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.