Liebe Kolleg:innen,
gern möchte ich Euch/Sie auf das GESIS Fall Seminar in Computational Social Science hinweisen und leite hierzu die Mail der Koordinatorinnen weiter.
Beste Grüße aus Köln André (Ernst)
------------------------------------------------------------- ***Apologies for cross-posting***
Dear colleagues,
We are excited to announce the program of the GESIS Fall Seminar in Computational Social Science 2022: Join us at the new GESIS premises in Mannheim from 05 September to 23 September and choose from a variety of introductory and advanced courses on computational social science methods!
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. Its courses are taught by both GESIS and international experts and cover methods and techniques of working with digital behavioral data ("big data").
Week 1 comprises courses on the foundations of working with digital behavioral data, courses in Week 2 focus on the collection and management of big data, and courses in Week 3 cover different techniques for analyzing these data. Lectures in each course are complemented by hands-on exercises allowing participants to apply these methods to data. All courses are held in English.
Week 1 (05 - 09 September): Foundations of Working with Digital Behavioral Data
Introduction to Computational Social Science with Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0xC5DFEAD4963B441EAAE3CFF2D786EEB4 Dr. Aleksandra Urman, University of Zurich Dr. Max Pellert, Sony Computer Science Lab Rome
Introduction to Computational Social Science with Pythonhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0xD5592250CB29401494092DB4FD3F47B8 Prof. Dr. Milena Tsvetkova, London School of Economics Dr. Patrick Gildersleve, London School of Economics
Tools for Efficient Workflows, Smooth Collaboration and Optimized Research Outputshttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0x0ECFCCE392F64C7281C5FDE598767F2F Dr. Julia Schulte-Cloos, University of Munich Lukas Lehner, University of Oxford
Week 2 (12 - 16 September): Collection and Management of Digital Behavioral Data
Automated Web Data Collection with Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0x44757916B99049C88889E388D33CF4EE Dr. Theresa Gessler, University of Zurich Dr. Hauke Licht, University of Cologne
Automated Web Data Collection with Pythonhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0xCE318FE52487447889F1ED408284EE3E Felix Soldner, GESIS Cologne Dr. Jun Sun, GESIS Cologne Leon Fröhling, GESIS Cologne
Big Data Management and Analyticshttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0x11A07CB7FEC34087A37E321F487052E2 Prof. Dr. Rainer Gemulla, University of Mannheim Adrian Kochsiek, University of Mannheim
Week 3 (19 - 23 September): Analyzing Digital Behavioral Data
Network Analysis in Rhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0x6CEE7167255343E09662D11A8D5B2E9A Dr. David Schoch, GESIS Cologne TBA
Introduction to Machine Learning for Text Analysis with Pythonhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0x1ED0D6BBCDA34A5B931409B7FCF74383 Prof. Dr. Damian Trilling, University of Amsterdam Prof. Dr. Anne Kroon, University of Amsterdam
Automated Image and Video Data Analysis with Pythonhttps://training.gesis.org/?site=pDetails&child=full&pID=0xB75F899267F14C648AED7D43EBFF3BFB&subID=0xEA5AB451EFA9478B9744CC9A5E538802 Prof. Dr. Andreu Casas, Vrije Universiteit Amsterdam Felicia Loecherbach, Vrije Universiteit Amsterdam
For those without any prior experience in R or Python and those who'd like a refresher, we're additionally offering two pre-courses, "R 101https://training.gesis.org/?site=pDetails&child=full&pID=0x4E341CAD9705477385B3CD4D03852BE5" and "Python 101https://training.gesis.org/?site=pDetails&child=full&pID=0x6E6463C05B444689BD48FF6A8C7329ED" (two days, online) in the week before the start of the Fall Seminar.
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 registering 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.
Please visit our websitehttp://www.gesis.org/fallseminar and sign up herehttps://training.gesis.org/?site=pDetails&pID=0xB75F899267F14C648AED7D43EBFF3BFB&lang=en_US for detailed course descriptions and registration!
For further training opportunities, look at our Summer School in Survey Methodologyhttps://www.gesis.org/summerschool and workshop programhttps://www.gesis.org/workshops.
Thank you for forwarding this announcement to other interested parties.
Best wishes and stay healthy Your GESIS Fall Seminar team
--- Dr. André Ernst Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences