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The amount of observational and model-simulated data within the climate sciences has grown at an accelerating rate since the early 1980s. The increasing amount of available data creates many opportunities for researchers in machine learning and statistics to partner with climate scientists in the development of new methods for interdisciplinary knowledge discovery.
Friday, May 9, 2014 - Call for posters!
Friday, July 25, 2014 - Poster abstracts due
Friday, August 15, 2014 - Author notification
Friday, August 15, 2014 - Travel fellowship notification
Friday, September 5 2014 - Revised abstracts due
Thursday-Friday, September 25-26, 2014 - Workshop takes place at NCAR, in Boulder, CO
New and Recently Published!
Machine Learning and Data Mining Approaches to Climate Science: Selected papers from the 4th International Workshop on Climate Informatics (CI 2014)
Website: To order/download click here.
Academic prices (Sept 1, 2015): eBook (in color): free. Softcover (caution: black&white): $25. (Academic prices are available when going to the above site from a university with springer subscription.)
Regular prices (Sept 1, 2015): eBook: $132.67; Hardcover: $172.68.
|The conference logo image is courtesy of Michael Tippett. Colors show deviations of sea-surface temperatures from their climatological values in the equatorial Pacific from January 1997 to April 2000 with time going counter-clockwise.|