This repository contains the materials for the course "Decoding Inequality: Kritische Perspektiven auf Machine Learning und gesellschaftliche Ungleichheit" held at the University of Bern in the spring semester 2025. The data in this repository is openly available to everyone and is intended to support reproducible research.
Install Node.js and run the following commands in the root directory of the repository:
npm install
npm run prepareCheck that all files are properly formatted.
npm run checkFormat all files.
npm run formatRun the wizard to write meaningful commit messages.
npm run commitRun the wizard to create a CHANGELOG.md.
npm run changelogPreview the documentation.
quarto previewThis project is maintained by @DHBern. Please understand that we can't provide individual support via email. We also believe that help is much more valuable when it's shared publicly, so more people can benefit from it.
| Type | Platforms |
|---|---|
| 🚨 Bug Reports | GitHub Issue Tracker |
| 📊 Report bad data | GitHub Issue Tracker |
| 📚 Docs Issue | GitHub Issue Tracker |
| 🎁 Feature Requests | GitHub Issue Tracker |
| 🛡 Report a security vulnerability | See SECURITY.md |
| 💬 General Questions | GitHub Discussions |
- Syllabus with reading list
- Slides for lectures
- Additional resources (e.g., links to papers, blog posts, etc.)
- Blog posts, posters, or other materials produced by students
All contributions to this repository are welcome! If you find errors or problems with the data, or if you want to add new data or features, please open an issue or pull request. Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
We use SemVer for versioning. The available versions are listed in the tags on this repository.
- Digital Humanities University of Bern - Initial work - DHBern
- Rachel Huber - Instructor - HistoRaHub
- Moritz Mähr - Instructor - maehr
See also the list of contributors who contributed to this project.
The data in this repository is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) License - see the LICENSE-CCBYSA file for details. By using this data, you agree to give appropriate credit to the original author(s) and to indicate if any modifications have been made.
The code in this repository is released under the GNU Affero General Public License v3.0 - see the LICENSE-AGPL file for details. By using this code, you agree to make any modifications available under the same license.