CEDAR email: Data Science at CEDAR 2019
Ryan Michael Mcgranaghan
Ryan.Mcgranaghan at colorado.edu
Fri May 17 14:59:06 MDT 2019
Dear colleagues,
We eagerly invite your participation in an exciting session devoted to new
directions and innovation in CEDAR science: The challenge, opportunity, and
art of data science for geospace
<http://cedarweb.vsp.ucar.edu/wiki/index.php/2019_Workshop:Geospace_Data_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. Identify problems and challenges that can immediately be addressed
using data science tools (i.e., the compelling and transformational ‘use
cases’);
2. Promote interaction and collaboration between the CEDAR community and
related disciplines (e.g., Earth Science);
3. Improve agility and capability within CEDAR science; and
4. Grow methodology transfer to enhance CEDAR science.
The proposed workshop is a timely effort to sustain and amplify momentum
from several previous workshops with a data science focus that the
conveners have planned or been central contributors to, including:
- Next Generation System Science (2017) <https://bit.ly/2Tq9xVN>
- Digital Geospace (2017) <https://bit.ly/2C83PNs>
- Grand Challenge: Multi-scale I-T System Dynamics
<https://bit.ly/2H6Kb8C> (started in 2018 with multiple sessions - see,
specifically, introduction to the Grand Challenge from the data
perspective <http://tinyurl.com/y6sj7tj5>)
- Next Generation CEDAR Science (2018) <https://bit.ly/2lCdm6V>
We will convene two two-hour sessions, both taking place from 10 AM-12 PM
and 1:30-3:30 PM on Thursday June 21. The first two-hour session will
feature short talks and discussion and the second will start with a panel
discussion and be followed by breakout groups. A *draft* schedule is
included below our signature.
Contributions of all sorts are encouraged - short talks, technology or
capability demonstrations, challenge concept proposal, discussion. Feel
free to be creative!
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 (rmcgranaghan at astraspace.net)
Asti Bhatt (asti.bhatt at sri.com)
Jade Morton (jade.morton at colorado.edu)
Bharat Kunduri (bharatr at vt.edu)
------------------------------------------------------------------------
*Draft Schedule*
- Thursday 20 June 2019 10 AM - 12 PM (Foundations of data science in
CEDAR science)
-
- 10:00 - 11:20 AM: Talks
-
- Tomoko Matsuo (data assimilation; what it takes to fuse
observations in geospace)
- Farzad Kamalabadi (what is data science and how has it evolved
in CEDAR science)
- Steve Morley (machine learning and relationship to traditional
statistical approaches)
- Russell Stoneback/Angeline Burrell (the data wrangling side of
data science; Pysat <https://github.com/rstoneback/pysat>)
- Yun-Ju Chen (big data in CEDAR science and tools to navigate it)
- *pending*
- Ryan McGranaghan (embracing machine learning)
- 11:20 AM - 12:00 PM Contributed talks and Open Discussion
- Thursday 20 June 2019 1:30 - 3:30 PM (Emerging the trends and gaps
for data science in CEDAR science and creating the needed new connections
)
-
- 1:30 - 2:15 PM Panel
-
- Nathaniel Frissell (citizen science) - pending
- Seebany Datta-Barua (CEDAR science at intersection of physics
and engineering)
- Susan Skone (advanced instruments and intelligent operation for
CEDAR science; Transition Region Explorer (TREx)
<https://www.ucalgary.ca/aurora/projects/trex>)
- Enrico Camporeale (trends in machine learning)
- 2:15 - 3:00 PM Breakout groups
-
- Machine learning applications in geospace (success stories,
lessons learned, and trends)
-
- Moderator: Bharat Kunduri
- Data provenance; Modernization of geospace science workflows
using community recommended best practices (e.g., the use of
open source
software and cloud computing)
-
- Moderator: Asti Bhatt
- Interdisciplinary efforts (best practices, potential
applications)
-
- Moderator: Eric Donovan
- Intersection of physics-based and data-driven methods;
Validation
-
- Moderator: Jade Morton
- Common misconceptions about data science, machine learning,
and artificial intelligence
-
- Moderator: Ryan McGranaghan
- 3:00 - 3:30 PM Regroup and group discussion about the
cross-cutting themes from the breakout session and make plans to move
forward (i.e., create a directed community)
------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------------------------------
*Ryan McGranaghan* - Aerospace Engineering Scientist | Principal Data
Scientist
ASTRA, LLC
282 Century Place, Suite 1000 | Louisville, CO 80027
Contact
WeWork c/o Ryan McGranaghan, 641 S Street NW, Washington, DC 20001
865.804.2169 | ryan.mcgranaghan at gmail.com /
rmcgranaghan at astraspace.net | astraspace.net
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