BEGIN:VCALENDAR VERSION:2.0 PRODID:-//TYPO3/NONSGML Calendarize//EN BEGIN:VEVENT UID:calendarize-gesis-fall-seminar-in-computational-social-science DTSTAMP:20260701T091712Z DTSTART;VALUE=DATE:20260831 DTEND;VALUE=DATE:20260930 SUMMARY:GESIS Fall Seminar in Computational Social Science DESCRIPTION:The GESIS Fall Seminar in Computational Social Science feature s introductory and advanced courses on collecting and analyzing digital be havioral data from the web\, social media\, or digital archives. Courses a re taught by leading experts in the field and offer plenty of opportunitie s to learn from and connect with other like-minded researchers. Lectures i n each course are complemented by hands-on exercises\, giving you the oppo rtunity to directly implement your newly acquired skills and knowledge. \ nIf you are new to computational social science\, you may want to get an o verview of debates and methods in the field in one of our blended learning introductions to computational social science with R or Python. If you plan to collect your own textual or visual data from the web\, have a look at web data collection with R or Python\, or learn how to collect data with smartphones and analyze the resulting data with intensive longitudin al methods. For those interested in data analysis\, we offer courses on m achine learning for text analysis for beginners\, cutting-edge text analy sis methods\, computer vision\, causal machine learning\, and agent-bas ed modeling.\nFor those without prior experience in R or Python and those who would like a refresher\, we additionally offer two introductory online pre-courses for R and Pythonin the week before the start of the Fall Semi nar – join those for optimal preparation! \nAll courses in the GESIS Fa ll Seminar are stand-alone and can be booked separately – feel free to m ix and match courses to build your own personal Fall Seminar experience! C ontact us if we can assist with tailored recommendations for possible cour se combinations or if you have any other questions. Learn more about our  course feesand ECTS credits on our website.\nMore Information\n X-ALT-DESC;FMTTYPE=text/html:

The GESIS Fall Seminar in Computational Social Science features introdu ctory and advanced courses on collecting and analyzing digital behavioral data from the web\, social media\, or digital archives. Courses are taught by leading experts in the field and offer plenty of opportunities to lear n from and connect with other like-minded researchers. Lectures in each co urse are complemented by hands-on exercises\, giving you the opportunity t o directly implement your newly acquired skills and knowledge. \;

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If you are new to computational social science\, you may want to get a n overview of debates and methods in the field in one of our blended learn ing introductions to computational social science with \;R or&nbs p\;Python. If you plan to collect your own textual or visual data fro m the web\, have a look at web data collection with \;R or \; Python\, or learn how to collect data with smartphones and analyze th e resulting data with \;intensive longitudinal methods. For those interested in data analysis\, we offer courses on \;machine learning for text analysis for beginners\, \;cutting-edge text analysis m ethods\, \;computer vision\, \;causal machine learning\, and \;agent-based modeling.

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For those without prior experience in R or Python and those who would like a refresher\, we additi onally offer two introductory online pre-courses for R and Pythonin the week befor e the start of the Fall Seminar – join those for optimal preparation!&nb sp\;

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All courses in the GESIS Fall Seminar are stand-alone and can be booked separately – feel free to mix and match courses to build your own personal Fall Seminar experience! Contact us if we can assist with tailored recommendations for possible course combinations or if you have any other questions. Learn mor e about our \;course feesand \;ECTS credits on our website.

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More Information

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