VRAKA – a probabilistic risk assessment method for potentially polluting shipwrecks by Hanna Landquist, Lars Rosen, Andreas Lindhe, Ida-Maja Hassellöv

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Deep Learning for Deep Waters: An Expert-in-the-Loop Machine Learning Framework for Marine Sciences by Igor Ryazanov, Amanda T. Nylund, Debabrota Basu, Ida-Maja Hassellöv, Alexander Schliep

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Exposure to closed-loop scrubber washwater alters biodiversity, reproduction, and grazing of marine zooplankton by Christina Jönander, Jenny Egardt, Ida-Maja Hassellöv, Peter Tiselius, Matilda Rasmussen, Ingela Dahllöf

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Hydrographical implications of ship-induced turbulence in stratified waters, studied through field observations and CFD modelling by Amanda T. Nylund, Ida-Maja Hassellöv, Anders Tengberg, Anders Tengberg, Rickard Bensow, Göran Broström, Martin Hassellöv, Lars Arneborg

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A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck by Payam Amir-Heidari, Lars Arneborg, J. Fredrik Lindgren, Andreas Lindhe, Lars Rosén, Mohammad Raie, Lars Axell, Ida-Maja Hassellöv

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