The session invites original contributions on a wide range of
environmental applications, such as renewable energy, resource management, ecosystem
services, land and forest use, agriculture and food production, water cycle,
air quality, climate change and its societal impacts based on hybrid approaches.
The techniques include, but are not limited to, exploratory [Big] data
analysis, dataset summarization, explainable feature engineering, hybrid models
and joint prediction and explanation, backward propagation and proxy models,
intelligent data analysis and its combination with process-based simulations and
computational modelling, exploratory and confirmatory analysis. Hybrid
frameworks and techniques, success stories of their application and lessons
learned are of special interest.