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Data Science, AI, and Human Rights
Last Updated: 2026-06-03 00:07:35
Abstract
This course explores the application of data science, artificial intelligence, and technologies such as remote sensing to human rights research.Through interdisciplinary approaches, students will develop skills to responsibly apply and critically reflect on data science techniques in sensitive or high-risk environments.
Objective
By the end of this course, students will be able to apply core data science methods to human rights research, design responsible strategies for data collection, protection, and analysis, and critically assess biases and ethical risks in AI, large language models, and humanitarian data pipelines.
Content
Students will familiarize themselves with a variety of methods, including sampling and satellite imagery analysis in humanitarian contexts; record linkage and capture-recapture analysis following mass violence; and the use of machine learning, large language models, and natural language processing in research on discrimination and violence. The course also emphasizes ethical challenges, such as algorithmic bias, misinformation, and data justice. Special attention is given to contexts such as refugee crises, conflict zones, and gender-based violence.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 20
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Data Science, AI, and Human Rights | No time listed | 2 h weekly |