2014 AMS Annual Meeting

Program: Conferences, Symposia, and Town Halls

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Call for Papers

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.

The theme for the 2014 AMS Annual Meeting is “Extreme Weather—Climate and the Built Environment: New perspectives, opportunities, and tools.” We broadly define weather and climate extreme events to include, but not be limited to, severe storms, tornados, tropical cyclones, floods, winter storms, drought, temperature extremes, derechos, aircraft turbulence wildfires, extreme solar activity, and ocean-land responses (e.g. storm surges, landslides, debris flows). Our society is a “built environment,” increasingly connected by cyber, energy, water, transportation, health, social, and other infrastructures—one that interacts with the natural environment through ecosystem functions supplied by wetlands, barrier islands, etc. The sustainability of this built environment and stewardship of our natural ecosystems are clearly related to quality of life. The theme is designed to explore the aforementioned “focal point” combining scientific inquiry, technological advances, societal implications, and public awareness through the lens of past, current, and future extreme weather and climate events.

We invite submissions on topics related to artificial intelligence and its applications to environmental science. We are especially interested in submissions relating to the overall theme. Please contact the program chairpersons (contact information noted below) by 1 May if you would like to propose a session topic for this conference. We expect to have a number of joint sessions, which will be announced in 2013.  Session topics include:

• AI Techniques Applied to Environmental Science
• AI Techniques for Decision Support 
• AI and Climate Informatics
• AI Techniques for Extreme Weather and Risk Assessment
• AI Techniques for Numerical Weather Prediction
• Computational and Data Sciences for Understanding and Adapting to Weather Extremes Under Climate Change
• Big Data for Big Health Issues (using data mining and artificial intelligence techniques to advance environmental predictions for health) (Joint with 5HEALTH and 30EIPT)
• Applications of Artificial Intelligence Methods for Energy (Joint with 5ENERGY)

The biennial AMS AI contest will also be held at the 2014 Annual AMS meeting. The focus will be on predicting solar energy using solar radiation measurements. The data used for prediction will NOAA's second-generation global ensemble reforecast data. The ESRL/PSD GEFS Reforecast Version 2 data has historical weather forecasts from 1985 onward and it can be viewed at: http://esrl.noaa.gov/psd/forecasts/reforecast2/ We will use surface observations of solar radiation from the Oklahoma Mesonet for the verification data. The full contest data is available at: https://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest The deadline to submit to the contest will be Nov 1, 2013 with winners announced at the 2014 AMS Annual Meeting in the AI conference. 

 Award certificates and cash prizes will be given for the best student (undergraduate or graduate) oral and poster presentations at the conference.  Students who wish to be considered for this prize should indicate that when submitting their abstract.  The AMS Committee on Artificial and Computational Intelligence and its Applications to the Environmental Sciences is also offering small travel awards for student(s) AMS members who are presenting papers at the conference. You can apply for this by submitting an email to the chair describing your need, linking to your abstract, and a verification of your student status.

For additional information please contact the program chairperson(s), Amy McGovern, [email protected]. (2/13)