3rd Winter school Leuven - Montréal (25 February - 3 March 2017): Elections
25 Feb 2017 09:00 AM
05 Mar 2017 05:00 PM
|Where||Leuven, Huis Bethlehem, Schapenstraat 34, 3000 Leuven|
|Contact Name||Ruth Dassonneville|
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The Winter School is jointly organized by the Universities of Montréal and Leuven, and
receives support from the ECPR Standing Group on Public Opinion and Voting Behavior, the ICPSR Summer Program, and the Centre for the Study of Democratic Citizenship.
The third edition of the Leuven-Montreal Winter School on Elections will take place at the University of Leuven (Belgium) from 25 February to 5 March 2017. The Winter School offers courses for PhD students working on elections and voting behavior.
Previous editions of the Winter School included lectures on topics such as issue voting, political communication, election campaigns, political knowledge, strategic voting, political psychology, economic voting, and political participation. The lecturers were André Blais, Claes de Vreese, William Jacoby, Romain Lachat, Sona Golder, Richard Johnston, Richard Lau, Michael Lewis-Beck, Marc Hooghe, Patrick Fournier, and Ruth Dassonneville. While some of these lecturers will return, the 2017 edition will include new topics and lecturers.
The Winter School now collaborates with the ICPSR Summer Program (University of Michigan) for a session on methods for electoral research. One full day will be devoted to the methodology of electoral research.
The tuition fee for the Winter School is 350 euro. This includes the lectures, texts and
catering. It does not include housing.
Will follow soon.
If you wish to receive further information, please send a message to Greet Louw asking to be added to the mailing list.
Pay your registration fee before 12 January 2017.
Send your paper to firstname.lastname@example.org before 8 February 2017.
Interested students should send an abstract (approximately 500 words) of their proposed paper to
email@example.com by 1 December 2016.
Applications should include the following information:
- the topic of PhD dissertation
- affiliation and name of supervisor
- date of first enrolment in PhD program
- indication of quantitative methods skills (e.g., courses taken, software packages used, experience in performing statistical analyses)