Water resilience through digitalisation

Santa Maria, Cuba - Oct 20, 2025

Context

Climate change and hydrological variability pose imminent challenges in water resources management, especially in watersheds of developing countries. The integration of IoT-based monitoring systems - using water level sensors in rivers and reservoirs, rainfall measurement and water quality analysis - with advanced computational methods and artificial intelligence algorithms, allows the development of robust predictive models to anticipate hydroclimatic risks, droughts and other critical phenomena. This workshop aims to present solutions and exchange experiences in the development, implementation and analysis of data resulting from the application of these technologies, facilitating the formulation of comprehensive strategies for sustainable watershed management in correspondence with SDG 6 Water.

General Objective

To foster interdisciplinary and international research and innovation through digitization for water management applications, we aim to share recent developments and best practices in the use of long-range IoT technologies, dataloggers, computational methods and artificial intelligence models for the monitoring and prediction of hydrological phenomena, optimizing the integrated management of water resources in watersheds of developing countries. We also aim to build international collaborations and to develop concept notes for joint application for research and capacity development projects.

Themes

● Hydrological modeling and hydroclimatic risks considering climate change.

● Design and construction of dataloggers for hydraulic and environmental sensors.

● Computational methods and AI algorithms for hydrological prediction.

● Interdisciplinary project workshop and development of real application proposals.