A Bring Your Own Data Lab on Historical Network Analysis

Exploring Connections

HERMES

Date:

17.10.2024 bis 18.10.2024

Place:

Leibniz Institute of European History (IEG)
Alte Universitätsstraße 19
D – 55116 Mainz
Germany

Contact and Registration:

Dr Judit Garzón Rodríguez
hermes [at] ieg-mainz.de (hermes[at]ieg-mainz[dot]de)

Note: maximum number of participants is 15.

Categories:

Further Information:

Bring Your Own Data Lab
Designed for researchers in the humanities and cultural sciences, this workshop 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.

Programme (in work)

Day 1: 17.10.2024

08:45: Registration
09:30: Welcome | Dr Judit Garzón Rodríguez
09:40: Impuls 1: Epistemology of network research + Case Study | Dr Cindarella Petz (Leibniz-Institute of European History, Digital Historical Research | DH Lab)
10:30: Impuls 2
11:30: Coffee break
11:45: Impuls 3: (Dis)entangling the Past through Multilayer Networks | Sebastian Borkowski, M.A (University of Bern, Data Science Lab)
12:45: Lunch break
14:00: Instruction + Creating Poster | Dr Cindarella Petz + Sebastian Borkowski, M.A
15:00: Coffee break
15:20: Instruction + Creating Poster | Dr Cindarella Petz + Sebastian Borkowski, M.A
16:00: Rotating Poster Session with Peer-2-Peer feedback and mentoring | Dr Cindarella Petz + Sebastian Borkowski, M.A
17:00: Plenary session and collaborative planning of the work sessions for the second day | Dr Cindarella Petz + Sebastian Borkowski, M.A
17:45: Conclusion | Dr Judit Garzón Rodríguez
18:30: Workshop dinner (At Own Expense) | all participants

Day 2: 18.10.2024

09:30: Welcome | Dr Judit Garzón Rodríguez
09:40: Impuls: Showing Code examples of yesterday | Dr Cindarella Petz + Sebastian Borkowski, M.A
10:30: Hands-on | all participants
11:30: Coffee break
11:45: Hands-on | all participants
13:00: Lunch break
14:00: Hands-on + Mentoring | all participants
15:15: Coffee break
15:30: Hands-on + Mentoring | all participants
16:20: Closing remarks | Dr Judit Garzón Rodríguez

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
Projects: HERMES