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May 31 - June 2 Big Data and The Earth Sciences: Grand Challenges Workshop

by John Graham published Feb 07, 2017 06:31 PM, last modified May 30, 2017 11:41 AM
Big Data and The Earth Sciences: Grand Challenges Workshop May 31 - June 2
When May 31, 2017 08:00 AM to
Jun 02, 2017 06:00 PM
Where Qualcomm Institute, Calit2 - University of California, (UCSD) Atkinson Hall Auditorium 9500 Gilman La Jolla, CA 92093
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The goal of the The Big Data and Earth Sciences: Grand Challenges Workshop is to bring thought leaders in Big Data and Earth Sciences together for a three day, intensive workshop to discuss what is needed to advance our understanding and predictability of the Earth systems and to highlight key technological advances and methods that are readily available (or will be soon) to assist this advancement. With the ever growing quantity and quality of hyper-dimensional earth science data (satellite and ground based observations and cutting–edge Numerical Weather Prediction (NWP) models), the advancements in machine learning (e.g. supervised, unsupervised and semi-supervised learning techniques), and the progress made in the application of Graphical Processing Units (GPUs) and GPU clusters, we now have an unprecedented opportunity and challenge to engage these computational advances to improve our understanding of the complex nature of the interactions between various earth science events, their variables and their impacts on society (flooding, drought, agriculture, etc.).

Grand Challenges Lectures (CONFIRMED):

Dr. Larry Smarr, Founding Director of the California Institute for Telecommunications and Information Technology (Calit2), a UC San Diego/UC Irvine partnership, holds the Harry E. Gruber professorship in Computer Science and Engineering (CSE) at UC San Diego's Jacobs School.

Dr. Vipin Kumar, Regents Professor at the University of Minnesota, holds the William Norris Endowed Chair in the Department of Computer Science and Engineering, University of Minnesota.

Dr. Padhraic Smyth, Professor, Director, UCI Data Science Initiative and Associate Director, Center for Machine Learning and Intelligent Systems, UC Irvine.

Dr. Michael Wehner, Senior Staff Scientists, Computational Research Division at the Lawrence Berkeley National Laboratory. 

Hotel accommodations: 

 

Abstracts are restricted to one page. Please include the abstract title, authors’ names and affiliations. A word document or .pdf is preferred.  

Abstract Deadline Extended to April 21st

Please send abstracts to scottsellars@ucsd.edu

Please register here: Workshop Registration Form

Download the call for papers HERE