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Spain (3) and Austria (1). There was also a good mix in seniority and background (climate studies, statistics).<br />

During this workshop, the presentations lead to fruitful discussions and interaction. People from climate<br />

studies have learned about recent developments in the field of extreme value theory that are<br />

highly relevant for them. People from statistics have learned about the statistical problems people in<br />

climate research are confronted with. <strong>EURANDOM</strong> and KNMI see possibilities in starting joint projects<br />

on statistical approaches to problems in climate studies.<br />

Sponsors:<br />

Royal Netherlands Meteorological Institute (KNMI), Mathematical Research Institute (MRI), Netherlands<br />

Organization for Scientific Research (NWO), Thomas Stieltjes Institute for Mathematics, NWO Earth and<br />

Life Sciences (ALW).<br />

June 8-10, 2010 (SIM)<br />

Parameter Estimation for Dynamical Systems<br />

Organizers:<br />

Chris Klaassen, Universiteit van Amsterdam & <strong>EURANDOM</strong><br />

Shota Gugushvili, <strong>EURANDOM</strong><br />

Bart Bakker, Philips Research<br />

Participants: 50<br />

There were eight presentations by invited speakers, seven contributed talks, a poster session with eight<br />

posters, and a panel discussion on present state and future of the field.<br />

Systems of ordinary differential equations (ODEs) play an important role in modelling various phenomena<br />

that arise in fields as diverse as biology, engineering, chemistry, meteorology, and many others.<br />

Typically, these systems are nonlinear and depend on parameters. For instance, in biomolecular applications<br />

these parameters describe interaction rates and initial concentrations of various molecules relevant<br />

to a given biomolecular process. In order to obtain a model useful in practice, it is critical to know<br />

these parameters. They have to be inferred from data related to the process at hand. Typically, the dimensions<br />

of both the ODE system as well as the parameter space are high, while data are relatively<br />

scarce. Hence estimation of parameters of ODE systems is a challenging problem that lies at an intersection<br />

of several theoretical and applied fields. The workshop has been very successful in providing a<br />

meeting place for researchers in the area, who reviewed different methods used to tackle the problem,<br />

assessed the achieved progress, and identified future research directions.<br />

Classical Least Squares Estimation was discussed by Piet Hemker, the Bayesian approach by Dave Lunn<br />

and Dave Campbell, smoothing techniques by Jim Ramsay and former <strong>EURANDOM</strong>-postdoc Nicolas<br />

Brunel, a nonlinear programming approach by Victor Zavala, and applications by Kim McAuley. A general<br />

overview was given by Eberhard Voit. The contributed papers and posters also touched on several<br />

of these topics. It was a good mixture of theoretical and more applied contributions for an audience<br />

and by speakers with diverse backgrounds.<br />

The workshop has drawn attention to this new field, has been very informative for the participants,<br />

and has fostered collaboration by its pleasant and inspiring atmosphere.<br />

Publication of proceedings in a journal is under discussion. A follow-up workshop might be planned in<br />

two years.<br />

Sponsors:<br />

Royal Netherlands Academy of Arts and Sciences (KNAW), Netherlands Bioinformatics Centre (NBIC),<br />

Netherlands Organization for Scientific Research (NWO), Philips.<br />

June 25 & 26, 2009 (QPA)<br />

SPOTNET meeting<br />

Organizers:<br />

Seva Shneer, <strong>EURANDOM</strong><br />

<strong>EURANDOM</strong> Annual Report 2009 27

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