Hydroinformatics: Integrating Data and Models -- Some Future Prospects in Hydroinformatics -- Data-Driven Modelling: Concepts, Approaches and Experiences -- Artificial Neural Network Models -- Neural Network Hydroinformatics: Maintaining Scientific Rigour -- Neural Network Solutions to Flood Estimation at Ungauged Sites -- Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques -- Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling -- Visualisation of Hidden Neuron Behaviour in a Neural Network Rainfall-Runoff Model -- Correction of Timing Errors of Artificial Neural Network Rainfall-Runoff Models -- Data-Driven Streamflow Simulation: The Influence of Exogenous Variables and Temporal Resolution -- Groundwater Table Estimation Using MODFLOW and Artificial Neural Networks -- Neural Network Estimation of Suspended Sediment: Potential Pitfalls and Future Directions -- Models Based on Fuzzy Logic -- Fuzzy Logic-Based Approaches in Water Resource System Modelling -- Fuzzy Rule-Based Flood Forecasting -- Development of Rainfall-Runoff Models Using Mamdani-Type Fuzzy Inference Systems -- Using an Adaptive Neuro-fuzzy Inference System in the Development of a Real-Time Expert System for Flood Forecasting -- Building Decision Support Systems based on Fuzzy Inference -- Global and Evolutionary Optimization -- Global and Evolutionary Optimization for Water Management Problems -- Conditional Estimation of Distributed Hydraulic Conductivity in Groundwater Inverse Modeling: Indicator-Generalized Parameterization and Natural Neighbors -- Fitting Hydrological Models on Multiple Responses Using the Multiobjective Evolutionary Annealing-Simplex Approach -- Evolutionary-based Meta-modelling: The Relevance of Using Approximate Models in Hydroinformatics -- Hydrologic Model Calibration Using Evolutionary Optimisation -- Randomised Search Optimisation Algorithms and Their Application in the Rehabilitation of Urban Drainage Systems -- Neural Network Hydrological Modelling: An Evolutionary Approach -- Emerging Technologies -- Combining Machine Learning and Domain Knowledge in Modular Modelling -- Precipitation Interception Modelling Using Machine Learning Methods - The Dragonja River Basin Case Study -- Real-Time Flood Stage Forecasting Using Support Vector Regression -- Learning Bayesian Networks from Deterministic Rainfall-Runoff Models and Monte Carlo Simulation -- Toward Bridging the Gap Between Data-Driven and Mechanistic Models: Cluster-Based Neural Networks for Hydrologic Processes -- Applications of Soft Computing to Environmental Hydroinformatics with Emphasis on Ecohydraulics Modelling -- Data-Driven Models for Projecting Ocean Temperature Profile from Sea Surface Temperature -- Model Integration -- Uncertainty Propagation in Ensemble Rainfall Prediction Systems used for Operational Real-Time Flood Forecasting -- OpenMI - Real Progress Towards Integrated Modelling -- Hydroinformatics - The Challenge for Curriculum and Research, and the "Social Calibration" of Models -- A New Systems Approach to Flood Management in the Yangtze River, China -- Open Model Integration in Flood Forecasting.