“Modeling” can be understood from different aspects, such as earth environment modeling, earth system modeling, geographic modeling, spatial analysis modeling. Although the name and description of these modeling studies vary with their subject contexts, the connotation behind “modeling” stays identical: all models are cognitions of certain aspects of the real world under the premise of scientific hypothesis. It is no doubt that we are unable to build a huge and whole model to reflect all details of the real world. Facing increasingly serious environmental problems, global change challenges, and sustainable development goals, modeling activities in a single field are far from enough. Therefore, it is necessary and important that conducting modeling activities in an open environment, which typically means sharing modeling knowledge in all fields, integrating modeling resources from different subjects and gathering distributed researchers to collaboratively work.
This session provides an opportunity for researchers with different modeling topics to discuss their modeling activities in the aspects of sharing, integrating, reusing and solving practical problems. Practices in improving models to help users better understand and more easily make use of the model, integrating models from multiple subjects with reusable methods, managing models’ versions in an open source way, handling environment data/geographic information to support open style modeling exploration, providing approaches to help researchers collaboratively work together, constructing computing environment/platform for distributed modeling activities, and other related topics are all welcomed to discuss in this session.
Key topics: Open style modelling, Open source model, Modelling with interdisciplinary knowledge, Collaborative modelling