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<p class="MsoNormal" style="margin-bottom:10.0pt;line-height:115%"><a name="_Hlk66280285"><span lang="EN-US" style="font-size:9.0pt;line-height:115%;color:#5F5F5F">***Apologies for cross-posting***<o:p></o:p></span></a></p>
<span style="mso-bookmark:_Hlk66280285"></span>
<p class="MsoNormal" style="line-height:115%;vertical-align:baseline"><a name="_Hlk66197134"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F">Dear colleagues,</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F">We are excited to announce the program of the GESIS Fall Seminar in Computational Social Science 2021, held
<b>virtually</b> from 13 September to 01 October 2021. The GESIS Fall Seminar targets social scientists, data scientists, and researchers in the digital humanities that want to collect and analyze data from the web, social media, or digital text archives. Organized
along two parallel tracks, it offers six one-week courses on computational social science methods and techniques using either R or Python. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods
to data. All courses are held in English.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><b><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F">Computational Social Science with R<o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-top:12.0pt;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xAA223D757BBE443588588573DC340480"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">Introduction
to Computational Social Science with Applications in R (13-17 September</span></b><b><span lang="EN-US" style="font-size:11.5pt;color:#F79646">)</span></b></a><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F"><br>
Dr. Aleksandra Urman, University of Bern / University of Zurich (Switzerland)<br>
Max Pellert, Medical University of Vienna / Technical University of Graz (Austria)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xB5D4F105772F45B58972878A8465229C"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">Automated
Web Data Collection with R (20-24 September)</span></b></a><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F"><br>
Dr. Theresa Gessler, University of Zurich (Switzerland)<br>
Hauke Licht, University of Zurich (Switzerland)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xBAF346ACAB3249D6A6514D579A4E06E9"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">Social
Network Analysis with R (27 September-1 October)</span></b></a><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F"><br>
Dr. Silvia Fierăscu, West University of Timișoara (Romania)<br>
Ianis Rușitoru, West University of Timișoara (Romania)<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-top:24.0pt"><b><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F">Computational Social Science with Python<o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-top:12.0pt;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0x883C13C86BDD484F855B36E1CABD2A77"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">Introduction
to Computational Social Science with Python (13-17 September)</span></b></a><b><span lang="EN-US" style="font-size:11.5pt;color:#F79646"><br>
</span></b><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F">Dr. Orsolya Vásárhelyi, University of Warwick (United Kingdom)<br>
Luis Natera, Central European University Budapest (Hungary)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0x94A20B73CE614C7B828751FEFBFFFF36"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">Web
Data Collection and Natural Language Processing in Python (20-24 September)</span></b></a><b><span lang="EN-US" style="font-size:11.5pt;color:#F79646"><br>
</span></b><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F">Indira Sen, GESIS (Germany)<br>
Dr. Arnim Bleier, GESIS (Germany)<br>
Julian Kohne, GESIS (Germany)<br>
Dr. Fabian Flöck, GESIS (Germany)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x5F6D5D9F21934389B6F217EA093F8180&subID=0xD00A750313384AFC8E83C510C6662B3B"><b><span lang="EN-US" style="font-size:11.5pt;color:#ED7D31">A
Practical Introduction to Machine Learning in Python (27 September-1 October)</span></b></a><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F"><br>
Assoc. Prof. Damian Trilling, University of Amsterdam (Netherlands)<br>
Assist. Prof. Anne Kroon, University of Amsterdam (Netherlands)<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:115%">
<span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F">Courses will be held online via Zoom and can be booked either separately or as a block. There is no registration deadline, but places are limited and allocated on a first-come, first-served
basis. To secure a place in the course(s) of your choice, we strongly recommend that you register early. Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne, participants of the GESIS Fall Seminar can
obtain 2 ECTS credit points per one-week course. </span><span lang="EN-US" style="font-size:12.0pt;line-height:115%"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:10.0pt;line-height:115%"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">For detailed course descriptions and registration, please visit our
</span><a href="https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#ED7D31;mso-fareast-language:EN-US">website</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">
and sign up </span><a href="https://training.gesis.org/?site=pOverview&cat=Methodenseminar"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#ED7D31;mso-fareast-language:EN-US">here</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">!<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:10.0pt;line-height:115%"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">For further training opportunities, have a look at our
</span><a href="https://www.gesis.org/en/gesis-training/what-we-offer/summer-school-in-survey-methodology"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#ED7D31;mso-fareast-language:EN-US">Summer School in Survey Methodology</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">
and </span><a href="https://training.gesis.org/?site=pOverview&cat=Workshop"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#ED7D31;mso-fareast-language:EN-US">workshop program</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:10.0pt;text-align:justify;line-height:115%">
<span lang="EN-US" style="font-size:11.5pt;line-height:115%;color:#5F5F5F;mso-fareast-language:EN-US">Feel free to forward this announcement to other interested parties.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:10.0pt;text-align:justify;line-height:115%">
<span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Helvetica",sans-serif;color:#5F5F5F">---<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt">Dr. Marlene Mauk<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt">Scientific Coordinator<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt">GESIS Fall Seminar in Computational Social Science<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt">GESIS – Leibniz Institute for the Social Science<o:p></o:p></span></p>
<p class="MsoNormal"><a href="www.gesis.org/fallseminar"><span lang="EN-US" style="font-size:9.0pt">www.gesis.org/fallseminar</span></a><span lang="EN-US" style="font-size:9.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><a href="mailto:fallseminar@gesis.org"><span lang="EN-US" style="font-size:9.0pt">fallseminar@gesis.org</span></a><span style="font-size:9.0pt">
</span><span lang="EN-US" style="font-size:9.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:9.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:10.0pt">Please find our data protection information here:
</span><a href="https://www.gesis.org/en/institute/data-protection"><span lang="EN-US" style="font-size:10.0pt">https://www.gesis.org/en/institute/data-protection</span></a><span style="font-size:10.0pt">
</span><span lang="EN-US" style="font-size:10.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;color:#5F5F5F"><o:p> </o:p></span></p>
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