Workshop Overview
The objectives of this workshop are to bring together senior and
young researchers in applied mathematics, statistics and environmental
sciences, including health impacts of environmental change, to learn about
current areas of investigation and current trends in spatio-temporal
statistics in a relaxed and informal setting. This workshop provides an
entry into different research topics in spatio-temporal statistics.
The atmosphere of the conference will allow ample time for interactions
and discussions. Such interactions are important for young researchers
to get to know senior, established statisticians and scientists and to
discuss current areas and problems with them. There will be an emphasis
on environmental and health applications and the challenges that
statisticians, mathematicians and scientists face. These are mainly due
to the interdisciplinary nature of the research that needs to be developed,
as well as the difficulty of analyzing large datasets. We plan to emphasize
new stochastic models for spatio-temporal data and new estimation techniques.
Workshop Themes
- Air quality, including evaluation of air quality models, inverse
modeling, data assimilation in air pollution models, and
monitoring network design.
- Weather and climate, including ensemble forecasting, data
assimilation, and methods to assess uncertainty in numerical
weather predictions.
- Epidemiology, including disease mapping, models for synthesizing
evidence about the health effects of environmental pollutants,
regression with misaligned spatial health data and spatio-temporal
models for correlated survival data.
Workshop Plan
The workshop is scheduled for 1-6 June 2003 and includes plenary lectures,
invited lectures, poster sessions, and an informal collaborative working
period.