IAMG2025
The 23. annual conference of the IAMG
October 08 - 13, 2025, Zhuhai, China
23rd Annual Conference of the International Association for Mathematical Geosciences

News

2025-July-14: Login Problems

Due to an intermittent network problem at our web hosting provider, we had problems with generation of invitation letters and first time logins in the last days. We have established a workaround solution which should solve the problem except for new accounts. If you still encounter any problem, please contact the office. This also holds for the new accounts, because I will have to manually add them until the network issues are solved. We're working on a long-term solution. Sorry for the inconvenience.

2025-July-07: Abstract acceptance decisions are finalized!

Please log in to your user account and check under "My submissions" the acceptance decision.

Welcome

It is our great honor to welcome you to Zhuhai in 2025. We are looking forward to workshops, excursions and field trips, presentations, and scientific and social discussions. The thematic core of the conference will circle around Data-driven Discovery in Geosciences. We therefore wish to highlight the important role of big data and artificial intelligence on the transition of Earth system science to a data-intensive paradigm, and should be communicated across scientific boundaries.

Key Topics

  • Artificial Intelligence: A new paradigm for geoscience research
  • Big data and geoscience knowledge graphs
  • Cloud computing and geoscience data analysis
  • Compositional Data Analysis
  • Computational Geodynamics
  • Deep-time Digital Earth
  • Extreme geological events and geoscience big data analytics
  • Education of next generation mathematical geoscientists
  • Fractal/multifractal modelling and its application
  • Geoinformatics
  • Geostatistics
  • Geological process modelling and simulation
  • Geoscience big data platform and computing power
  • Hydrology and Hydrogeology
  • Hyperspectral methods
  • Machine Learning
  • Mathematical geoscientific contribution to global sustainable development
  • Predictive mapping in geosciences
  • Prediction and assessments of resources in frontier regions
  • Quantitative solutions for global change
  • Remote sensing
  • 3D visualization and virtual reality for geoscience