CEDAR email: New frontier in geospace science

Mcgranaghan, Ryan (335G-Affiliate) ryan.mcgranaghan at jpl.nasa.gov
Mon Jun 4 20:59:20 MDT 2018

Dear colleagues,

We eagerly invite your participation in an exciting session devoted to new directions and innovation in CEDAR science: Next generation CEDAR science: Addressing geospace system science in the age of data science<http://cedarweb.vsp.ucar.edu/wiki/index.php/2018_Workshop:Next_generation_CEDAR_science>. We encourage potential speakers and thought-leaders to contact us to be involved.

This session is targeted to bring together a multi-disciplinary group from across the disciplines of space physics, statistical analysis, and computer and data sciences to:

  1.  Discuss the application of cutting-edge data science approaches (e.g., machine learning) to geospace system science;
  2.  Provide a forum to navigate the intersection between innovative data science tools and established methods and models; and
  3.  Outline the paths from methodology to new fundamental understanding.

Our two-hour session will take place on Wednesday afternoon (June 26) and will use a non-traditional, working group format:

  *   1:30-1:40 — Introduction by conveners
  *   1:40-2:35 — Solicited and contributed talks (~4-5 short talks)
     *   Confirmed speakers:
        *   Eric Sutton - New methods for thermospheric data assimilation
        *   Elizabeth MacDonald - Intersection of Citizen Science and Data Science
        *   Christine Gabrielse - Mesoscale analysis of MIT coupling through geospace data fusion
  *   2:35-3:15 — Breakout groups OR round-table discussion (depending on audience size)

  *   3:15-3:30 — Summary and convergence of group discussions/round-table discussion
     *   Compile discussion summaries, post to session wiki page, and outline action items to extend collaborations

We pose the following questions for the audience to consider prior to the session and to prepare materials that can help drive discussion:

  *   To what extent do traditional methods of geospace research overlap with data-driven techniques?
  *   What are the powerful use cases for applying data science in geospace?
  *   What is needed for more efficiency in geospace data processing and analysis?
  *   What are the immediate next steps to embrace data science approaches in geospace?

Additional discussion questions/topics are encouraged and can be sent to the conveners.

Please get in touch with the conveners if you would like to be involved as a speaker and/or a discussion leader. Looking forward to your participation!

Warm Regards,
Ryan McGranaghan (ryan.mcgranaghan at jpl.nasa.gov)
Tomoko Matsuo (tomoko.matsuo at colorado.edu<mailto:tomoko.matsuo at colorado.edu>)
Asti Bhatt (asti.bhatt at sri.com<mailto:asti.bhatt at sri.com>)
Steven Morley (smorley at lanl.gov<mailto:smorley at lanl.gov>)

Ryan McGranaghan | Jack Eddy Postdoctoral Research Fellow

          University Corporation for Atmospheric Research (UCAR)
          Jet Propulsion Laboratory
          4800 Oak Grove, M/S 138-314  |  Pasadena, CA 91109
          818.354.0926  |  rymc1012 at ucar.edu<mailto:rymc1012 at ucar.edu>  / ryan.mcgranaghan at jpl.nasa.gov<mailto:ryan.mcgranaghan at jpl.nasa.gov> |  cpaess.uc<http://cpaess.ucar.edu/>ar.edu<http://cpaess.ucar.edu/>

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