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| - | '''July 2008''' | + | '''Joint Mathematics Meeting, 2009''' |
| The Joint Mathematics Meeting (JMM) in 2009 is from January 5-8 in Washington DC. We are planning on organizing a session specifically for geoscientists. Contact Margot at margot.gerritsen@stanford.edu if you are interested in joining us at this meeting and give a talk in a geosciences minisymposium. The JMM website can be found at | The Joint Mathematics Meeting (JMM) in 2009 is from January 5-8 in Washington DC. We are planning on organizing a session specifically for geoscientists. Contact Margot at margot.gerritsen@stanford.edu if you are interested in joining us at this meeting and give a talk in a geosciences minisymposium. The JMM website can be found at | ||
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| - | '''June 2008''' | + | '''Mathematical and Computational Issues in Solid Earth Geoscience''' |
| The following upcoming conference may be of interest to you: | The following upcoming conference may be of interest to you: | ||
Revision as of 22:40, 14 August 2008
Joint Mathematics Meeting, 2009
The Joint Mathematics Meeting (JMM) in 2009 is from January 5-8 in Washington DC. We are planning on organizing a session specifically for geoscientists. Contact Margot at margot.gerritsen@stanford.edu if you are interested in joining us at this meeting and give a talk in a geosciences minisymposium. The JMM website can be found at [1]
Mathematical and Computational Issues in Solid Earth Geoscience
The following upcoming conference may be of interest to you:
CIG Workshop on Mathematical and Computational Issues in Solid Earth Geoscience [2]
On Sept. 15-17, 2008, in Santa Fe, NM, this CIG workshop will bring together solid-earth geoscientists, mathematicians, computational and computer scientists to focus on specific issues arising from a range of solid-Earth dynamics problems that have proven both difficult and critical for progress in studying and modeling the dynamics of the planet. These problems form the core activities for the Computational Infrastructure for Geodynamics (CIG) and provide new challenges and opportunities in multi-scale/multiphysics modeling and inference.
