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2012 - Tenth Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences

Date2012-01-22

Deadline2011-08-01

VenueLouisiana, USA - United States USA - United States

Keywords

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Topics/Call fo Papers

Tenth Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, 22?26 January 2012, New Orleans, Louisiana

The Tenth Conference on Artificial Intelligence (AI) and its Applications to the Environmental Sciences, sponsored by the American Meteorological Society and organized by the AMS Committee on AI and its Applications to Environmental Science, will be held 22?26 January 2012 as part of the 92nd AMS Annual Meeting in New Orleans, Louisiana. Abstracts due August 1, 2011 and can be submitted online at: http://ams.confex.com/ams/92Annual/oasys.epl

Our annual conference brings together AI researchers and environmental scientists, with the goal of increasing the synergy between the two. We aim to increase the understanding and use of AI techniques in the environmental sciences and to demonstrate the wide range of open problems in the environmental sciences. AI encompasses a broad field of computational intelligence disciplines including data mining, machine learning, statistical learning, self-organizing systems, evolutionary learning and expert systems.

This year we have a number of joint sessions, highlighted below.

* Joint session with the 28th Conference on Interactive Information Processing Systems - Information Processing using Machine Intelligence

The quantity of data flowing to meteorological decision makers continues to increase, with new sensors being deployed, model ensembles becoming common and resolutions of instruments increasing. Traditional methods of visualizing information often do not scale to these data rates, and it often becomes necessary to automatically extract useful information from the data streams to draw the users’ attention. Papers in this session will be focused on applications of AI/ML techniques to process data automatically. Other applications of machine intelligence techniques include data mining and exploratory data analysis. Topics of interest include the current status and plans for ground-based algorithms for satellite data, prediction algorithms for aviation weather products and personalized (“point” and “path”) weather forecasts to the general public

* Joint session with the Third Symposium on Environment and Health - Tools, Technologies, and Methods to address Weather and Climate Impacts on Health

The environment is known to influence population health via exposure to multiple interacting variables. Understanding these interactions within hierarchical spatial and temporal domains (e.g., climate and weather scales) is important, as it fosters the development of better public health surveillance, preparedness, and response protocols. We are seeking papers that focus on novel methodologies that quantify the linkages between atmospheric conditions and health outcomes. Topics may include advanced data mining, mixed methods analysis, AI/ML, spatial analyses, and applications of geospatial technology to advance healthcasting systems for emerging environment and health concerns.

* 17th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA - Connection between micrometeorological, turbulence variables and pollutants by using AI/CI modeling approaches

Predicting the spatial and temporal variation of pollutant, meteorological and turbulence fields is critical. How can we use AI techniques to model the spatial spread of pollutants and to better understand the models underlying the spread of the pollutants?

* Joint session with the 21st Conference on Probability and Statistics in the Atmospheric Science - Bridging the gap between artificial intelligence and statistics in applications to environmental science

This session emphasizes the use of AI/ML/data mining for source inversion and air quality prediction.

* Joint session with the 24th Conference on Climate Variability and Change - Data mining, prediction, and predictability of the climate system

* Joint session with the 18th Conference on Satellite Meteorology and Oceanography - Artificial Intelligence Methods Applied to Satellite Remote Sensing

* Joint session with the 26th Conference on Hydrology - Theory and Applications of AI in Hydrometeorology

In addition to the joint sessions, the AI conference will hold general sessions for papers on the following topics.
* Applications of data mining/knowledge discovery and improved understanding of large environmental science datasets
* Applications of AI in numerical weather prediction
* Applications of AI in weather product evaluation (e.g., via expert system models of decision processes or agent-based models of impacts)
* Applications of AI to decision support system development
* Applications of AI to environmental science problems
* Applications of AI to probabilistic predictions, uncertainty estimates or risk analysis
* Exposition of new or existing AI methods relevant to the environmental sciences

Please submit your abstract electronically via the Web by 1 August 2011 (http://ams.confex.com/ams/92Annual/oasys.epl) An abstract fee of $95 (payable by credit card or purchase order) is charged at the time of submission (refundable only if abstract is not accepted). The $95 abstract fee includes the submission of your abstract, the posting of your extended abstract, and the uploading and recording of your presentation, which will be archived on the AMS Web site.

Authors of accepted presentations will be notified via e-mail by late-September 2011. All extended abstracts are to be submitted electronically and will be available on-line via the Web, Instructions for formatting extended abstracts will be posted on the AMS Web site. Manuscripts (up to 3MB) must be submitted electronically by 22 February 2012. All abstracts, extended abstracts and presentations will be available on the AMS Web site at no cost.

For additional information please contact the program chairperson, Dr. Amy McGovern, amcgovern-AT-ou.edu.

Last modified: 2011-06-19 21:54:51