Model-Data Integration in Physical Systems: Recent Episodes

Cambridge University

The workshop is concerned with the subject of blending observational data with complex models, primarily in the physical sciences, with the aim of making improved predictions. The increasing complexity of phenomena that scientists and engineers wish to model, together with our increased ability to gather, store, and interrogate data, mean that the subjects of applied mathematics and statistics are increasingly required to work in conjunction in order to significantly progress understanding.

Applications are far reaching and include the atmospheric sciences, geophysics, chemistry and signal processing. The workshop will bring together experts reflecting applied, computational, methodological and theoretical aspects of the subject area.

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Branicki, M (University of Edinburgh) Tuesday 18 March 2014, 16:50-17:30

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Giannakis, D (New York University) Tuesday 18 March 2014, 11:30-12:10

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Sarich, M (Freie Universität Berlin) Tuesday 18 March 2014, 14:30-15:10

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van Leeuwen, P (University of Reading) Tuesday 18 March 2014, 09:10-09:50

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Kelly, D (University of North Carolina) Tuesday 18 March 2014, 09:55-10:35

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Wu, H (Freie Universität Berlin) Tuesday 18 March 2014, 15:15-15:55

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Crommelin, D (Centrum voor Wiskunde en Informatica (CWI)) Monday 17 March 2014, 11:30-12:10

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Miller, R (Oregon State University) Monday 17 March 2014, 12:15-12:55

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Brujic, J (New York University) Tuesday 18 March 2014, 12:15-12:55

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Sanz-Alonso, D (University of Warwick) Monday 17 March 2014, 15:15-15:55

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Lu, J (Duke University) Monday 17 March 2014, 16:50-17:30

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Csanyi, G (University of Cambridge) Monday 17 March 2014, 09:55-10:35

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Vanden-Eijnden, E (Courant Institute of Mathematical Sciences) Monday 17 March 2014, 09:10-09:50

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Colwell, L (University of Cambridge) Monday 17 March 2014, 14:30-15:10