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<a name="_Hlk66280285"><span lang="EN-US" style="font-size:10.0pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">***Apologies for cross-posting***<o:p></o:p></span></a></p>
<span style="mso-bookmark:_Hlk66280285"></span>
<p class="paragraph" style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in;vertical-align:baseline">
<a name="_Hlk66197134"><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">Dear colleagues,</span></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">We are excited to announce the program of the GESIS Fall Seminar in Computational Social Science 2024. The Fall Seminar takes place from 30 August to 27 September
and offers a variety of introductory and advanced courses in computational social science methods in Mannheim and online. It targets researchers who want to collect and analyze data from the web, social media, or digital text archives.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">Participants can pick from nine week-long courses, including introductory courses on Computational Social Science, Web Data Collection, and Machine Learning,
and more specialized topics such as Automated Image and Video Data Analysis, Deep Learning for Advanced Computational Text Analysis, Agent-Based Computational Modeling, and Network Analysis. Lectures in each course are complemented by hands-on exercises giving
participants the opportunity to apply these methods to data. All courses are taught in English.</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5236DF24115A4DABBA25118B4A81384D"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Computational Social Science with R</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [30 August-05 September | online]<br>
Johannes B. Gruber, University of Amsterdam<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5E5A988B9BD54EFAA0AF4E1F5A2BB90E"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Computational Social Science with Python</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [30 August-05 September | online]<b><br>
</b>John McLevey, Waterloo University<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x273CC5299BB64921810719E608FE35F4"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Web Data Collection
with Python and R</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [09-13 September | Mannheim]<br>
Iulia Cioroianu, University of Bath<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x56A68848B2E44904ABF43519D7C1C264"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Social Network Analysis with R</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [16-20 September | Mannheim]<br>
Philip Leifeld, University of Manchester<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x7D2B2A59BBD545D782DBADC8D1C2FF04"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Machine Learning for Text Analysis with Python</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [16-20 September | Mannheim]<br>
Marieke van Hoof, University of Amsterdam; Rupert Kiddle, Vrije Universiteit Amsterdam<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x3DF5ACA641EC4A11B5493C9B467953DF"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Agent-Based
Computational Modeling</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [16-20 September | Mannheim]<br>
Michael Mäs, Karlsruhe Institute of Technology; Fabio Sartori, Karlsruhe Institute of Technology<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x262CEFE56F0F4C0E94F580B8F15B06FD"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Advanced Social
Network Analysis with R</span></b></a><span style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">
</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">[23-27 September | Mannheim]<br>
Michal Bojanowski, Kozminski University & Autonomous University of Barcelona</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5E3841FAD71B4B26B7127849A5D3B1A3"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">From Embeddings
to LLMs: Advanced Text Analysis with Python</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [23-27 September | Mannheim]<br>
Hauke Licht, University of Cologne; Lisa Maria Lechner, University of Innsbruck</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0xBD33BEDEE00341E8B1DD9868DF6AAD62"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Automated Image
and Video Data Analysis with Python</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [23-27 September | online]<br>
Andreu Casas, Royal Holloway University of London; Felicia Loecherbach, University of Amsterdam<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">For those without any prior experience in R or Python and those who’d like a refresher, we’re additionally offering two online pre-courses, “</span><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xACF817FBFAB6489596D97F6C92AD4397"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to R</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">” (27-29 August) and “</span><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xC5AE51DCFC334BB5B8FB168D25008253"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Python</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">” (26-29 August).<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">All courses are stand-alone and can be booked separately – feel free to mix and match to build your own personal Fall Seminar experience that perfectly suits
your needs and interests. 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.
<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:.2in;margin-left:0in;mso-margin-top-alt:0in;mso-para-margin-right:0in;mso-para-margin-bottom:1.2gd;mso-para-margin-left:0in">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">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:11.5pt;font-family:"Source Sans Pro",sans-serif"> <span style="color:#5F5F5F">More information is available
</span></span><a href="https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science/ects-credits" target="_blank"><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646;mso-fareast-language:EN-US">here</span></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">.</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">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;font-family:"Source Sans Pro",sans-serif;color:#F79646">website</span></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">
and sign up </span><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5236DF24115A4DABBA25118B4A81384D"><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">here</span></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">!<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:6.0pt"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">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%;font-family:"Source Sans Pro",sans-serif;color:#F79646">Summer School in Survey Methodology</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">
and </span><a href="https://www.gesis.org/en/gesis-training/what-we-offer/workshops-tailored-to-your-needs"><span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif;color:#F79646">workshop program</span></a><span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">.</span><span lang="EN-US" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif">
</span><span lang="EN-GB" style="font-size:11.5pt;line-height:115%;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">In particular, do not miss the upcoming workshops on advanced statistical modeling in R and Stata:<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:6.0pt;line-height:normal"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0xCE4D35A07C3340FCBF7E73FB7B36F9A1"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Introduction
to Deep Learning in R</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [24-26 April | online]<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:6.0pt;line-height:normal"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x00842928F3624B7CB1360F9140C47DF1"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Advanced
Bayesian Statistical Modeling in R and Stan</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [06-08 May | online]<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:6.0pt;line-height:normal"><a href="https://training.gesis.org/?site=pDetails&child=full&pID=0x2F25EA669F57436C8E26660EDC4A6425"><b><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">Using
Simulation Studies to Evaluate Statistical Methods</span></b></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"> [10-11 October | online]<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">Never miss a GESIS Training course by subscribing to our</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif">
</span><a href="https://www.gesis.org/en/gesis-training/about-us/newsletter"><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#F79646">newsletter</span></a><span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">Thank you for forwarding this announcement to other interested parties.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F">Best wishes,<br>
Your GESIS Fall Seminar team<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;text-align:justify;line-height:normal">
<span lang="EN-US" style="font-size:11.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">---<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:6.0pt;line-height:normal"><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">GESIS – Leibniz Institute for the Social Sciences<br>
GESIS Fall Seminar in Computational Social Science<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:.2in;mso-para-margin-bottom:1.2gd;line-height:normal">
<span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">email:</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">
</span><a href="mailto:fallseminar@gesis.org"><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">fallseminar@gesis.org</span></a><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">
<br>
web:</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">
</span><a name="_Hlk509563850"></a><a href="http://www.gesis.org/fallseminar"><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">www.gesis.org/fallseminar</span></a><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif"><br>
</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">twitter:
</span><a href="https://twitter.com/gesistraining"><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">https://twitter.com/gesistraining</span></a><u><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif"><br>
</span></u><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:#5F5F5F;mso-fareast-language:DE">facebook:</span><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">
</span><a href="https://www.facebook.com/GESISTraining"><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif">https://www.facebook.com/GESISTraining</span></a><u><span lang="EN-US" style="font-size:10.5pt;font-family:"Source Sans Pro",sans-serif;color:blue"><o:p></o:p></span></u></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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