In the dynamic landscape of water management, two prevailing modelling approaches—data-driven and mechanistic—have emerged. While each approach brings distinct advantages, they also carry inherent limitations. Recognizing the need for a comprehensive solution, the concept of hybrid modelling has emerged, aiming to synergize the strengths of both methodologies. This session serves as a comprehensive exploration, providing an overview of the current position of hybrid modelling in the modeling landscape, charting the future trajectory, and offering early practical guidelines for the integration of good modeling practices. Throughout the session, we will showcase real-world applications encompassing data-driven, mechanistic, and hybrid modeling. By delving into the distinctive features of each approach and elucidating potential pitfalls, attendees will gain an understanding of when to leverage specific features and conditions to avoid. Join us in this exploration of cutting-edge modeling practices, where we navigate the convergence of methodologies, paving the way for a more robust and adaptable approach to solving complex water sector challenges. 

This session is intended to serve as an inspiration for the water community to share and exchange their experiences to create common standards for the future of hydroinformatics.