Connectionists: Call for Papers: Climate Informatics 2017

[Climate Informatics]

*Call for Papers: The 7th International Workshop on Climate Informatics*
*When: *Thursday, September 21, 2017 to Friday, September 22, 2017

Plus optional Hackathon: Wednesday, September 20, 2017

*Where:* Mesa Lab, National Center for Atmospheric Research (NCAR) in
Boulder, CO

*Website:*
https://www2.cisl.ucar.edu/events/workshops/climate-informatics/2017/climate-informatics-workshop

*Twitter:* @Climformatics <https://twitter.com/climformatics>
Workshop Overview:

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 seventh 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 a hackathon, invited talks, panel discussions, posters and
breakout sessions.
Short Papers:Submission Deadline: July 22nd, 2017

We encourage conference paper submissions up to four pages on topics
anywhere at the interface of climate science and machine learning,
statistics, data mining, or related fields. Reviews, position papers, and
works in progress, are also encouraged. The papers will be peer reviewed
and published in an NCAR OpenSky repository.


Topics include but are not limited to:

   -

   Machine learning, statistics, or data mining, applied to climate science
   -

   Management and processing of large climate datasets
   -

   Long and short term climate prediction
   -

   Ensemble characterization of climate model projections
   -

   Paleoclimate reconstruction
   -

   Uncertainty quantification
   -

   Spatiotemporal methods applied to climate data
   -

   Time series methods applied to climate data
   -

   Methods for modeling, detecting and predicting climate extremes
   -

   Climate change attribution
   -

   Dependence and causality among climate variables
   -

   Detection and characterization of climate teleconnections
   -

   Data assimilation
   -

   Climate model parameterizations
   -

   Hybrid methods
   -

   Other data science approaches at the nexus of climate and earth system
   sciences

Keynote Speakers:

Alexis Hannart - Franco-Argentine Institute on Climate Studies and their
Impacts (IFAECI) and the French National Center for Scientific Research
(CNRS)

Dr. Hannart is a researcher at the Franco-Argentine Institute for Climate
Studies and Impacts (IFAECI), an international laboratory of the CNRS based
in Buenos Aires. Its main research topic concerns the detection and
attribution of climate change, the purpose of which is to highlight
possible causal links between the observed climatic responses (long-term
trends or punctual events) and external (natural forcings or anthropogenic)
for which it develops statistical methods.
Robert Lund - Clemson University

Dr. Lund received his Ph.D. degree in Statistics from The University of
North Carolina in 1993.  He is currently a Professor in the Department of
Mathematical Sciences at Clemson University.  He is a Fellow of the
American Statistical Association and was the 2005-2007 Editor of the
Journal of the American Statistical Association, Reviews Section.  He has
published over 70 refereed papers and has graduated 15 doctoral students.
His interests are in time series, applied probability, statistical
climatology, and veterinary disease mapping.
Elisabeth Moyer - University of Chicago

Dr. Moyer’s research interests fall in two main threads. The first includes
the use of the isotopic composition of atmospheric water vapor as a tracer
of convective processes, cirrus formation, and stratosphere-troposphere
exchange; and the design of spectroscopic techniques for in-situ trace gas
measurements. The second includes climate (and human) response to
greenhouse-gas forcing; development of tools for impacts assessment;
statistical emulation of climate model output; and climate and energy
policy evaluation.
Prabhat - National Energy Research Computing Center, Lawrence Berkeley
National Laboratory

Prabhat leads the Data and Analytics Services team at NERSC. His current
research interests include scientific data management, parallel I/O, high
performance computing and scientific visualization. He is also interested
in applied statistics, machine learning, computer graphics and computer
vision. Prabhat received an ScM in Computer Science from Brown University
(2001) and a B.Tech in Computer Science and Engineering from IIT-Delhi
(1999). He is currently pursuing a PhD in the Earth and Planetary Sciences
Department at U.C. Berkeley.
Sai Ravela - Massachusetts Institute of Technology (MIT)

Within the broader arena of estimation, control and information theories,
and topics in statistical pattern recognition and statistical inference and
learning, Dr. Ravela's focus is on the design of numerical methods for
succinctly representing stochastic signals and systems. Research in his
group develops new algorithms to overcome the "curses" of nonlinearity,
dimensionality and uncertainty inference problems, such as estimation,
planning and control and key characteristics of data-driven applications
and cyber-physical systems with applications including tracking, autonomous
sampling and mapping, data assimilation and uncertainty quantification.
Spread the Word:Please help us to advertise CI2017 by telling colleagues,
and by posting this workshop flyer
<http://share.earthto.me/ci2017/CI2017Flyer.pdf> in your department.
Organizing Committee:

Workshop Co-Chairs:

Andy Rhines, University of Washington

Slava Lyubchich, University of Maryland Center for Environmental Science
Program Committee Co-Chairs:

Nikunj C. Oza, NASA

Eniko Szekely, New York University
Publicity and Publications Chair:

Erich Seamon, University of Idaho
Travel and Budget Chair:

Mohammad Gorji, Syntelli Solutions Inc.
Steering Committee:

Imme Ebert-Uphoff, Colorado State University

Claire Monteleoni, George Washington University

Doug Nychka, National Center for Atmospheric Research
Local Administrative Support:

Michelle Patton, NCAR

Cecilia Banner, NCAR
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