1. Advances in classical statistics relevant to the geosciences.- 2. Frontier statistics.- 3. Compositional data analysis applied to geochemistry.- 4. Data assimilation in geosciences.- 5. Machine learning in geoscience applications.- 6. Spatiotemporal analysis: structural complexity and extreme behaviour. -7. Parameterization of soil systems at different scales.- 8. Fractals, chaos and complexity in the earth system.- 9. Remote sensing a changing world.- 10 Radar remote sensing for the detection, monitoring and modelling of ground instabilities.- 11. Geographic information systems/geoinformatics.- 12. Quantitative methods in geomorphology and land surface processes.- 13. Deformation modelling, geodynamics and natural hazards.- 14. Hydrogeology: From process understanding to improved predictions. - 15. Quantitative hydrology: working across scientific disciplines and time space scales.- 16. Quantitative environmental geology.- 17. Modelling of energy resources.- 18. New developments in oil and gas discovery modelling.- 19. Open session on mathematics of oil recovery.- 20 Geostatistical priors in inversion of geophysical and engineering data.- 21 Mineral and energy resources for planet earth: Evaluation, extraction and optimal management.- 22 Recent advances in quantitative methods applied to stratigraphy and paleontology.- 23 Geo-mathematical models of folds and folding.- 24. Mathematical geosciences and planetary geology.- 25. Mathematics of planet earth.- 26 Geoscience data models for practical interoperability. -27. Advances on stochastic non linear methods and inverse problems for dynamic models.
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