Climate Informatics 2017

09/20/2017 - 8:00am to 09/22/2017 - 5:00pm
ML - Main Seminar Room

About Climate Informatics

We have greatly increased the volume and diversity of climate data from satellites, environmental sensors and climate models in order to improve our understanding of the climate system. However, this very increase in volume and diversity can make the use of traditional analysis tools impractical and necessitate the need to carry out knowledge discovery from data. Machine learning has made significant impacts in fields ranging from web search to bioinformatics, and the impact of machine learning on climate science could be as profound. However, because the goal of machine learning in climate science is to improve our understanding of the climate system, it is necessary to employ techniques that go beyond simply taking advantage of co-occurence, and, instead, enable increased understanding. 

The Climate Informatics workshop series seeks to build collaborative relationships between researchers from statistics, machine learning and data mining and researchers in climate science.  Because climate models and observed datasets are increasing in complexity and volume, and because the nature of our changing climate is an urgent area of discovery, there are many opportunities for such partnerships.

Climate informatics broadly refers to any research combining climate science with approaches from statistics, machine learning and data mining. The Climate Informatics workshop series, now in its fifth year, seeks to bring together researchers from all of these areas. We aim to stimulate the discussion of new ideas, foster new collaborations, grow the climate informatics community, and thus accelerate discovery across disciplinary boundaries. The format of the workshop seeks to overcome cross-disciplinary language barriers and to emphasize communication between participants by featuring tutorials, invited talks, panel discussions, posters and break-out sessions. The programs of previous workshops can be found here (CI2016CI2015CI 2014CI 2013CI 2012CI 2011). We invite all researchers interested in learning about critical issues and opportunities in the field of climate informatics to join us, whether established in the field or just starting out.

TO LEARN MORE ABOUT THIS WORKSHOP, PLEASE VISIT THE EVENT PAGE.

Invited Speakers: 

1. Alexis Hannart, IFAECI & CNRS

2. Robert Lund, Clemson University

3. Elisabeth Moyer, University of Chicago

4. Prabhat, Lawrence Berkeley National Laboratory

5. Sai Ravela, MIT

 

Sponsored by: 

      

Image result for statmos      Image result for nsf     Image result for ncar

 

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.