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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">Grad students, FYI (courtesy of Marissa)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">Viorel<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Dyck, Marissa <md441717@ohio.edu>
<br>
<b>Sent:</b> Wednesday, April 14, 2021 1:52 PM<br>
<b>To:</b> Popescu, Viorel <popescu@ohio.edu><br>
<b>Subject:</b> Fw: SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price<o:p></o:p></span></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
<div>
<p class="MsoNormal" style="background:white"><span style="font-family:"Calibri",sans-serif;color:black">see below; may want to share via OCEES<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p><span style="font-family:"Calibri",sans-serif;color:black">Marissa Dyck<o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">she/her</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333"><a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvioreldpopescu.com%2F&data=04%7C01%7Cocees%40listserv.ohio.edu%7Cfb2b5b35d78b4a5f36df08d8ff8a89bc%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637540317770755565%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=iDKgmI4bFpaePmiF0krXiolYrq5S%2FtfQOtMtYM6cCKk%3D&reserved=0" originalsrc="https://vioreldpopescu.com/" shash="M0jsi+pEvYVB++lcVtWVNZHrHZdkcu8n7eUSMEQBZUCYcGF+2vvbvGJfk1WGf6TcDp8phalH82VMYO4WruGpL72x1bne7sebNrPm6kT65AQ1lw/5qE2PBik4cRPdVWOpHN0ZnTo67fNCOSovb0g6IebNXdJYkEHhLqB2YevpNAA=" title=" https://vioreldpopescu.com/">Popescu
lab</a></span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
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<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">PhD Candidate</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Department of Biological Sciences</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Ohio University</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Irvine 320</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"> NZP-SCBI Training <<a href="mailto:scbitraining@si.edu">scbitraining@si.edu</a>><br>
<b>Sent:</b> Wednesday, April 14, 2021 10:55 AM<br>
<b>Subject:</b> SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price</span>
<o:p></o:p></p>
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<p class="MsoNormal"> <o:p></o:p></p>
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<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Greetings,<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">You’re receiving this message because you’ve either applied to or attended on of our previous programs here at the Smithsonian-Mason School of Conservation. Over this past
year, SMSC has worked to retool some of our most popular training programs into an online format. We’ve had some great success with a few courses so far this year and are now excited to announce that we’ll be offering another one of our programs in a new online
format. We expect this course to fill to capacity before the application deadline of July 26<sup>th</sup>, so we encourage anyone interested in attending this course to apply and register as soon as possible to secure your seat. Remember that only registration
(not course acceptance) guarantees your place in the course. Please share this announcement with any colleagues you think may be interested!<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt;font-family:"Calibri",sans-serif"><a href="https://smconservation.gmu.edu/programs/graduate-and-professional/ecological_data-ol/">Managing Ecological Data in R: Introduction to Data Science and the Art
of Wrangling for Ecologists</a> </span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Dates:</span></b><span style="font-family:"Calibri",sans-serif"> Aug 23 – Oct 11, 2021</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Cost:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> $500.00 (limited scholarships available for citizens of less-developed countries)<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Description:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Wrangling and manipulating datasets can be one of the biggest hurdles to overcome in analyzing and
publishing your research. In many cases, researchers and students spend more time organizing, formatting and cleaning data then they do actually using it to answer their research questions. Yet there are many tools available, particularly in the R environment,
to make this stage of your research efficient, and error-free. In addition, R provides numerous tools to streamline and professionalize communication of your results. As big data increasingly becomes a component of ecological study, there is a developing need
for understanding how to maintain large and complex datasets, prepare data for analysis, and develop a reproducible workflow.
