2nd prize in 2025

Model inference and uncertainty quantification in complex resistivity imaging 

Joost Hase
University of Bonn, Institute of Geosciences

Joost Hase from the Institute of Geosciences at the University of Bonn received second place in the ABC/J Research Prize for Early Career Scientists. His work introduces innovative methods for model inference and uncertainty quantification in Complex Resistivity Imaging (CRI) based on Induced Polarization (IP) measurements—a key tool in subsurface investigations.

Hase developed a robust probabilistic workflow that enhances both image accuracy and uncertainty estimates. A key innovation is the conversion of time-domain IP data into the frequency domain with minimal assumptions and precise error propagation. This is followed by a Bayesian inversion framework that systematically incorporates data and prior uncertainties. Applications range from permafrost studies to hydrogeology and environmental monitoring, underlining the broad relevance of his research for understanding and managing the subsurface.