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<i>See the message below. Our brilliant alum, Dr. Ben Rogers will be speaking for the virtual session of the Kansas City R User Group and would love a good turnout..</i><br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>From:</b> Benjamin Rogers <benjaminrogersphd@gmail.com><br>
<b>Sent:</b> Tuesday, December 1, 2020 3:28 PM<br>
<b>Subject:</b> Speaking, recruiting for the R User group</font>
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<div class="">I’m emailing because I’ll be speaking at a virtual session of the <b>
Kansas City R User group at 1 central on December 12th</b>. I’m trying to get a good turnout and maybe even a second speaker and was wondering if you could share this with the department. <br>
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<div class="">Best,</div>
<div class="">Ben</div>
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<div class=""><a href="https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.meetup.com%2FKansas-City-R-Users-Group%2Fevents%2F274453844%2F&data=04%7C01%7Clpicke%40ku.edu%7Cf91b215b0b0745bbc80208d8963ffefb%7C3c176536afe643f5b96636feabbe3c1a%7C0%7C0%7C637424548891914366%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=D6Y7S9LpdAR59D8vLzVQhAwkklv2%2FjY7kebOrmVFnaY%3D&reserved=0" originalsrc="https://www.meetup.com/Kansas-City-R-Users-Group/events/274453844/" shash="AkWoD/ox0UwWSewIePnutOycMzsLST6ZdS3RzRmzBcVX0Ea3CCZCHRcPyahgKsmFVuztBNjv4U16XPFhKLvG4G5F75fzc5QpIUbLM6azf/hYZi+Q9rPA28NemKB5DcKXyM7rLq0DEXrjsi7JzJCbXhO1HgXMQ718TCpQwPvmBWY=" class="">https://www.meetup.com/Kansas-City-R-Users-Group/events/274453844/</a></div>
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<div class="">A Free Solution to GDELT: Retrieving, Cleaning, and Saving Data from the World's Largest Global Event Database </div>
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<div class="">Abstract: The Global Database of Events Language and Tone, or GDELT for short, is the world's largest database of interactions between global actors. It is currently hosted by Google, and requires the use of their interface, Google BigQuery, in
order to obtain records, which can be expensive in large quantities. This presentation will highlight an approach that allows access to archived data from GDELT which does not require BigQuery, and only saves the subset of data needed to answer a research
question.</div>
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