05. June 2025

Joost Hase awarded the ABC/J Research Prize 2025 for Early Career Scientists Joost Hase awarded the ABC/J Research Prize 2025 for Early Career Scientists

Model inference and uncertainty quantification in complex resistivity imaging

Joost Hase from the Geophysics Section at the Institute of Geosciences at University of Bonn has been awarded the second place in the ABC/J Research Award 2025 for Early Career Scientists. His work is entitled “Model inference and uncertainty quantification in complex resistivity imaging”. In his research, he is developing new methods for model-based inversion and uncertainty quantification in complex resistivity imaging (CRI) - a method for imaging electrical properties of the subsurface using induced polarization (IP).

Joost Hase
Joost Hase - Joost Hase, Gewinner des 2. Platzes des ABC/J-Forschungspreises 2025 für Early Career Scientists © Joost Hase
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Joost Hase from the Geophysics Section at the Institute of Geosciences at University of Bonn has been awarded the second place in the ABC/J Research Award 2025 for Early Career Scientists. His work is entitled “Model inference and uncertainty quantification in complex resistivity imaging”. In his research, he is developing new methods for model-based inversion and uncertainty quantification in complex resistivity imaging (CRI) - a method for imaging electrical properties of the subsurface using induced polarization (IP).

His contribution within Prof. Dr. Andreas Kemna's Environmental Geophysics working group presents a comprehensive probabilistic workflow that not only improves the accuracy of subsurface mapping, but also enables reliable uncertainty estimates. A central innovation is the transfer of time-based IP measurements into the frequency domain - with minimal assumption effort and with precise error propagation. Building on this, Joost Hase developed an inverse modeling method based on Bayesian statistics that systematically takes into account both data uncertainties and prior knowledge.

The methods developed are widely used - from the analysis of permafrost changes to hydrological issues and environmental monitoring - and thus make an important contribution to the sustainable exploration and monitoring of the subsurface.

Avatar Hase

M.Sc. Joost Hase PhD student and Research associate

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