Admission requirements
MSc International Relations and Diplomacy students.
Description
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 (e.g. by looking at countries’ votes coincidences and anomalies, effects of regional institutions, causes and duration of wars, etc.).
This course will consist of five seminars (4 hours each), which will be built around five distinctive methods:
- survival (hazard) models,
- instrumental variables and natural experiments,
- survey experiments,
- text analysis,
- network analysis.
Course objectives
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.
Timetable
To be announced by OSC staff.
Mode of instruction
Lectures, seminars, class discussion.
Course Load
1 EC
Assessment method
Final grades are calculated based on two components:
*Research design paper (50%),
*Applied paper (50%).
You can find more information about assessments and the timetable exams on the website.
Details for submitting papers (deadlines) are posted on Blackboard.
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.
Blackboard
To be announced.
Reading list
Academic articles and book excerpts announced before the lectures.
Registration
Use both uSis and Blackboard to register for every course.
Contact
Dr. J.J. Kantorowicz j.j.kantorowicz@fgga.leidenuniv.nl
Remarks
This is an extra-curricular elective course of 1 ECTS for second year MIRD students.