400028 SE A critical appropriation of big data: Political economy at the crossroads of new methods (2021W)
Seminar für DissertantInnen: Methoden
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 01.09.2021 08:00 bis Fr 24.09.2021 23:59
- Abmeldung bis So 24.10.2021 23:59
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
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
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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%).
Prüfungsstoff
Literatur
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)
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
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 InflationDay 3 Deconstructing Macroeconomic Indicators: International TradeDay 4 Social Protest: Measuring protest with Natural Language ProcessingDay 5 Social Protest: Balance of ForcesThe 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.