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Computational Social Science with Images and Audio
Last Updated: 2026-06-03 00:08:09
Abstract
This course explores the application of audio analysis and computer vision in the social sciences.
Objective
This course introduces a broad array of audio analysis and computer vision tools (with a focus on image processing for the latter). Students will learn to apply these tools to a variety of problems. The applications will focus on social science contexts, including economics, politics, and law. Students will learn how to featurize audio and visual content, build models based on these features (e.g., for classification) and evaluate the models -- both in terms of performance and societal implications.
Content
Audio analysis and computer vision technologies have a considerable potential to generate new insights in the social sciences and assist decision-makers in various policy-relevant positions. At the same time, there are risks of adverse effects. For instance, such technologies could engrain or reinforce bias. They could also be abused, e.g., for surveillance or fraudulent/fake representations (such as deep fakes). This course explores the use of audio and computer vision in social science research and applications in economics, politics, and law. The course enables students to develop their own projects involving audio and visual content and critically assess recent developments in these technologies.
General Information
- Language
- English
- Levels
- DS
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 40
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Computational Social Science with Images and Audio | No time listed | 20 h semesterly |
Offered In
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Science in Perspective (In “Science in Perspective”-courses students learn to reflect on ETH’s STEM subjects from the perspective of humanities, political and social sciences. Only the courses listed below will be recognized as "Science in Perspective" courses.)
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Type A: Enhancement of Reflection Competence (SiP courses are recommended for bachelor students after their first-year examination and for all master- or doctoral students. All SiP courses are listed in Type A. Courses listed under Type B are only recommendations for enrollment for specific departments.)
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