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Topics in International Relations and Data Science: Gender, Norms, and Violence
Last Updated: 2026-06-03 00:14:12
Abstract
Gender-based discrimination and gender-based violence remain among the most pressing human rights issues of our time. Students will engage with a broad range of studies and approaches from data science, international relations, and comparative politics that explore the relationship between types of norms; gender and intersectional identities; discrimination; and violence.
Objective
Students will engage with a diverse range of studies and research methods focused on the relationship between norms, policies, identities, and violence. Students will be required to demonstrate a strong grasp of the course literature as well as critical engagement with the methodological approaches discussed. They will design a quantitative study related to the core subjects of the course.
Content
Despite impressive legal progress at international and national levels, gender-based discrimination and gender-based violence remain among the most pressing human rights issues of our time. In this course, students will engage with a broad range of studies and approaches from data science, international relations, and comparative politics (as well as related fields such as economics) that explore the relationship between types of norms; gender and intersectional identities; discrimination; and violence. Students will critically engage with debates related to these core issues, such as how to collect data on gender-based violence (e.g., femicide, IPV); and how to conceptualize, measure, and evaluate the impact of specific norms on gender-based violence. Students will engage with a variety of methodological approaches from field experiments to machine learning and develop their own independent research plans.
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 | Topics in International Relations and Data Science: Gender, Norms, and Violence |
|
2 h weekly |