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SAMSI logo SAMSI/GSP Workshop on
Spatio-Temporal Modeling
1-6 June 2003
Foothills Lab #2, RM 1022
Boulder, CO
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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.

June 1, Sun afternoon reception
June 2, Mon plenary lectures in each of the thematic areas and invited talks
June 3, Tue Invited talks in the morning and excursion in the afternoon
June 4, Wed Detailed scientific lectures and poster sessions
June 5, Thu Invited talks and poster sessions
June 6, Fri Informal collaborative working group meetings

Call for Participants

The workshop is intended for applied mathematicians, statisticians, and environmental and health scientists involved in the modeling, prediction and estimation of spatio-temporal processes.

The registration deadline was 15 March 2003. Participation in the workshop is limited, and consideration will be given to interdisciplinary program balance, collaborative commitments, and accomplishment. Special consideration will be given to young investigators and PhD students. Members of under-represented groups are especially encouraged to apply. Previous workshops sponsored by GSP have supported the travel and lodging of approximately 20 graduate students.

Plenary Speakers

Topic Speaker Affiliation
Air Quality Robin Dennis US EPA
Climate Mark Berliner Ohio State Univ.
Environmental Health Alan Gelfand Duke Univ.

Organizing Committee

Montse Fuentes North Carolina State University fuentes@stat.ncsu.edu
Doug Nychka NCAR nychka@ucar.edu
Richard L. Smith University of North Carolina rls@email.unc.edu

SAMSI

The Statistics and Applied Mathematical Sciences Institute (SAMSI) is a new national institute with primary funding from the National Science Foundation. SAMSI is a partnership between Duke University, North Carolina State University, the University of North Carolina at Chapel Hill, and the National Institute of Statistical Sciences. Please see www.samsi.info for more information about SAMSI. This workshop is part of the Focused Study Program on Large-Scale Computer Models for Environmental Systems, and is just one of many research activities underway at SAMSI. Those interested more broadly in other activities within the Focused Study Program and other opportunities for participating in SAMSI should contact Richard Smith.

GSP

The Geophysical Statistics Project is a statistical research and training group embedded within the National Center for Atmospheric Research (NCAR) and is funded by the National Science Foundation. GSP pursues the innovative application and development of statistical methodologies to address problems faced in the Earth sciences. A complementary activity is to generalize specific problems in the geophysical sciences to broad-based statistical research. GSP attempts to serve as a bridge between the atmospheric-oceanographic and the statistical-probabilistic research communities. This workshop is an example of its integrating role. For more information about GSP, including post-doc positions, please contact Doug Nychka.

NCAR

NCAR was formed in 1960 and has a broad interdisciplinary research program involving more that 1000 employees of which several hundred hold advanced scientific or engineering degrees. The NCAR scientific program includes nearly all aspects of the atmosphere including climate and weather, atmospheric chemistry, ecology, instrumentation, scientific computing, and economic and societal impacts of atmospheric processes.

Last modified: May/ 6/2003
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