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.
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. Text-as-data
4. Image-as-data
5. 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
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
Assessment method
Final grades are calculated based on four components:
Two programming challenges (20%),
failed grades must be compensated, resit is not possible
Presentation (20%)
a resit of the presentation is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50.
the resit will take place 6th of June 2022.
Draft proposal of an applied paper (20%)
a resit of the draft proposal is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50.
the resit will take place 6th of June 2022.
Applied paper (40%).
a resit of the applied paper is only possible if the student has failed the assignment and a calculated overall course grade lower than 5.50.
the resit will take place 6th of June 2022.
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.
Partial grades will remain valid for one academic year.
Reading list
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.
Registration
Use both uSis and Brightspace to register for every course.
Contact
Dr. J.J. Kantorowicz j.j.kantorowicz@fgga.leidenuniv.nl
Remarks
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.