<div dir="ltr"><div><img src="cid:ii_jz2t0jly0" alt="CDAC Refresh Logo (1).png" width="542" height="167"><br></div><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">Today is the first installment of our new series with the <a href="http://rcc.uchicago.edu/" target="_blank"><span style="color:maroon;border:1pt none windowtext;padding:0in">Research Computing Center</span></a> called <strong><span style="border:1pt none windowtext;padding:0in">Data Therapy</span></strong>. These hour-long gatherings are meant to be a very informal introduction to a new and useful data science tool, led by a UChicago researcher who has used it in their work. The sessions are open to all faculty, students and staff at the University.<u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">If you’re interested in text analysis, spatial data science, collaborative and reproducible code, or just want to hang out with the UChicago data science community, come by the <a href="https://rcc.uchicago.edu/resources/visualization" target="_blank"><span style="color:maroon;border:1pt none windowtext;padding:0in">RCC Visualization Lab in the John Crerar Library</span></a> on the following Thursday afternoons, starting at 3:30 PM:<u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-size:12pt;font-family:Helvetica;color:black;border:1pt none windowtext;padding:0in">August 8: Eamon Duede, Committee on Conceptual and Historical Studies of Science and Philosophy</span></strong><span style="font-size:12pt;font-family:Helvetica;color:black"><u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">How to use shallow neural network <strong><span style="border:1pt none windowtext;padding:0in">Word Embeddings</span></strong> to capture the context of science, scholarship, and society<u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-size:12pt;font-family:Helvetica;color:black;border:1pt none windowtext;padding:0in">August 22: Marynia Kolak, Center for Spatial Data Science</span></strong><span style="font-size:12pt;font-family:Helvetica;color:black"><u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">How to extend dimension reduction and multivariate clustering techniques for spatial data in <strong><span style="border:1pt none windowtext;padding:0in">GeoDa</span></strong>, with <strong><span style="border:1pt none windowtext;padding:0in">PostGIS</span></strong> and <strong><span style="border:1pt none windowtext;padding:0in">R</span></strong> connections<u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-size:12pt;font-family:Helvetica;color:black;border:1pt none windowtext;padding:0in">September 5: Peter Carbonetto, Research Computing Center</span></strong><span style="font-size:12pt;font-family:Helvetica;color:black"><u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">How we use <strong><span style="border:1pt none windowtext;padding:0in">git</span></strong>, <strong><span style="border:1pt none windowtext;padding:0in">GitHub</span></strong>, <strong><span style="border:1pt none windowtext;padding:0in">R Markdown</span></strong> and a new <strong><span style="border:1pt none windowtext;padding:0in">R</span></strong> package, <strong><span style="border:1pt none windowtext;padding:0in">workflowr</span></strong>, to encourage collaboration and develop reproducible research code<u></u><u></u></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><strong><span style="font-size:12pt;font-family:Helvetica;color:black;border:1pt none windowtext;padding:0in">Location</span></strong><span style="font-size:12pt;font-family:Helvetica;color:black">: The Visualization Lab is located in the Media Arts Data and Design Center on the first floor of the John Crerar Library, 5730 S. Ellis Avenue. We’ll provide refreshments. Hope to see you there!</span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black"><br></span></p><p style="color:rgb(80,0,80);margin:0in 0in 0.0001pt;vertical-align:baseline;box-sizing:border-box;outline:0px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:12pt;font-family:Helvetica;color:black">- <a href="http://cdac.uchicago.edu">Center for Data and Computing</a></span></p><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><i style="font-size:12.8px">Rob Mitchum</i></div><div dir="ltr"><i>Associate Director of Communications for Data Science and Computing<br></i><div style="font-size:12.8px"><i style="font-size:12.8px">University of Chicago</i><br></div><div style="font-size:12.8px"><i style="font-size:12.8px"><a href="mailto:rmitchum@ci.uchicago.edu" target="_blank">rmitchum@uchicago.edu</a></i><br></div><div style="font-size:12.8px"><i style="font-size:12.8px">773-484-9890</i><br></div></div></div></div></div></div></div></div></div>