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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Dear colleagues</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Since we have not received enough AGU session announcements… I thought I would share one (a particularly exciting and new session). </span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">It’s important that the CEDAR community becomes involved in the AGU Earth and Space Science Informatics (ESSI) section, so we are convening a radically new session offered through
the ESSI section and cross-listed and organized with the AGU Space Physics and Aeronomy (SPA) and Earth Science (ES) Sections. We welcome you to participate in this importance conversation around
<i>convergence</i>. </span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">A full announcement is below.
<b>Please consider contributing to this unique opportunity to optimize the visibility of your excellent work across communities</b>. </span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">We looking forward to your participation!</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Warm Regards,</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Ryan McGranaghan (<a href="mailto:ryan.mcgranaghan@jpl.nasa.gov">ryan.mcgranaghan@jpl.nasa.gov</a>)</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Kerstin Lehnert (<a href="mailto:lehnert@ldeo.columbia.edu">lehnert@ldeo.columbia.edu</a>)</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Derek Posselt (<a href="mailto:Derek.Posselt@jpl.nasa.gov">Derek.Posselt@jpl.nasa.gov</a>)</span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Times New Roman",serif">We eagerly invite your participation in an exciting session at Fall AGU 2018 devoted to new directions, innovation, and convergence between scientific disciplines through
data science and informatics: <a href="https://agu.confex.com/agu/fm18/gateway.cgi">Convergence in Space Physics and Earth Science: Discovery through machine learning</a>. We encourage potential speakers and thought-leaders to contact us to be involved. </span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Times New Roman",serif">This session is targeted to bring together a multi-disciplinary group from across the disciplines of space physics, earth science, statistical analysis, and computer and
data sciences to:</span><o:p></o:p></p>
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<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Times New Roman",serif">Discuss the application of cutting-edge data science approaches (e.g., machine learning) across space physics and earth science;</span><o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Times New Roman",serif">Provide a forum to navigate the intersection between innovative data science tools and established methods and models; and</span><o:p></o:p></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Times New Roman",serif">Address the <a href="https://www.nsf.gov/od/oia/convergence/index.jsp">
convergence</a> between scientific disciplines through data science and methodology transfer.
</span><o:p></o:p></li></ol>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Times New Roman",serif">The session abstract and details are: </span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">Session Details</span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">: </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black">Session ID:</span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black"> 46030 </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black">Session Title:</span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black"> IN018. Convergence in Space Physics and Earth Science:
Discovery through machine learning </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black">Section/Focus Group:</span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black;background:white"> Earth and Space Science Informatics </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif;color:black">View Session Details: </span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif"><a href="https://agu.confex.com/agu/fm18/gateway.cgi"><span style="color:#1155CC">https://agu.confex.com/agu/fm18/gateway.cgi</span></a><span style="color:black"> </span></span><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">Abstract</span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">: </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Times New Roman",serif">Machine learning is increasingly used in a wide variety of scientific disciplines to advance knowledge in the age of big data and novel data analytics. However, application
of machine learning algorithms to Earth and Space Science datasets is still in its infancy, and the question of how to incorporate uncertainties and physics knowledge remains unanswered. The common paradigm of applying machine learning to create new knowledge
in both Space Physics and Earth Science provides a foundation to discuss their <a href="https://www.nsf.gov/od/oia/convergence/index.jsp">
<b><i>convergence</i></b></a>. Besides being the pinnacle of evolutionary integration across disciplines, convergent research is now a central investment focus at both NASA and NSF. We invite contributions that exemplify the application of machine learning
in Space Physics and Earth Sciences. The session will spark discussion of how machine learning methodology transfer may serve to bridge disciplines, leading to the opening of new research vistas and collaboration among researchers seeking future funding opportunities.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">The abstract submission deadline<span style="color:#464646"> is Aug. 1, 23:59 EDT</span></span></b><span style="font-size:10.5pt;font-family:"Times New Roman",serif">
<span style="color:#464646">(</span><a href="https://fallmeeting.agu.org/2018/abstract-submissions/"><span style="color:#464646">Submit here</span></a><span style="color:#464646">). </span></span><span style="font-size:10.5pt">
</span><o:p></o:p></p>
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