Extreme events are a key manifestation of
complex systems, in both the
natural and human world. Their economic and social consequences are a
matter of enormous concern. Much of science has concentrated, until
recently, on understanding the mean behaviour of physical, biological
or social systems and their ‘normal’ variability. Extreme events, due
to their rarity, have been hard to study and even harder to predict.
The scientists associated with this Advanced School work on the
development and use of quantitative research methods for the
description, understanding and prediction of extreme events, across a
broad range of natural and socio-economic phenomena.
The purpose of
this school is to disseminate both theoretical and
applied knowledge on extreme events, the dynamics that generates them
and the time series that exhibit them, to young scientists: advanced
Ph.D. students, post-docs, beginning researchers.
The topics to be
covered deal with the dynamics of nonlinear and
complex systems, and with temporal and spatio-temporal data sets that
may be nonstationary, have very large moments, and relatively few
values. Application areas include a broad range of types of extreme
eventspecific emphasis on floods, earthquakes, wildfires,
landslides, heat waves, droughts, and socio- economic crises.
Directors: Michael Ghil, Philippe Naveau, Pascal Yiou.
3–11
September 2007 - Comorova, Romania
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