Datum: 10/17/2024 bis 18.10.2024
Ort: Leibniz Institute of European History (IEG), Alte Universitätsstraße 19, D – 55116 Mainz, Germany
Diese Veranstaltung wird organisiert durch das Format:
Bring-your-own-data-Lab
Exploring Connections
A Bring-your-own-data-Lab on Historical Network Analysis
20240912
Date:
17.-18.10.2024
Where:
Leibniz Institute of European History (IEG)
Alte Universitätsstraße 19
D – 55116 Mainz
Germany
Programme (in work)
Day 1: 17.10.2024
08:45: Registration
09:20: Welcome and introduction round | 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)
10:40: Coffee break
11:10: Impuls 2: (Dis)entangling the Past through Multilayer Networks | Sebastian Borkowski, M.A (University of Bern, Data Science Lab)
12:10: Lunch break
13:40: Instruction + Creating Poster | Dr Cindarella Petz + Sebastian Borkowski, M.A
14:45: Coffee break
15:15: Rotating Poster Session with Peer-2-Peer feedback and mentoring | all participants
16:45: Plenary session | Dr Cindarella Petz + Sebastian Borkowski, M.A
17:30: 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: Section 1: Python | Dr Cindarella Petz (Impuls): Dr des. Golnaz Sarkar Farshi and Sebastian Borkowski M.A. as support during the hands-on
11:30: Coffee break
11:50: Section 2: Gephi/Nodegoat | Sebastian Borkowski, M.A.
12:50: Lunch break
14:00: Section 2: Gephi/Nodegoat | Sebastian Borkowski M.A.: Dr Cindarella Petz and Dr des. Golnaz Sarkar Farshi as support during the hands-on
15:00: Coffee break
15:15: Discussion and Mentoring | Sebastian Borkowski M.A. and Dr Cindarella Petz
16:20: Closing remarks | Dr Judit Garzón Rodríguez
Aim:
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.
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
- Please install Gephi 0.10 (https://gephi.org/) and the Network Splitter 3D plugin (https://gephi.org/plugins/#/plugin/network-splitter-3d) for the hands-on session.
Contact and Registration:
Dr Judit Garzón Rodríguez
hermes@ieg-mainz.de
Note: maximum number of participants is 15.