| 08-26-GS-5 | Creating your own (quantitative) research project in R (in English) This course wants to enable students to run their own (quantitative) research project in R. In the process, they will learn basic data wrangling and data visualisation (…) This course wants to enable students to run their own (quantitative) research project in R. In the process, they will learn basic data wrangling and data visualisation in R. Every student will choose a project that they want to conduct using publicly available data of their choosing (some examples will be provided) and will, in consultation with the course coordinator, work towards a project report at the end of the course that they will present to the other students. Students will analyse their data in the open-source programme R and will be encouraged to write their final reports in it, too. The course will be a mixture of lectures on practical issues and a project based working sessions in exchange with the course coordinator and other students to make use of peer-to-peer learning. The lecture will be tailored to the needs and levels of the participating students.
In this course students are encouraged to run their own small-scale analysis project using R from beginning to end: choosing a topic and research question they find interesting, selecting and downloading the relevant data, using simple (presumably mostly) descriptive statistics such as means, and writing a report about their findings. They will be encouraged to use Quarto/ Rmarkdown, the integrated tool within R-Studio, to write their final reports and export them into PDF to automatically integrate updated findings. Also, students will be encouraged to upload and maintain their project on git. This course teaches practical skills and combines it with theoretical grounding in reproducible science. Hence it can be used as a good foundation for quantitative bachelor or master theses, and to learn skills that can be used also outside of academia.
Literatur zur Vorbereitung/Preparatory Reading:
- Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. ‘Introduction’. In R for Data Science, 2nd Edition, Second edition. O’Reilley, https://r4ds.hadley.nz/intro.html.
- Munafò, Marcus R., Brian A. Nosek, Dorothy V. M. Bishop, et al. ‘A Manifesto for Reproducible Science’. Nature Human Behaviour 1, no. 1 (2017): 0021. https://doi.org/10.1038/s41562-016-0021.
Prüfungsleistungen und CP/Assignments and Credits:
Students can take the course for 3 CP or 6 CP. The final assessment will depend on the amount of CP students chose. Both assessments include the simple progress report every two weeks (just about one paragraph in an unstructured form, including reasons for no progress, which will always happen, is no problem and part of the process) and the final script of the project. Beyond that, the two different levels encompass the following two assessments:
3 CP: • Short presentation (10 minutes) • Short final research note with references (~5 pages, at least one high-quality graph) 6 CP: • Long presentation (20 minutes) • Long final research note with references (~10 pages, at least two high-quality graphs)
You can find course dates and further information in Stud.IP. | Heiner Salomon |
| 08-351-2-MA-IR-5.2 | Disinformation in International Politics (in English) The seminar explores and examines the phenomenon of disinformation in international politics, with a focus on current trends and developments. Topics of the seminar (…) The seminar explores and examines the phenomenon of disinformation in international politics, with a focus on current trends and developments. Topics of the seminar include disinformation in elections, crises and conflicts; the political utility of fake news; information warfare; digital technology; deepfakes; strategic motivations of various (non-)state actors; the impact of disinformation on democratic processes; regulatory efforts; and ways of identifying fact-based knowledge and of verifying information. The seminar takes an interdisciplinary perspective for a fuller understanding of how disinformation functions and how democratic societies may guard against it.
Learning goals: The seminar content is taught with a participatory, case-study approach. Students will be able to understand key concepts; deconstruct and analyse disinformation campaigns regarding their source, motivations, target audiences and objectives; critically assess cases in light of the tension between free speech and threat mitigation; and strengthen their capacities of identifying reliable information. Students will also strengthen their analytical, writing and presentation skills. Gained knowledge serves both further academic studies of the topic and the application to other professional areas.
Regular participation in the seminar is an important basis to achieve the seminar's learning goals. Preparatory reading is recommended.
Literatur zur Vorbereitung/Preparatory Reading:
Chan, Kenddrick and Chris Alden. n.d. Understanding and Mitigating Disinformation: A Primer for Policymakers and Stakeholders. LSE. Download: https://www.lse.ac.uk/ideas/Assets/Documents/project-docs/LSE-Meta-GK-Primer-on-Disinformation.pdf
USAID. Center for Excellence on Democracy, Human Rights, and Governance. 2021. Disinformation Primer. Download: https://www.echocommunity.org/resources/319e91d9-41ef-4fd7-aff3-d429b5774801
Prüfungsleistungen und CP/Assignments and Credits:
3 CP: Oral presentation in class (20-25 min) with 2-page handout and discussion 6 CP: Oral presentation in class (20-25 min) with 2-page handout and discussion & research paper (5,000 words ±10%, excluding references) 9 CP: Oral presentation in class (20-25 min) with 2-page handout and discussion (40 % of grade) & research paper (8,000 words ±10%,, excluding references) (60 % of grade) Papers to be turned in by end of the semester (Sep. 30, 2026) You can find course dates and further information in Stud.IP. | PD Dr. Sybille Reinke De Buitrago |
| 08-26-M11-2 | Drivers of International Relations (in English) Competition, Cooperation, Institutions, Race, Gender, Colonialism The class provides an introduction to core concepts of international relations theory. The focus is on what different theories consider to be the key drivers of (…) The class provides an introduction to core concepts of international relations theory. The focus is on what different theories consider to be the key drivers of international and transnational relations. global politics, focusing on key concepts and issues of theories of international relations: states, sovereignty, conflict, cooperation, international institutions, non-governmental organizations, delegation and (indirect) global governance. The course starts with a focus on classical, Western literatures but concludes with sessions on gender, race, colonialism and the end of the Western-dominated liberal international order. By the end of the course, students will be able to understand and apply the key concepts in their own research.
Literatur zur Vorbereitung/Preparatory Reading:
any textbook on IR
Prüfungsleistungen und CP/Assignments and Credits:
6 CP Requirements
Attendance: Students are expected to be present and prepared for every class session. Active participation during seminar discussions is essential. If unavoidable circumstances arise which prevent attendance or preparation, the instructor should be advised in advance by email.
Reseearch paper:Each student submits a brief paper at the end of the seminar. The paper should engage with one of the readings of this class, summarize the main argument and comment on it. Grading will consider the rigor of the analysis, and the quality of writing. The word limit is 3000 words everything included. Each student presents his or her paper idea in a short presentation during the final session. . You can find course dates and further information in Stud.IP. | Philipp Genschel |
| 08-26-GS-1 | Mapping Geopolitical Data in R (in English) Maps are powerful tools for understanding and communicating political phenomena. In this block seminar you will learn to use the statistical software R to produce (…) Maps are powerful tools for understanding and communicating political phenomena. In this block seminar you will learn to use the statistical software R to produce customisable, publication-quality maps and other data visualisations. No prior knowledge of R is required. Participants are encouraged to use data from their own research projects, but test datasets will also be provided.
Prüfungsleistungen und CP/Assignments and Credits: 3CP You can find course dates and further information in Stud.IP. | Katren Rogers |
| 08-351-2-MA-IR-5.1 | Solidarity in domestic and international politics (in English) What does solidarity mean and how is it realised? This seminar examines the concept of solidarity and its role in domestic and international politics. We discuss how (…) What does solidarity mean and how is it realised? This seminar examines the concept of solidarity and its role in domestic and international politics. We discuss how solidarity has been conceptualised in social theory and invoked by politicians, scholars, and activists across different contexts. We analyse its empirical manifestations in areas such as domestic social policy, international cooperation, and transnational social movements.
Prüfungsleistungen und CP/Assignments and Credits: 3CP or 6CP You can find course dates and further information in Stud.IP. | Katren Rogers |