Mathematical models are imperfect because they are based on our flawed understanding of the world and they often rely on unknown or immeasurable information. Uncertainty Quantification is concerned with understanding and calculating the uncertainties inherent in such scientific problems. For example, we might use mathematical models that allow us to predict climate change, but the models used can only approximate the real world and so the results from the model will be uncertain.
Researchers at The University of Nottingham are focusing on Uncertainty Quantification to improve our predictions of climate change and its impacts, and assessing the safety of geological disposal of radioactive wastes and carbon capture/storage schemes.
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Professor Ian Dryden
School of Mathematical Sciences
University of Nottingham
The University of NottinghamUniversity Park
Nottingham, NG7 2RD
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