Outreach

Highlights innovative and interdisciplinary approaches that strengthen resilience in water, health, and environmental systems. Emphasizes integration of hydroinformatics, AI/ML, remote sensing, ICTs, and socio-economic perspectives to enhance monitoring, forecasting, and decision-making under climate change.

Explores the integration of stakeholder engagement and advanced hydroinformatics techniques — remote sensing, machine learning, AI, and numerical modeling — to address challenges in hydrological sciences and natural hazards. Emphasizing both theoretical advancements and practical applications, particularly those involving co-development of research with decision-makers.

Addresses the challenges of managing water systems across spatial and temporal scales, focusing on hydrological extremes and uncertainty in planning and decision-making. Integrates spatio-temporal analysis and uncertainty management in water networks, highlighting remote sensing, statistical methods, and machine learning to improve prediction, risk assessment, and resilience in both urban and rural contexts.