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<span></span><div style="margin-top:1em;margin-bottom:1em"><span>Dear colleagues, </span></div><div style="margin-top:1em;margin-bottom:1em"><span> </span></div><div style="margin-top:1em;margin-bottom:1em"><span>We eagerly invite your participation in an exciting session devoted to new directions and innovation in CEDAR science: </span><a href="http://cedarweb.vsp.ucar.edu/wiki/index.php/2019_Workshop:Geospace_Data_Science">The challenge, opportunity, and art of data science for geospace</a>. We encourage potential speakers and thought-leaders to contact us to be involved.
</div><div style="margin-top:1em;margin-bottom:1em"><span>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:</span></div><ol start="1"><li><div>Identify problems and challenges that can immediately be addressed using data science tools (i.e., the compelling and transformational ‘use cases’);
</div></li><li><div>Promote interaction and collaboration between the CEDAR community and related disciplines (e.g., Earth Science);
</div></li><li><div>Improve agility and capability within CEDAR science; and
</div></li><li><div>Grow methodology transfer to enhance CEDAR science.
</div></li></ol><div><br></div><div><span>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:</span></div><ul><li><div><a href="https://bit.ly/2Tq9xVN">Next Generation System Science (2017)</a></div></li><li><div><a href="https://bit.ly/2C83PNs">Digital Geospace (2017)</a></div></li><li><div>Grand Challenge: <a href="https://bit.ly/2H6Kb8C">Multi-scale I-T System Dynamics</a> (started in 2018 with multiple sessions - see, specifically, <a href="http://tinyurl.com/y6sj7tj5">introduction to the Grand Challenge from the data perspective</a>)
</div></li><li><div><a href="https://bit.ly/2lCdm6V">Next Generation CEDAR Science (2018)</a></div></li></ul><div><br></div><div>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. <span style="font-weight:bold">A *draft* schedule is included below our signature</span>.
</div><div><br></div><div>Contributions of all sorts are encouraged - short talks, technology or capability demonstrations, challenge concept proposal, discussion. Feel free to be creative!
</div><div style="margin-top:1em;margin-bottom:1em"><span>We pose the following questions for the audience to consider prior to the session and to prepare materials that can help drive discussion:</span></div><ul><li><div>To what extent do traditional methods of geospace research overlap with data-driven techniques?
</div></li><li><div>What are the powerful use cases for applying data science in geospace?
</div></li><li><div>What is needed for more efficiency in geospace data processing and analysis?
</div></li><li><div>What are the immediate next steps to embrace data science approaches in geospace?
</div></li></ul><div style="margin-top:1em;margin-bottom:1em"><span>Additional discussion questions/topics are encouraged and can be sent to the conveners.</span></div><div style="margin-top:1em;margin-bottom:1em"><span>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!</span></div><div style="margin-top:1em;margin-bottom:1em"><span> </span></div><div style="margin-top:1em;margin-bottom:1em"><span>Warm Regards,</span></div><div style="margin-top:1em;margin-bottom:1em"><span>Ryan McGranaghan (<a href="mailto:rmcgranaghan@astraspace.net">rmcgranaghan@astraspace.net</a>) </span></div><div style="margin-top:1em;margin-bottom:1em"><span>Asti Bhatt (</span><a href="mailto:asti.bhatt@sri.com">asti.bhatt@sri.com</a><span>)</span></div><div style="margin-top:1em;margin-bottom:1em">Jade Morton (<a href="mailto:jade.morton@colorado.edu">jade.morton@colorado.edu</a>)
</div><div style="margin-top:1em;margin-bottom:1em"><span>Bharat Kunduri (</span><a href="mailto:bharatr@vt.edu">bharatr@vt.edu</a>)
</div><div style="margin-top:1em;margin-bottom:1em"><br></div><div style="margin-top:1em;margin-bottom:1em"><span style="font-weight:bold">------------------------------------------------------------------------</span></div><div style="margin-top:1em;margin-bottom:1em"><span style="font-weight:bold">*Draft Schedule*</span></div><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Thursday 20 June 2019 10 AM - 12 PM (</span><span style="font-style:normal;font-weight:bold;text-decoration:none">Foundations of data science in CEDAR science</span><span style="font-style:normal;font-weight:400;text-decoration:none">)</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">10:00 - 11:20 AM: Talks</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Tomoko Matsuo (data assimilation; what it takes to fuse observations in geospace)</span></div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Farzad Kamalabadi (what is data science and how has it evolved in CEDAR science)</span></div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Steve Morley (machine learning and relationship to traditional statistical approaches)</span></div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Russell Stoneback/Angeline Burrell (the data wrangling side of data science;</span> <a href="https://github.com/rstoneback/pysat" style="font-style:normal;font-weight:400;text-decoration:underline">Pysat</a><span style="font-style:normal;font-weight:400;text-decoration:none">)</span>
</div></li><li dir="ltr"><div><span>Yun-Ju Chen</span><span style="font-style:normal;font-weight:400;text-decoration:none"> (big data in CEDAR science and tools to navigate it) -</span> <span style="font-weight:400;text-decoration:none"><i>pending</i></span>
