Universität Wien

400028 SE A critical appropriation of big data: Political economy at the crossroads of new methods (2021W)

Seminar für DissertantInnen: Methoden

Prüfungsimmanente Lehrveranstaltung


Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").


max. 15 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Montag 25.10. 09:45 - 16:00 Seminarraum 19, Kolingasse 14-16, OG02
Mittwoch 27.10. 09:45 - 16:00 Seminarraum 17, Kolingasse 14-16, OG02
Donnerstag 28.10. 09:45 - 16:00 Seminarraum 19, Kolingasse 14-16, OG02
Freitag 29.10. 09:45 - 16:00 Seminarraum 19, Kolingasse 14-16, OG02


Ziele, Inhalte und Methode der Lehrveranstaltung

The course will introduce students to the problems of using BigData approaches within the context of critical political economy. The course will propose a number of case studies to discuss the benefits and limits of Big Data but will also provide time to discuss students’ own challenges and projects.
The course will take place in 5 days and cover the following:

Day 1 Social Indicators and Big Data.
The challenges of AI and Big Data to Paul Lazarsfeld’s framework. Indicators and Critical approaches: an unhappy match?

Day 2 Deconstructing Macroeconomic Indicators: National Accounts and Inflation

Day 3 Deconstructing Macroeconomic Indicators: International Trade

Day 4 Social Protest: Measuring protest with Natural Language Processing

Day 5 Social Protest: Balance of Forces

The classes consist of lectures and workshops. A set of minimal readings will be provided to be completed before class. Students are encouraged to bring up particular issues regarding their own research agenda. These will animate the workshops.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Mindestanforderungen und Beurteilungsmaßstab

Students will be evaluated on the basis of their attendance and active participation in the course (30%), and a final paper discussing or applying one of techniques covered in the course (70%).



A full list of readings and bibliography will be supplied during the course.
General readings for this course are:

• Anwar M Shaikh and E. Ahmet Tonak, Measuring the Wealth of Nations
The Political Economy of National Accounts (Cambridge: Cambridge
University Press, 1996).
• Alain Desrosières, The Politics of Large Numbers: A History of Statistical
Reasoning (Cambridge, Mass: Harvard University Press, 1998).
• Paul Studenski, The Income of Nations (New York U.P.; University of London P, 1967).
• Beverly J Silver, Forces of Labor: Workers’ Movements and Globalization
since 1870 (Cambridge; New York: Cambridge University Press, 2003).
• Roberto Franzosi, Quantitative Narrative Analysis, 162 (Sage, 2010)

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 15.10.2021 18:29