Introduction to historical network analysis with Python hosted by the DH Lab of the IEG.
Monday, November 28 - Thursday, December 1, 2022
This (fully online) winter school is designed to provide a guide for graduate students and early career researchers interested in the study of social networks with a special focus on historical research questions. This four day course will cover a range of sessions, offering hands-on exercises in Python using Jupyter Notebooks, and providing room for discussing your own datasets. Our keynote speaker Prof. Dr. David Zbíral (Masaryk University) will elaborate on his work on the DISSINET project.
Syllabus
Day 1 (9:00 - 12:00 and 14:00 - 17:00 CET):
Day 2 (9:00 - 12:00 and 14:00 - 16:30 CET):
Public Keynote (17:00 - 18:30 CET)
Day 3 (9:00 - 12:00 and 14:00 - 17:00 CET):
Day 4 (9:00 - 12:00 CET)
How to apply
For the winter school, a familiarity with the basics of Python is required. Before the school starts, we will provide tutorials so everyone can have the basic understanding necessary for following the sessions.
The winter school is designed as hands-on sessions with tutoring (virtual; working language in English), therefore we can only admit up to 25 participants. The winter school is free of charge. Admission is possible until September 30, 2022.
In order to apply, sent a short letter of interest specifying your motivation for attending this school (1/2 page max) with the subject “HNR winter school” to digital@ieg-mainz.de. Further queries can be sent to vasquesfilho@ieg-mainz.de and petz@ieg-mainz.de.
Organizers