Monday, November 28 - Thursday, December 1, 2022
This winter school is designed to give 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 session, 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
- Fundamentals of social network analysis
- Network theories
- Epistemic approaches of network research & network visualization
- Network models
- History of network research
- Critical perspectives
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 [email protected]. Further queries can be sent to [email protected] and [email protected].
Organizers
- Dr. Demival Vasques Filho (Google Scholar)
- Dr. Cindarella Petz (Google Scholar)