This summer school, focused on the field of collaborative and incremental mining of massive spatio-temporal data, will be composed of 5 thematic days. Each theme will be addressed from the point of view of computer science and information processing, and the point of view of environmental science. The goal is to foster discussions and collaborations amongst the research communities that will be present during the event. The main topics developed during this school will be:

• Introduction to the field of data mining and the issues of data analysis for environmental sciences.

• Temporal aspects of data mining.

• Collaborative and incremental approaches in data mining.

• Use of applicative domains in the process of data mining.

• Challenges of collaborative and incremental data mining, and specific requirements in environmental science.

This school has been selected by CNRS, is supported by the university of Strasbourg, and is co-organised by the EGC society.