<div dir="ltr"><div class="gmail_default" style=""><p style="">Dear colleagues,<br></p><p dir="ltr" id="m_1477525862258133344m_1193463238203307855docs-internal-guid-02a3bf94-7fff-72fe-43cc-6d8cee1af21f" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">The FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (</span><a href="https://www.farr-rcn.org/" target="_blank" style="text-decoration-line:none"><span style="font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">FARR RCN</span></a><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">) welcomes computer scientists, geoscientists, research data practitioners, geosciences data and tool repositories/providers, and computing infrastructure providers and research tool builders to participate in FARR's in-person workshop on </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">October 9-10, 2024 at the AGU Conference Center in Washington DC</span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">. Communities outside of geosciences with similar challenges, as well as industry, government, and non-profits with a stake in these topics are also encouraged to submit.</span></p><br style=""><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">The "FARR Workshop” aims to make advancements in the areas of AI Readiness, AI Reproducibility, and the intersection of the FAIR Principles and machine learning (ML) through</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Spurring new or deepened collaborations</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Sharing best practices and lessons learned </span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Exploring research gaps and priorities </span></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">   </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Call For Abstracts </span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">The FARR RCN seeks abstracts for oral presentations, posters, tutorials, and working sessions focused on </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">AI Readiness, AI Reproducibility, and FAIR Principles & ML, </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">especially in the geosciences, including but not limited to topics such as:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Foundation models (FM), especially as they relate to building FMs, methods for benchmarking, maintaining, extending, data formats, and related considerations</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Data-centric AI, especially as it relates to research priorities and signals for data repositories and resource providers</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Using ML and Knowledge Engineering to add context or structure to data </span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Applying the FAIR principles to data, workflows, and models for AI/ML, and techniques for automation and validation</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">What AI Readiness means for geoscience repositories and related providers: challenges, success stories, and lessons learned</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Community approaches to AI reproducibility</span></p></li><li dir="ltr" style="margin-left:36pt;list-style-type:circle;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">AI reproducibility and refactoring for LLMs and Gen-AI</span></p></li></ul><p dir="ltr" style="line-height:1.38;margin-left:36pt;margin-top:12pt;margin-bottom:12pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Oral Presentations/Posters</span></p><p dir="ltr" style="line-height:1.38;margin-left:36pt;margin-top:12pt;margin-bottom:12pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">As with many scientific meetings and conferences, these presentations will be the key communication platform.  The date/time of your presentations will be communicated to presenters upon acceptance. </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Please note: there will be a limited number of 10-15 minute oral presentations.</span></p><p dir="ltr" style="line-height:1.38;margin-left:36pt;margin-top:12pt;margin-bottom:12pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Working Sessions (including tutorials)</span></p><p dir="ltr" style="line-height:1.38;margin-left:36pt;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Working sessions (90-120 minutes) may consist of mini hack-a-thons, development sprints, tutorials or other kinds of sessions in which the </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">community is engaged</span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> to discuss particular questions, provide feedback on new technologies, or evaluate new frameworks for FAIR policies, procedures, or workflows. The goal of working sessions is to move forward on </span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">AI Readiness, AI Reproducibility, and FAIR Principles and ML</span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">.</span></p><br style=""><p style=""><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><a href="https://forms.gle/gErSZ1qJUwM5GyhQA" target="_blank">Abstract Submissions are due by June 28, 2024</a></span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></p><p style=""><span id="m_1477525862258133344m_1193463238203307855docs-internal-guid-9feae766-7fff-955b-6a02-7c0897af3a33" style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">For more information on the workshop</span><span style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">: </span><a href="https://www.farr-rcn.org/workshop24" target="_blank" style="text-decoration-line:none"><span style="font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://www.farr-rcn.org/workshop24</span></a></p><p style=""><span id="m_1477525862258133344m_1193463238203307855docs-internal-guid-fb368d07-7fff-d5f2-6c7e-f53f3b912413" style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Supported by NSF award # 2226453.</span></p><p style=""><span id="m_1477525862258133344m_1193463238203307855docs-internal-guid-fb368d07-7fff-d5f2-6c7e-f53f3b912413" style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">On behalf of the FARR RCN,</span></p><p style=""><span id="m_1477525862258133344m_1193463238203307855docs-internal-guid-fb368d07-7fff-d5f2-6c7e-f53f3b912413" style="font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">-Douglas</span></p></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><table border="0" cellpadding="2" cellspacing="2" style="border-collapse:collapse;border-spacing:0px;max-width:100%;color:rgb(51,51,51);font-size:16px;border:3px solid rgb(170,170,170);font-family:Times;line-height:14.4px"><tbody><tr><td align="center" height="71" width="71" style="padding:0px"><span style="font-size:11px"><span style="font-family:arial,helvetica,sans-serif"><a href="http://ncics.org/" style="background:0px 0px;color:rgb(204,0,0)" target="_blank"><img height="71" width="71" alt="NCICS" src="https://ncics.org/ncics/img/NCICS_logo-131x131.png" style="max-width:100%;height:auto;border:0px;vertical-align:middle;width:69px"></a></span></span></td><td valign="top" style="padding:0px"><span style="font-size:11px;font-family:arial,helvetica,sans-serif"><span style="font-weight:700">Yuhan (Douglas) Rao<br></span><b>Research Scientist</b><br><a href="https://www.mypronouns.org/what-and-why/" target="_blank">Pronoun</a>: he/him/his<br><a href="http://ncsu.edu/" style="background:0px 0px;color:rgb(204,0,0)" target="_blank">North Carolina State University</a><br><a href="https://ncics.org/" style="background:0px 0px;color:rgb(204,0,0)" target="_blank">North Carolina Institute for Climate Studies (NCICS)</a><br>151 Patton Ave, Asheville, NC 28801<br>e: <a href="mailto:yrao5@ncsu.edu" target="_blank">yrao5@ncsu.edu</a><br>o: +1 828 271 4903<br><a href="https://calendly.com/douglas_rao" target="_blank">Schedule a meeting with me</a></span></td></tr></tbody></table><i><span style="color:rgb(68,68,68)">I choose to </span><span style="color:rgb(68,68,68);font-family:arial,sans-serif;font-size:12.675px">work on a flexible schedule and across a number of time zones. My apologies for sending emails outside of your working hours.</span></i><br></div></div></div></div></div></div>