VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Supervised Research (Law, Economics, and Data Science)
Last Updated: 2026-06-03 00:07:37
Abstract
This is a supervised student project for 3 ECTS, supervised by the professorship of Elliott Ash (D-GESS). Students will adapt tools from econometrics and machine learning to questions in law, data science, and social science.Students must have some data science and/or statistics experience. Some programming experience in Python, Stata, or R is required.
Objective
Apply tools from data science and social science to a new project, potentially in a group, to develop a paper or app.
General Information
- Language
- English
- Levels
- DS , MSC
- Frequency
- Semesterly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 40
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| independent project | Supervised Research (Law, Economics, and Data Science) | No time listed | - |
Offered In
-
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.)
-
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.)
-
Type B: Reflection About Subject-Specific Methods and Contents (Subject-specific courses. Particularly relevant for students interested in those subjects. All these courses are also listed under the category “Typ A”, and every student can enroll in these courses.)
-
-
-