</div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Ryan McGranaghan (embracing machine learning)</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">11:20 AM - 12:00 PM Contributed talks and Open Discussion</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Thursday 20 June 2019 1:30 - 3:30 PM (</span><span style="font-style:normal;font-weight:bold;text-decoration:none">Emerging the trends and gaps for data science in CEDAR science and creating the needed new connections</span><span style="font-style:normal;font-weight:400;text-decoration:none">)</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">1:30 - 2:15 PM Panel</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Nathaniel Frissell</span> <span style="font-style:normal;font-weight:400;text-decoration:none">(citizen science) - </span><span style="font-style:italic">pending</span>
</div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Seebany Datta-Barua (CEDAR science at intersection of physics and engineering)</span></div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Susan Skone (advanced instruments and intelligent operation for CEDAR science;</span> <a href="https://www.ucalgary.ca/aurora/projects/trex" style="font-style:normal;font-weight:400;text-decoration:underline">Transition Region Explorer (TREx)</a><span style="font-style:normal;font-weight:400;text-decoration:none">)</span>
</div></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Enrico Camporeale (trends in machine learning)</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">2:15 - 3:00 PM Breakout groups</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Machine learning applications in geospace (success stories, lessons learned, and trends)</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Moderator: Bharat Kunduri</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Data provenance; Modernization of geospace science workflows using community recommended best practices (e.g., the use of open source software and cloud computing)</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Moderator: Asti Bhatt</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Interdisciplinary efforts (best practices, potential applications)</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Moderator: Eric Donovan</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Intersection of physics-based and data-driven methods; Validation</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Moderator: Jade Morton</span></div></li></ul></li><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Common misconceptions about data science, machine learning, and artificial intelligence</span></div></li><li style="list-style:outside none none"><ul><li dir="ltr"><div><span style="font-style:normal;font-weight:400;text-decoration:none">Moderator: Ryan McGranaghan</span></div></li></ul></li></ul></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;background-color:transparent;vertical-align:baseline;white-space:pre"><div><span style="color:rgb(0,0,0);font-family:Arial;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;text-decoration:none">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., cr</span><span style="color:rgb(0,0,0);font-family:Arial;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;text-decoration:none">eate a directed community)</span></div></li></ul></li></ul><div><div style="margin-top:1em;margin-bottom:1em"><span style="font-weight:bold">------------------------------------------------------------------------</span></div><div style="margin-top:1em;margin-bottom:1em"><span style="font-weight:bold"><br></span></div></div><div>--------------------------------------------------------------------------------------------------------------------------------------------------------------</div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><span style="font-size:12.8px"><b style="color:rgb(7,55,99);font-size:12.8px">Ryan McGranaghan</b><font color="#073763"><span style="font-size:12.8px"> - Aerospace Engineering Scientist | Principal Data Scientist<br></span></font></span><div style="font-size:12.8px"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><blockquote style="margin:0px 0px 0px 40px;border:medium none;padding:0px"><span style="font-size:12.8px"><div><span style="color:rgb(68,68,68);font-family:arial,helvetica,sans-serif;font-size:x-small"><br></span></div><div><span style="color:rgb(68,68,68);font-family:arial,helvetica,sans-serif;font-size:x-small"> </span><span style="color:rgb(68,68,68);font-family:arial,helvetica,sans-serif;font-size:x-small"><span><span style="font-size:12.8px"><span style="color:rgb(68,68,68);font-family:arial,helvetica,sans-serif;font-size:x-small">ASTRA, LLC</span></span></span></span><br></div></span></blockquote><blockquote style="margin:0px 0px 0px 40px;border:medium none;padding:0px"><div><div><span style="font-size:12.8px"><span style="color:rgb(68,68,68);font-size:x-small"> </span><span style="color:rgb(68,68,68);font-size:x-small;font-family:arial,helvetica,sans-serif">282 Century Place, Suite 1000 | Louisville, CO 80027<br></span></span></div></div><div><span style="font-size:12.8px"><span style="color:rgb(68,68,68);font-size:x-small;font-family:arial,helvetica,sans-serif"> Contact</span></span></div><div><span style="font-size:12.8px"><span style="color:rgb(68,68,68);font-size:x-small;font-family:arial,helvetica,sans-serif"> WeWork c/o Ryan McGranaghan, 641 S Street NW, Washington, DC 20001<br></span></span></div><div><div><span style="font-size:12.8px"><font style="color:rgb(68,68,68);font-size:x-small" size="1" color="#444444"><font style="font-family:arial,helvetica,sans-serif"> 865.804.2169 | <a href="mailto:ryan.mcgranaghan@gmail.com" target="_blank">ryan.mcgranaghan@gmail.com</a> / <a href="mailto:rmcgranaghan@astraspace.net" target="_blank">rmcgranaghan@astraspace.net</a> | <a href="http://astraspace.net" target="_blank">astraspace.net</a></font></font><br></span></div></div></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>