[Comp-neuro] Summer School/Creative Workshop: Data Assimilation & Inverse Problems - From Weather Forecasting to Neuroscience

(Please note: the following workshop will happen just after the CNS*2013 conference in Paris, and the University of Reading is about an hour of travel away from London Heathrow. So this could be an interesting detour if you are flying in from overseas to attend CNS*2013 anyhow. The workshop is focusing on methods and as the subtitle makes clear, neuroscientists are very welcome. - Ingo)

Summer School/Creative Workshop

Data Assimilation & Inverse Problems

From Weather Forecasting to Neuroscience

July 22-26, 2013, University of Reading, United Kingdom

Data Assimilation is concerned with the reconstruction of the state of a dynamical system from measured data. It is usually employed in a cycled way, where data are used to correct or guide the dynamical system step by step, while forecasts are generated on a desired time grid. This is a key ingredient for important applications, for example for Numerical Weather Prediction (NWP) or predictions of Climate Change, but it is also increasingly employed in medical and industrial applications.

The Summer School and Creative Workshop on Data Assimilation and Inverse Problems at the University of Reading provides an introduction into the key concepts and techniques in the field both in algorithmic developments as well as important applications. In a framework which consists of introductory lectures by selected international experts in the field we aim to have time for mutual exchange and discussions in a relaxed and stimulating atmosphere at the green campus of the University of Reading.

Lecturers include: Steven Schiff, Dennis McLaughlin, Takemasa Miyoshi, Tijana Janjic-Pfander, Roland Potthast, Peter-Jan van Leeuwen, Sarah Dance, Jochen Broecker, Nancy Nichols, Ingo Bojak, Hendrik Reich, Africa Perianez.
Local Organizers: Africa Perianez, Etienne Roesch, Ingo Bojak, Roland Potthast, Kelly Sloan and Douglas Saddy

Time	Monday	Tuesday	Wednesday	Thursday	Friday
09:00-09:45		Special Lecture Numerical Weather Prediction I	Discussion time/Poster	Special Lecture	Weak constraint 4dVar
09:45-10:30		Special Lecture Numerical Weather Prediction II	Discussion time/Poster	Special Lecture	Discussion time/Poster
	Coffee	Coffee	Coffee	Coffee	Coffee
11:00-11:45	Lecture 1: DA Introduction	Lecture 3: Variational DA I 3dVar and Stability	Lecture 5: Variational DA II: Adjoints and 4dVar	Lecture 7: Ensemble Methods	Lecture 9: Particle Filters I
11:45-12:30	Lecture 2: Basics of Inverse Problems	Lecture 4: Kalman Filter	Lecture 6: Covariances, Obs. and Model Error	Lecture 8: Localization Techniques	Lecture 10: Particle Filters II
	Lunch	Lunch	Lunch	Lunch	Finish
14:00-14:45	Discussion time/Poster	Discussion time/Poster	Special Lecture Reservoir Modeling I	Discussion time/Poster
14:45-15:30	Discussion time/Poster	Discussion time/Poster	Special Lecture Reservoir Modeling II	Discussion time/Poster
	Coffee	Coffee	Coffee	Coffee
16:15-17:00	Special Lecture Neuroscience I	Exercise: Coding Examples	Discussion time/Poster	Exercise: Coding Examples
17:00-17:45	Special Lecture Neuroscience II	Exercise: Coding Examples	Discussion time/Poster	Exercise: Coding Examples
18:00	Icebreaker			Joint Dinner

Fee for Participants GBP 50,-. Lunches and Coffee will be provided. Please register before May 31st by email with Africa Perianez: a.perianez@pgr.reading.ac.uk. Poster contributions welcome, reserve space before May 31st!

For more infos see: PDF Flyer