Workshop: Exploring Connections. A Bring Your Own Data Lab on Historical Network Analysis (17./18.10.)
Designed for researchers in the humanities and cultural sciences, this workshop of the DH Lab of the Leibniz Institute of European History (IEG) as part of the Data Competence Centre HERMES – Humanities Education in Research, Data, and Methods offers a practical, supportive and cooperative space to deepen knowledge of Historical Network Analysis. By the end of the Bring Your Own Data Lab, participants will be able to apply more confidently network analysis methods to their own data sets.
Date and Place:
17.-18.10.2024 at the Leibniz Institute of European History (IEG), Mainz
Aims and Contents:
This workshop focuses on the application of network analysis to historical research, offering a hands-on opportunity for participants to engage with their own datasets. Through interdisciplinary collaboration and expert guidance, we will explore how network analysis can be used to uncover connections, patterns, and relationships within historical data. The workshop will provide insights into both the methodological challenges and the opportunities that arise when applying digital tools to historical inquiry, fostering a dynamic exchange between academics and practitioners in the field.
The current programme and additional details can be found here.
Preparation and Prerequisites:
- Basic programming knowledge (R, Python, …). Note that the course will be in Python. On the Leibniz-Institute of European History GitHub repository you can access some preparing material (Python programming, Data Analysis with Python): There are 2 Jupyter Notebooks: Introduction_Jupyter_Python.ipynb and Intro_Data_Analysis_with_Python.ipynb. There is also a Jupyter Notebook assignment.ipynb if you want to check your understanding (the document is not long, you may need < 1h).
- Willingness to learn new technical skills
- Important: install and get comfortable with Anaconda3. It contains all packages we will need (Jupyter notebooks included):
> Installing Anaconda > Setting up a new environment, e.g. “HNR” > Installing networkX-package, pandas, matplotlib
Contact and Registration:
- Dr Judit Garzón Rodríguez (hermes@ieg-mainz.de)
- Registration is open until October 14, 2024
- Please register early, as the number of places is limited to 15 participants
Funding:
Federal Ministry of Education and Research (BMBF)
Funded by the European Union – NextGenerationEU