| EVENT | DESCRIPTION |
|---|---|
| Expert training #1 |
Join us at the first expert training to learn more about the state of the art in physically-based flood models and how AI can help speed up and streamline flood modelling. Experts from TU Delft, IHE Delft and TUHH will guide participants through interactive presentations and discussions. The event is free and open to all.
Register here: Closed
|
| ARTIFACT Summer school #1 |
Summer School on AI-based urban flood risk models under climate change at IVI: this summer school will blend lectures devoted to theoretical concepts underlying AI-based flood models. It will be organised as 5-day event with interactive lectures and workshops. Register here: Closed |
| Expert training #2 |
The second expert training was held on 28 November 2025. Participants learned about data collection and processing workflows required for 2D flood simulations, as well as real-world applications of urban flood modelling tools such as MIKE+. The event helped participants strengthen their understanding of how reliable data and modern modelling tools support accurate flood simulations in urban environments. Experts from TU Delft, IHE Delft and TUHH guided the session through interactive presentations and discussions. Free and open to all. Register here: Closed |
| ARTIFACT Summer school #2 |
The Summer School is a five-day programme in the Netherlands focused on AI-based urban flood risk modelling under climate change. Participants will engage in interactive lectures, hands-on workshops and group exercises covering AI methods for flood modelling, data preparation, model building and evaluation. The programme introduces modern deep-learning techniques, such as RNNs, CNNs, Graph Neural Networks and Transformers, and their application to urban drainage and flood prediction. Special program will be organised for Early-Stage Researchers. Summer school will be free (with mandatory registration due to limited slots) and open to domestic or international researchers. Register here: Closed |
| Expert training #3 |
The third expert training focused on deep learning for spatio-temporal flood modelling. Participants learned how AI techniques can be applied to flood simulations, including dike and levee-breach flooding and urban drainage modelling. The training helped participants strengthen their understanding of how deep-learning methods can support flood risk assessment and improve the efficiency of flood modelling. Experts shared their knowledge through presentations and a Q&A session. Register here: Closed |
| Expert training #4 |
The fourth expert training focused on urban Nature-Based Solutions (NBS) for flood risk management. Participants learned how solutions such as green roofs, rain gardens and permeable pavements can help reduce urban flood risks, as well as how these measures can be integrated into hydrological and hydraulic models. The training helped participants understand how nature-based approaches, modelling tools and AI can support sustainable urban flood management. Experts shared their knowledge through presentations, practical modelling demonstrations and interactive discussions. Find more info on the Expert Training 2026 – Part 2 page. |
Eventsveljkoivi2026-10-09T12:08:12+00:00


