modelling technologies for AI-based predictive models. In particular, it will cover fundamental research areas on reduced-order methods, machine learning algorithms, sensitivity and uncertainty methods, optimisation and data assimilation methods for single/multi-physics problems. Contributions are sought on, but not limited to, the following topics: (a) Computational structural/fluid/radiation dynamics; (b) Predictive methods for sensitivity and uncertainty quantification and data assimilation; (c) Coupling models for multi-physics problems; (d) Parallel numerical algorithms for large scale simulations.