MSc International Relations and Diplomacy students.
Should diplomats and experts in international relations use data-driven analysis to better understand pressing global issues and multilateral diplomacy? If so, how could this be done?
This course will shed light on how novel models for causal inference and computationally intensive methodological developments, which have lapped at the shores of social science for several years now, can be productively used in research on IR and comparative politics, and for policy analysis.
This course will consist of six applied seminars (3 hours each), which will be built around the following topics:
1. (Survey) experiments
2. Interaction models (conditional hypotheses)
3. Panel data
5. Network analysis
By the end of this course, the learners will be able to (1) discuss advantages and disadvantages of novel quantitative research methods, (2) apply several novel empirical methods, and (3) create original datasets.
On the right-hand side of the programme front page of the E-Prospectus you will find a link to the online timetables.
Mode of instruction
Seminars, class discussion.
Study load: 140 hours
Final grades are calculated based on four components:
Two programming challenges (20%),
Draft proposal of an applied paper (20%)
- Applied paper (40%).
You can find more information about assessments and the timetable exams on the website.
Details for submitting papers (deadlines) are posted on Brightspace.
Failed partial grades or components should be compensated by passed partial grades or components. The calculated grade must be at least 5,5 to pass the course. It is not possible to re-sit a partial grade or component once you have passed the course.
Partial grades will remain valid for one academic year. Should a student fail the overall course, s/he can complete the course in the next academic year. In cases of exceptional circumstances, a student may apply to the board of examiners for a resit to complete the course in the same academic year.
Imai, K. (2018). Quantitative Social Science: An Introduction. Princeton University Press.
Selected chapters from Curini, L., & R. Franzese (2020). The SAGE Handbook of Research Methods of Political Science and International Relations. SAGE Publishing.
Academic articles and book excerpts announced before the lectures.
The programme will register the students in Usis based on the group division. Use Brightspace for course information.
Dr. J.J. Kantorowicz firstname.lastname@example.org
This course is an elective course designed for second year MIRD students.
This elective is conditional on at least 5 students registering for this course.