Jo Eidsvik, Department of Mathematical Sciences, NTNU
Steinar Ellefmo, Department of Geoscience and Petroleum, NTNU
The international association of Mathematical Geosciences (IAMG) conference will take place in Trondheim 5-12 August, 2023 (https://www.iamgconferences.org/iamg2023/). This is an annual conference to promote, worldwide, the advancement of mathematics, statistics and informatics in the geosciences. The goal is further to spark international cooperation in the geoscience applications and the use of mathematical sciences in geological research and technology.
We estimate that 200 mathematical geoscientists meet in Trondheim in August. Following the tradition, the weekends before and after the workshop are used for short-courses and field trips, while the weekdays are used for oral presentations and posters, where researchers from academia and companies can share new results and learn from each other.
At this year’s event, we are happy to have three keynote speakers that cover wide topics in mathematical geosciences. Inga Berre (University of Bergen) will present new ideas around mathematical modeling of coupled processes in geothermal systems. Michael Pyrcz (University of Texas at Austin) will present approaches for data analytics and machine learning for geostatistics. Andras Bardossy (University of Stuttgart) will present non-linear and non-Gaussian geostatistical models using copulas. In addition, IAMG awardees will give presentations at the conference.
The thematic core of the conference will circle around data exploitation, modelling, and management in a world of ever-increasing amounts of geodata. Predictions, whether it is data or model driven, must be communicated. We therefore wish to highlight how mathematical geosciences have been and should be communicated across scientific boundaries. We are looking forward to workshops, excursions and field trips, presentations, and scientific and social discussions.
In addition to several overall themes of mathematical geosciences such as geologic modelling, geostatistics, compositional data analysis, geometallurgy, uncertainy quantification, geophysics and inversion, there are 24 contributed sessions at the conference. These are submitted from active IAMG member and highlight narrower subjects within new methodologies (such as machine learning and AI related analysis of select data) or within rapidly developing application domains (such a CO2 storage and geo-energy resources).
