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3rd Annual Machine Learning in Solid Earth Geoscience
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CONFERENCE CANCELLED

Due to the rapidly escalating concerns relating to the spread of the coronavirus disease (COVID-19), we (the organizers) have decided to delay the conference for the safety of all participants. The decision to cancel was based on the latest scientific data being reported, guidance from the the US Department of Energy and Los Alamos, and due to  cancellations. We recognize that the timing of this decision will significantly inconvenience many of you and we apologize. However, this decision was made out of deep concern for the health and well-being of our registrants, staff, vendors, and the Santa Fe community.

Refund Information

We will be offering a 100% refund to all participants for their registration fees. We are actively working with our vendors to process refunds. Based on current estimates, all refunds will be processed no later than March 31, 2020.

Please note:

  • All refunds will be refunded to the credit card or bank account from which the registration was paid.
  • It is each registrant’s responsibility, if they did not pay the fee directly, to provide a copy of the refund receipt (which you should receive via the email address you registered with) to the appropriate person/department to document the refund.


The hotel has generously agreed not to charge any penalty fees to our attendees for your guestroom reservations as long as you contact the hotel directly to cancel your individual reservation prior to your scheduled check-in date. Please contact the hotel directly as soon a possible to ensure you are not assessed any penalty fees.

  • Inn and Spa at Loretto
    Phone: (505) 988-5531

Sponsors

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Summary

Machine learning (ML) in its current form is relatively new to geoscience.  In the past, ML was applied to a number of geoscience problems but the number of applications before about 2010 was modest. These applications of ML did not reach their full potential for three primary reasons: scarcity of sufficient data for training and testing,  the inability to handle available data efficiently, and computers with insufficient computational speed to process large data sets. Earthquake catalogs, for example, were analyzed, rather than continuous waveform data, due to limitations in data storage capability as well as limitations in instrument density. For subsurface flow and transport predictions, the paucity of data was due to expensive instrumentation and measurement procedures, insufficiently resolved models etc. As we approach the exascale computational era, modeling capabilities have advanced significantly, allowing us to explore parameter and model spaces more thoroughly. We are now at the confluence of the ability to handle massive data streams ‘big data’, ultra fast and massive computers, significant increases in instrumentation density and quality, and advances in ML. As a result we are just now seeing the beginning of the new era in ML applied to geoscience problems that is marked by analyzing continuous geoscience data streams.

This Center for Nonlinear Studies conference will focus on modern applications of ML to solid earth geoscience problems, including earthquakes (both tectonic and induced), faulting, Earth imaging with a multitude of data types including seismic, gravity, electrical methods, geodesy, state of stress, etc.  We will also explore topics related to geological characterization,  subsurface flow and transport, etc. We limit the conference to the solid earth and exclude atmospheric, space and ocean science. This meeting will bring together leading experts with the goal of identifying synergies between these emerging research areas and identifying common themes and open questions.

Organizing Committee

Steering Committee:

  • Paul Johnson (LANL)
  • Greg Beroza (Stanford)
  • Eric Bylaska (PNNL)
  • Maarten de Hoop (Rice)
  • Youzuo Lin (LANL)
  • Hari S. Viswanathan (LANL)

Organizing Committee:

  • Jeffrey Hyman (LANL)
  • Chris Johnson (LANL)
  • Chris Marone (Sapienza University Rome / Penn State)
  • Daniel O'Malley (LANL)
  • Chris Ren (LANL)
  • Gowri Srinivasan (LANL)  
  • Daniel Trugman (LANL / UT Austin)

  • When

    Monday, March 16, 2020 - Friday, March 20, 2020

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  • Where

    Inn and Spa at Loretto
    211 Old Santa Fe Trail
    Santa Fe, New Mexico 87501
    USA

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  • Planner

    Jennie Harvey

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  • Websites

    Sponsors
    Center for Nonlinear Studies, Center for Space and Earth Science, Los Alamos National Laboratory

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This event is brought to you by the Center for Nonlinear Studies at Los Alamos National Laboratory.
This event has been declared "Open to the Public - with Registration".

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