<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Dr. Brian Evans has designed this course, now for the first time in an online format, to create a flexible toolbox for ecologists and environmental scientists who seek to
better manage and use data. Over 7.5 weeks participants will explore the management of ecological data using Program R. They will focus on the structure and linguistics of data in R, how to integrate R into a modern data science workflow, and explore how to
think about ecological data in new ways. Participants will gain an in-depth understanding of the tidyverse package. Through this process, participants will develop a flexible skillset for managing and exploring data. Each weekly module will consist of recorded
lectures and guided lab activities using real world ecological applications. R packages used in the course will include tidyr, dplyr, lubridate, stringr, purr, tmap, and shiny among others. See our course page for a complete list of course topics.<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Format:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> This course is taught in an asynchronous format over 7.5 weeks, with 2 weekly opportunities for live feedback
and instructor interaction over Zoom. Our new format allows for maximum flexibility for participants juggling complicated work schedules, classes and other commitments. This course is available for professional training, but can also be taken for 3 graduate
credits at additional cost through George Mason University.<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">All the best,<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">The SMSC Team<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">Grad students, FYI (courtesy of Marissa)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">Viorel<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Dyck, Marissa <md441717@ohio.edu>
<br>
<b>Sent:</b> Wednesday, April 14, 2021 1:52 PM<br>
<b>To:</b> Popescu, Viorel <popescu@ohio.edu><br>
<b>Subject:</b> Fw: SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price<o:p></o:p></span></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
<div>
<p class="MsoNormal" style="background:white"><span style="font-family:"Calibri",sans-serif;color:black">see below; may want to share via OCEES<o:p></o:p></span></p>
</div>
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<div>
<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p><span style="font-family:"Calibri",sans-serif;color:black">Marissa Dyck<o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">she/her</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
<div>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333"><a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvioreldpopescu.com%2F&data=04%7C01%7Cocees%40listserv.ohio.edu%7Cfb2b5b35d78b4a5f36df08d8ff8a89bc%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637540317770755565%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=iDKgmI4bFpaePmiF0krXiolYrq5S%2FtfQOtMtYM6cCKk%3D&reserved=0" originalsrc="https://vioreldpopescu.com/" shash="M0jsi+pEvYVB++lcVtWVNZHrHZdkcu8n7eUSMEQBZUCYcGF+2vvbvGJfk1WGf6TcDp8phalH82VMYO4WruGpL72x1bne7sebNrPm6kT65AQ1lw/5qE2PBik4cRPdVWOpHN0ZnTo67fNCOSovb0g6IebNXdJYkEHhLqB2YevpNAA=" title=" https://vioreldpopescu.com/">Popescu
lab</a></span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
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<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">PhD Candidate</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Department of Biological Sciences</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Ohio University</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#333333">Irvine 320</span><span style="font-family:"Calibri",sans-serif;color:black"><o:p></o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
<p><span style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black"> NZP-SCBI Training <<a href="mailto:scbitraining@si.edu">scbitraining@si.edu</a>><br>
<b>Sent:</b> Wednesday, April 14, 2021 10:55 AM<br>
<b>Subject:</b> SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price</span>
<o:p></o:p></p>
<div>
<p class="MsoNormal"> <o:p></o:p></p>
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<div>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Greetings,<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">You’re receiving this message because you’ve either applied to or attended on of our previous programs here at the Smithsonian-Mason School of Conservation. Over this past
year, SMSC has worked to retool some of our most popular training programs into an online format. We’ve had some great success with a few courses so far this year and are now excited to announce that we’ll be offering another one of our programs in a new online
format. We expect this course to fill to capacity before the application deadline of July 26<sup>th</sup>, so we encourage anyone interested in attending this course to apply and register as soon as possible to secure your seat. Remember that only registration
(not course acceptance) guarantees your place in the course. Please share this announcement with any colleagues you think may be interested!<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-size:14.0pt;font-family:"Calibri",sans-serif"><a href="https://smconservation.gmu.edu/programs/graduate-and-professional/ecological_data-ol/">Managing Ecological Data in R: Introduction to Data Science and the Art
of Wrangling for Ecologists</a> </span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Dates:</span></b><span style="font-family:"Calibri",sans-serif"> Aug 23 – Oct 11, 2021</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Cost:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> $500.00 (limited scholarships available for citizens of less-developed countries)<o:p></o:p></span></p>
<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> <o:p></o:p></span></p>
<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Description:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Wrangling and manipulating datasets can be one of the biggest hurdles to overcome in analyzing and
publishing your research. In many cases, researchers and students spend more time organizing, formatting and cleaning data then they do actually using it to answer their research questions. Yet there are many tools available, particularly in the R environment,
to make this stage of your research efficient, and error-free. In addition, R provides numerous tools to streamline and professionalize communication of your results. As big data increasingly becomes a component of ecological study, there is a developing need
for understanding how to maintain large and complex datasets, prepare data for analysis, and develop a reproducible workflow.
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<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Dr. Brian Evans has designed this course, now for the first time in an online format, to create a flexible toolbox for ecologists and environmental scientists who seek to
better manage and use data. Over 7.5 weeks participants will explore the management of ecological data using Program R. They will focus on the structure and linguistics of data in R, how to integrate R into a modern data science workflow, and explore how to
think about ecological data in new ways. Participants will gain an in-depth understanding of the tidyverse package. Through this process, participants will develop a flexible skillset for managing and exploring data. Each weekly module will consist of recorded
lectures and guided lab activities using real world ecological applications. R packages used in the course will include tidyr, dplyr, lubridate, stringr, purr, tmap, and shiny among others. See our course page for a complete list of course topics.<o:p></o:p></span></p>
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<p class="xmsonormal"><b><span style="font-family:"Calibri",sans-serif">Format:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> This course is taught in an asynchronous format over 7.5 weeks, with 2 weekly opportunities for live feedback
and instructor interaction over Zoom. Our new format allows for maximum flexibility for participants juggling complicated work schedules, classes and other commitments. This course is available for professional training, but can also be taken for 3 graduate
credits at additional cost through George Mason University.<o:p></o:p></span></p>
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<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">All the best,<o:p></o:p></span></p>
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<p class="xmsonormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">The SMSC Team<o:p></o:p></span></p>
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