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<p class="MsoNormal"><span style="color:black">Join us!<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">Workshop on Cyberinfrastructure and Machine Learning for Digital Libraries and Archives - June 3rd at
<a href="https://2018.jcdl.org/">JCDL 2018</a> - Final schedule</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">The workshop introduces a tryptic model that connects digital libraries and archives, cyberinfrastructure, and machine learning
<span style="background:white">to stimulate research and implementation of automated methods to describe, represent, preserve, and facilitate access and reuse of large-scale scholarly data. Cyberinfrastructure refers to shared online research environments,
backed up by advanced computing resources and supported by experts. Coupled with cyberinfrastructure, machine learning methods and tools can provide digital libraries and archives with powerful resources to enhance their ability to curate, organize, represent,
and provide persistent access to large-scale collections, thus facilitating their discoverability and reuse.
</span></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black;background:white">The papers and activities address the combination of cyberinfrastructure and machine learning throughout the lifecycle of digital collections;
from data management planning, requirements gathering, description, preservation, access and publication. Bring your laptop for a day of lectures by remarkable researchers and for exciting hands-on exercises.</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">9:00-9:30 Conference chairs: Welcome and overview of the workshop’s agenda.
</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">9:30-10:00 Matthew McEniry, Jessica Trelogan, and Santi Thompson:
<i>Expanding Library Capacity and Facilitating Reuse through a Consortial Data Repository</i>
</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">10:00-10:30 Coffee break.</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">10:30-11:00 Tanya Clement, Jon Dunn, Juliet Hardesty, Chris Lacinak and Amy Rudersdorf,
<i>Audiovisual Metadata Platform Planning Project. </i></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">11:00-11:30 Will Thomas, Benjamin Galewsky, Gregory Jansen, Sandeep Satheesan, Richard Marciano, Shannon Bradley, Jong Lee, Luigi Marini and Kenton McHenry,
<i>Petabytes in Practice: Working with Collections as Data at Scale.</i></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span class="apple-tab-span"><span style="font-family:"Verdana",sans-serif;color:black">
</span></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">11:30- 12:00 Maria Esteva, Hands-on tutorial:<i> A Method for Modeling Large-scale Data Requirements to Cyberinfrastructure and Machine Learning.
</i></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span class="apple-tab-span"><span style="font-family:"Verdana",sans-serif;color:black">
</span></span><span style="font-family:"Verdana",sans-serif;color:black">After introducing how data modelling was used in the design of the Digital Rocks Portal (</span><a href="https://www.digitalrocksportal.org/"><span style="font-family:"Verdana",sans-serif;color:#1155CC">https://www.digitalrocksportal.org/</span></a><span style="font-family:"Verdana",sans-serif;color:black">),
attendees working in multi-disciplinary groups will model large-scale data use cases including analysis, curation, access and publication functions and will map those to cyberinfrastructure. You are welcomed to share large scale data curation and analysis
cases to discuss and resolve during the workshop.<i> </i></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">12:00-1:30 Lunch Break</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">1:30 -2:00 Matt Lease:
<i>What can Machine Learning and Crowdsourcing do for you? Exploring New Tools for Scalable Data Processing</i>.</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">2:00-2:30 Sachith Withana, Inna Kouper, and Beth Plale,
<i>Data Capsule Appliance for Restricted Data in Libraries.</i></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">2:30-3:00 Ruizhu Huang, Hands-on tutorial:<i> Machine Learning on Cyberinfrastructure
</i></span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span class="apple-tab-span"><span style="font-family:"Verdana",sans-serif;color:black">
</span></span><span style="font-family:"Verdana",sans-serif;color:black">Attendees will get chance to learn how to log on to a supercomputer and start an interactive sessions using a big data cluster to explore how it can be used for a machine learning project.
</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">3:00-3:30 Coffee Break
</span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">3:30-4:00 Dan Wu and Shaobo Liang,
<i>Predicting Library OPAC Users’ Cross-device Transitions.</i></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">4:00-4:30 Amit Gupta, Pankaj Jaiswal, Crispin Taylor, and Weijia Xu,
<i>Improve Accessibility of Biology Papers through Integration of Domain Information Extraction in the Publication Pipeline.
</i></span><o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-family:"Verdana",sans-serif;color:black">4:30-5:00 Closing Discussion</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span lang="ES"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="ES" style="font-size:11.0pt"><o:p> </o:p></span></p>
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