210126 SE M5: Europäische Union und Europäisierung: Recht und Politik in der Europäischen Union (2024S)
Law and Politics in the European Union. A Practical Research Seminar with R(engl.)
Prüfungsimmanente Lehrveranstaltung
Labels
Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Achten Sie auf die Einhaltung der Standards guter wissenschaftlicher Praxis und die korrekte Anwendung der Techniken wissenschaftlichen Arbeitens und Schreibens.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Achten Sie auf die Einhaltung der Standards guter wissenschaftlicher Praxis und die korrekte Anwendung der Techniken wissenschaftlichen Arbeitens und Schreibens.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 02.02.2024 08:00 bis Di 20.02.2024 08:00
- Anmeldung von Do 22.02.2024 08:00 bis Di 27.02.2024 08:00
- Abmeldung bis Mo 25.03.2024 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 14.03. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 21.03. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 11.04. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 18.04. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 25.04. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 02.05. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 16.05. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 23.05. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 06.06. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 13.06. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 20.06. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
- Donnerstag 27.06. 09:45 - 11:15 Hörsaal 2 (H2), NIG 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
- The weekly assignments are worth 40% of your grade. This is the mean of the individual weekly assignments.
- The final project contributes 60% of your grade. It is a short research paper (3000 words) that attempts to answer a research question related to EU judicial politics with data, using R.
- The final project is due at the end of the summer term (30 September 2024). For each day of delay, I subtract a penalty of 5 percentage points, which means that even perfect submissions fail automatically after 8 October.
- Attendance is required.
- Active and constructive participation in the classroom discussions is encouraged. Participation is not graded but can make a difference if your overall grade is a close call.
Mindestanforderungen und Beurteilungsmaßstab
Minimum Requirements
Assessment Criteria
I encourage collaboration on homework and final projects, but you must...
- You have to submit all weekly assignments and the final project to pass.
- The passing threshold is 60%
Assessment Criteria
- 1 (sehr gut) 100-90%
- 2 (gut) 89-81%
- 3 (befriedigend) 80-71%
- 4 (genügend) 70-60%
- 5 (nicht genügend) <60%
I encourage collaboration on homework and final projects, but you must...
- discuss any joint final projects with me beforehand, so I can extend the scope in rough proportion to your team size.
- be prepared to explain your homework in sufficient detail during class.
- The usual rules of good academic practice and citation apply. See https://politikwissenschaft.univie.ac.at/fileadmin/user_upload/i_politikwissenschaft/SPL/Richtlinien_fuer_die_korrekte_Zitation-Stand_Jaenner_2020.pdf
- I may use plagiarism detection software, but plagiarism is also easy to detect without. A plagiarised final project means that your course will be graded with X (i.e. fail with scarlet letter).
Prüfungsstoff
To be discussed
Literatur
If you want a head-start, have a look at the following resources:On judicial politics:
On R programming:
A full syllabus will be provided.
- Blauberger, Michael, and Susanne K. Schmidt. 2017. “The European Court of Justice and Its Political Impact.” West European Politics 40 (4): 907–18. https://doi.org/10/gc4jmd.
- Shuibhne, Niamh Nic. 2017. “The Court of Justice: European Integration and Judicial Institutions.” In Institutions of the European Union, edited by John Peterson and Dermot Hodson, 4th ed., 163–82. New York: Oxford University Press. https://doi.org/10/hk3p.
On R programming:
- https://ipwstatistikr.github.io/tutoriumstatistikR/ (German)
- https://github.com/matloff/fasteR
- Wickham, Hadley, and Garrett Grolemund. 2023. R for Data Science. Second Edition. Sebastopol, CA: O’Reilly. https://r4ds.had.co.nz/.
A full syllabus will be provided.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 31.07.2024 12:06
This seminar combines an introduction to European Union judicial politics with a crash course on R programming. The judicial politics literature examines how the EU’s legal institutions and practices shape the dynamics and outcomes of EU policy-making. Based on a sample of recent contributions, we will engage with a range of classical topics, including the autonomy that the Court of Justice of the EU (CJEU) enjoys from member state governments, the determinants and consequences of legal mobilization by private actors, the interplay between the CJEU and domestic courts, and the enforcement of and compliance with obligations arising from EU law. R is a versatile statistical programming language that is gaining ever more popularity in the social sciences. We will apply it to reproduce some small components of the research papers from the syllabus. Using actual research is more fun than fiddling about with toy examples, and it helps us to engage with the literature in more depth. This is neither a full R class nor a statistics course, and no prior knowledge of statistics or computer programming is required. We will cover just enough R so you can get data into your computer, and reshape, filter, summarize, and plot it.
Learning Outcomes:At the end of this seminar, you will
- know the organization, responsibilities, and competences of the CJEU and of the European Commission in their role as guardians of the Treaty
- know a few of the most important CJEU rulings and their political significance
- distinguish the main judicial procedures in EU law
- understand the institutional dynamics that shape the interaction between the CJEU and domestic courts under the preliminary ruling procedure
- understand the causal links between jurisprudence, litigation, and legislation
- be able to discuss the factors that constrain and empower the CJEU in relation to the member states and other EU institutions
- identify some of the weaknesses and contradictions in the enforcement of European law
- know the basic syntax of R
- be able to load data into R, filter and transform it
- be able to plot data and perform fundamental descriptive data analysis.
MethodsThis is a flipped classroom. Except for the first session, I will assign reading material and homework. We will meet once a week to discuss and compare your results, and to work jointly on any remaining problems. There are alternating theory and practice sessions. In each theory session, we discuss a research paper on a substantive judicial policy topic. In the following practice session, we will reproduce some of the research from the paper, each time focussing on a different common data analysis task in R. The weekly homework assignments either ask you to explain some aspect from the research paper, or to attempt a specific programming/data analysis task. This class relies on your curiosity and initiative. I encourage you to just try things until they work, and to ask questions and collaborate on Moodle. But I am also available for feedback and assistance if you get stuck.