Hydroinformatics has offered novel solutions for water-related challenges that can meaningfully provide integration between big data, system science, and computational intelligence. The goal of this session is to provide an active forum to discuss scientific ideas and technical solutions to the advancement of (i) predictive and analytical models based on computational intelligence, machine learning, and data science, (ii) workflow automation techniques through the use of modern computing, crowdsourced data, sensing, and web services, (iii) methods for the analysis of big datasets, including remote sensing, time series, and synthetic/real-time monitoring data, and (iv) Artificial Intelligence in digital analysis and natural language processing for water resources decision making.

Applications could cover any area of water resources such as rainfall-runoff modelling, sedimentation and stormwater modelling, analysis of meteorological and hydrologic data, coupling numerical weather prediction with hydrologic model, to name a few. Contributions from early-stage researchers, students, women, and minorities are especially welcome.