MeetingOfInterest:Meeting-324: Difference between revisions

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|MOI abstract deadline=2018/10/25
|MOI abstract deadline=2018/10/25
|MOI registration deadline=2019/02/23
|MOI registration deadline=2019/02/23
|Working group member=Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative
|MOI summary=Join fellow geographers, GIS specialists, environmental scientists, and other leaders for the latest in research and applications in geography, sustainability, and GIScience. The meeting will be held Wednesday, April 3, to Sunday, April 7, 2019. and will feature more than 6,000 presentations, posters, workshops, and field trips by leading scholars, experts, and researchers.
|MOI summary=Join fellow geographers, GIS specialists, environmental scientists, and other leaders for the latest in research and applications in geography, sustainability, and GIScience. The meeting will be held Wednesday, April 3, to Sunday, April 7, 2019. and will feature more than 6,000 presentations, posters, workshops, and field trips by leading scholars, experts, and researchers.
|MOI_CSDMS_yes_no=No
|MOI_CSDMS_yes_no=No

Revision as of 09:19, 4 March 2019


American Association of Geographers (AAG) Annual Meeting 2019
Washington D.C. District of Columbia, United States
03 - 07 April 2019
Join fellow geographers, GIS specialists, environmental scientists, and other leaders for the latest in research and applications in geography, sustainability, and GIScience. The meeting will be held Wednesday, April 3, to Sunday, April 7, 2019. and will feature more than 6,000 presentations, posters, workshops, and field trips by leading scholars, experts, and researchers.

Sessions of interest
Integrative modeling for coupled human and natural systems: linking models of human decision-making, land use, and environmental response
https://goo.gl/r335wL