# Model-Data Integration in Physical Systems

Created: | 2014-03-20 16:43 |
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Institution: | Isaac Newton Institute for Mathematical Sciences |

Description: | 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. |

# Media items

This collection contains 14 media items.

### Media items

#### Analysis and interpretation of single molecule force spectroscopy experiments

Brujic, J (New York University)

Tuesday 18 March 2014, 12:15-12:55

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Dimension reduction, coarse-graining and data assimilation in high-dimensional dynamical systems: modeling and...

Vanden-Eijnden, E (Courant Institute of Mathematical Sciences)

Monday 17 March 2014, 09:10-09:50

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Thu 20 Mar 2014

#### Extracting spatiotemporal patterns from data with dynamics-adapted kernels

Giannakis, D (New York University)

Tuesday 18 March 2014, 11:30-12:10

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Filter divergence and EnKF

Kelly, D (University of North Carolina)

Tuesday 18 March 2014, 09:55-10:35

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Filtering partially observed chaotic deterministic dynamical systems

Sanz-Alonso, D (University of Warwick)

Monday 17 March 2014, 15:15-15:55

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Gaussian mixture transition models for identification of slow processes in molecular kinetics

Wu, H (Freie Universität Berlin)

Tuesday 18 March 2014, 15:15-15:55

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Gaussian process regression in molecular modelling

Csanyi, G (University of Cambridge)

Monday 17 March 2014, 09:55-10:35

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Thu 20 Mar 2014

#### Implicit particle methods for high dimensional highly nonlinear systems

Miller, R (Oregon State University)

Monday 17 March 2014, 12:15-12:55

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Modeling of unresolved scales with data-inferred stochastic processes

Crommelin, D (Centrum voor Wiskunde en Informatica (CWI))

Monday 17 March 2014, 11:30-12:10

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Multi model mixture density estimators & information theory for stochastic filtering and prediction

Branicki, M (University of Edinburgh)

Tuesday 18 March 2014, 16:50-17:30

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Particle filters for very high dimensional systems

van Leeuwen, P (University of Reading)

Tuesday 18 March 2014, 09:10-09:50

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Projecting multiscale processes and an approach to clustering of directed networks

Sarich, M (Freie Universität Berlin)

Tuesday 18 March 2014, 14:30-15:10

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Fri 21 Mar 2014

#### Transition path processes

Lu, J (Duke University)

Monday 17 March 2014, 16:50-17:30

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Thu 20 Mar 2014

#### Using evolutionary sequence variation to make inferences about protein structure and function

Colwell, L (University of Cambridge)

Monday 17 March 2014, 14:30-15:10

**Collection**:
Model-Data Integration in Physical Systems

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Thu 20 Mar 2014