Workshop highlights applications of data assimilation in dynamical systems and uncertainty quantification.
Data assimilation, where predictions from a dynamical system are updated sequentially based on new and incomplete observations, is increasingly finding applications in many areas of science and technology. This workshop brought together a collection of scientists from dynamical systems, statistics, machine learning, applied probability, uncertainty quantification, and mathematical modelling, as well as practitioners in the field.
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Wiljes et al. (2025) studied this question.
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