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<p class="MsoNormal"><i><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#1F497D">Forwarded on behalf of
</span></i><i><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" target="_blank"><span style="color:#1155CC">http://www.codata.org</span></a><o:p></o:p></span></i></p>
<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#1F497D">---------------------------------------------------
<o:p></o:p></span></p>
<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">The CODATA-RDA Research Data Science Summer School and Research Data Science
<b>Advanced Workshops </b>will run for their fourth and third year respectively at the International Centre for Theoretical Physics, Trieste, Italy. <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"><img border="0" width="600" height="400" id="_x0000_i1025" src="http://www.codata.org/uploads/images/3130.jpg"><o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444;border:none windowtext 1.0pt;padding:0cm">The CODATA-RDA Research Data Science Advanced Workshops will take place on
19-23 August 2019. <a href="https://e-applications.ictp.it/applicant/login/3376" target="_blank"><span style="color:#3B663C">Apply here! </span><span style="color:#3B663C"><br>
</span></a>Deadline: 18/04/2019</span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"><br>
During this activity, several applied/thematic workshops on Research Data Science run in parallel.<br>
<br>
<br>
<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l0 level1 lfo1;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444;border:none windowtext 1.0pt;padding:0cm">Bioinformatics: </span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">This
workshop focuses on building Machine Learning workflows using NGS Data. Topics include: Experimental design; Introduction to NGS data analysis; Machine Learning in NGS; and CWL. Participants should be familiar with UNIX shell and R programming language.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l0 level1 lfo1;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444;border:none windowtext 1.0pt;padding:0cm">IoT and Big Data Analytics: </span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">This
workshop presents the analysis of vast amounts of data produced by embedded devices, sensors, appliances and other data-collecting systems in real time using new processes and tools for collecting, storing and processing IoT big data, event/streaming data.
Participants should be familiar with software installation and programming in R or Java or Python. Professionals & corporate entities should apply for this workshop via the ITU Academy.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l0 level1 lfo1;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444;border:none windowtext 1.0pt;padding:0cm">Climate Data Sciences: </span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">This
workshop will introduce Cloud-Computing based Data access, processing and visualisation tools for Climate Science, including the Copernicus climate data services platforms and the CMIP Earth System Grid. Participants will work in small project teams and should
have a background in Climate Sciences and/or climate modeling.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l0 level1 lfo1;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444;border:none windowtext 1.0pt;padding:0cm">Extreme Sources of Data: </span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">This
workshop introduces the basics relative to a cut-and-count particle physics analysis as performed in the ATLAS Collaboration (Large Hadron Collider). Topics to be covered include phenomenological, experimental and data-analysis aspects of the Standard Model;
software development and tools for analysis and reproducible science and sharing. Participants should have taken at least one course on Particle Physics at High Education level.<o:p></o:p></span></p>
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<p style="mso-margin-top-alt:4.5pt;margin-right:0cm;margin-bottom:4.5pt;margin-left:0cm;vertical-align:top;outline:0px;font-weight:inherit;font-style:inherit">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#333333"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">Individuals seeking an introduction to Research Data Science can apply to the <strong><span style="font-family:"Century Gothic",sans-serif;border:none windowtext 1.0pt;padding:0cm"><a href="http://indico.ictp.it/event/8706/" target="_blank"><span style="color:#3B663C">Summer
School</span></a></span></strong> that runs immediately before the workshops.<o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">For more information from the ICTP site go to: <strong><span style="font-family:"Century Gothic",sans-serif;border:none windowtext 1.0pt;padding:0cm"><a href="http://indico.ictp.it/event/8847/" target="_blank"><span style="color:#3B663C">http://indico.ictp.it/event/8847/</span></a></span></strong><a href="http://indico.ictp.it/event/8706/" target="_blank"><span style="color:#3B663C;border:none windowtext 1.0pt;padding:0cm"><br>
</span></a><o:p></o:p></span></p>
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<p style="mso-margin-top-alt:4.5pt;margin-right:0cm;margin-bottom:4.5pt;margin-left:0cm;vertical-align:top;outline:0px;font-weight:inherit;font-style:inherit">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#333333"> <o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#3B663C">Grants:<o:p></o:p></span></h3>
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<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l1 level1 lfo2;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">A limited number of grants are available to support the attendance of selected participants from developing countries.Professionals and corporate
entities should register/apply for the Advanced Workshop on IoT and Big-Data Analytics via the ITU Academy platform.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:0cm;text-indent:-18.0pt;mso-list:l1 level1 lfo2;vertical-align:top">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#444444"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"><o:p> </o:p></span></p>
<h3 style="mso-margin-top-alt:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;vertical-align:top;outline:0px;font-style:inherit">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#3B663C">Sponsors<o:p></o:p></span></h3>
<p style="mso-margin-top-alt:4.5pt;margin-right:0cm;margin-bottom:4.5pt;margin-left:0cm;vertical-align:top;outline:0px;font-weight:inherit;font-style:inherit">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#333333"><img border="0" width="600" height="136" id="_x0000_i1026" src="http://www.codata.org/uploads/images/2019-triste-training-sponsors.png"><o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<h3 style="margin:0cm;margin-bottom:.0001pt;vertical-align:top"><strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#3B663C;border:none windowtext 1.0pt;padding:0cm">About the CODATA-RDA Research Data Science Summer School, 5-16
August 2019</span></strong><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#3B663C"><o:p></o:p></span></h3>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science. Contemporary
research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. This includes the principles and practice of Open Science and research data management
and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.<o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">Find out more about the schools <strong><span style="font-family:"Century Gothic",sans-serif;border:none windowtext 1.0pt;padding:0cm"><a href="http://www.codata.org/working-groups/research-data-science-summer-schools" target="_blank"><span style="color:#3B663C">here</span></a></span></strong> where
you will find links to information about past schools in 2016, 2017 and 2018 held in Trieste and São Paulo. Watch a video about the Schools of Research Data Science <strong><span style="font-family:"Century Gothic",sans-serif;border:none windowtext 1.0pt;padding:0cm"><a href="https://vimeo.com/299263596" target="_blank"><span style="color:#3B663C">here</span></a></span></strong><o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"> <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444">The School of Research Data Science has enjoyed a remarkable success and clearly responds to a burning need for data skills
among Early Career Researchers and others involved in the research process, internationally. <o:p></o:p></span></p>
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<p class="MsoNormal" style="vertical-align:top"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#444444"><br>
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<o:p></o:p></span></p>
<h3 style="mso-margin-top-alt:6.0pt;margin-right:0cm;margin-bottom:16.5pt;margin-left:0cm;vertical-align:top">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#3B663C"> ICTP School Poster for DataTrieste 2019<o:p></o:p></span></h3>
<p style="mso-margin-top-alt:4.5pt;margin-right:0cm;margin-bottom:4.5pt;margin-left:0cm;vertical-align:top;outline:0px;font-weight:inherit;font-style:inherit">
<span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif;color:#333333"><img border="0" width="636" height="933" id="_x0000_i1027" src="http://www.codata.org/uploads/images/Poster_3373.png"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">Thanks,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">Asha<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" target="_blank"><span style="color:#1155CC">http://www.codata.org</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">E-Mail: <a href="mailto:asha@codata.org" target="_blank"><span style="color:#1155CC">asha@codata.org</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">Tel (Office): +33 1 45 25 04 96<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Century Gothic",sans-serif">CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE<o:p></o:p></span></p>
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