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The course is intended for master's level students. It is designed as a series of lectures about new types of political parties that are new/modern in organizational and ideological terms. The key distinction between "traditional" and "modern" as far as ideology (policies) is concerned is the theory by S. M. Lipset and S. Rokkan (1967). Political parties which do not fit in this distinction are considered as modern parties. These are, for example, left-wing libertarian parties, including Green parties and Pirate parties. Also included are the radical-right / left populist parties, and the Eurosceptic parties. The course also discusses other types of parties that are not essential from a practical (electoral) point of view but are important from a theoretical perspective. From the organizational point of view, the course covers some of organizational developments since the 1960s with regard to declining party membership, the growing importance of party leaders, the professionalization of party activities, etc. In this respect, for example, electoral-professional parties, cartel parties, business parties, cyber parties, etc. are presented.
The course is located on moodle.cuni.cz Poslední úprava: Brunclík Miloš, doc. PhDr., Ph.D. (20.06.2024)
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The detailed information about all the above course requirements are on moodle.cuni.cz
Poslední úprava: Brunclík Miloš, doc. PhDr., Ph.D. (18.09.2024)
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Bickerton, Christopher a Carlo Invernizzi Accetti. 2017. Populism and technocracy: opposites or complements? Critical Review of International Social and Political Philosophy 20(2): 186-206. Cowell‐Meyers, Kimberly. 2017. "The contagion effects of the feminist initiative in Sweden: Agenda‐setting, niche parties and mainstream parties." Scandinavian Political Studies 40(4): 481-493. van Haute, Emilie, ed. 2016. Green parties in Europe (conclusion). Routledge. Hooghe, Liesbet and Gary Marks. 2018. "Cleavage theory meets Europe’s crises: Lipset, Rokkan, and the transnational cleavage," Journal of European Public Policy 25(1): 109-135. Hopkin, Jonathan, and Caterina Paolucci. 1999. "The business firm model of party organisation: Cases from Spain and Italy." European journal of political research 35(3): 307-339. Ignazi, Piero. 2014. "Power and the (il) legitimacy of political parties: An unavoidable paradox of contemporary democracy?." Party Politics 20(2): 160-169. Katz, Richard S. and Peter Mair. 1995. Changing models of party organization and party democracy: the emergence of the cartel party. Party Politics 1(1): 5-28. Leconte, Cécile. 2015. From pathology to mainstream phenomenon: Reviewing the Euroscepticism debate in research and theory. International Political Science Review 36(3): 250 –263. Mudde, Cas. 2004. "The populist zeitgeist." Government and opposition 39(4): 541-563. Otjes, Simon. 2020. "All on the same boat? Voting for pirate parties in comparative perspective." Politics 40(1): 38-53. Rydgren, Jens. 2005. Is extreme right-wing populism contagious? Explaining the emergence of a new party family. European Journal of Political Research 44(3): 413-437. Poslední úprava: Brunclík Miloš, doc. PhDr., Ph.D. (20.06.2024)
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The course is based on lectures and regular readings on a weekly basis on the Moodle platform (moodle.cuni.cz). During the lectures, students are encouraged to participate in a discussion. Principles for the Use of Artificial Intelligence (AI) Tools During the course, students may use artificial intelligence tools (e.g., ChatGPT, Copilot, Gemini, Perplexity, etc.) for the following purposes:
When using AI, students are always required to:
The use of AI is prohibited for:
Presenting outputs generated by AI (even if slightly modified) as one’s own work is not allowed and will be considered plagiarism. Failure to comply with these rules will result in the seminar paper or presentation not being accepted, or the case being referred to the Disciplinary Committee of the Faculty of Social Sciences, Charles University. The aim of these rules is to foster students’ critical thinking, develop their intellectual abilities, and protect academic integrity. These rules also limit the risks associated with AI, in particular the uncritical acceptance of AI-generated content, dependency on technology, plagiarism, or presenting potentially erroneous AI-generated results without critical evaluation. Finally, the aim is to help students learn to recognize when the use of AI is beneficial and when it is not. Use of AI by the lecturer: Teachers may use AI in preparing teaching materials and providing feedback, always in accordance with the Statement of Charles University and the Recommendations for Educators. Students’ personal data will be protected, and student work will not be used for training AI models. Generative AI will not be used for the assessment of seminar papers, quizzes/tests, or the final exam. Seminar papers/presentations will not be inserted into AI tools by the lecturer. Recommendations regarding the use of generative artificial intelligence at Charles University Student Guide to Academic Integrity (FSV UK) Code of Study and Examination of Charles University Poslední úprava: Brunclík Miloš, doc. PhDr., Ph.D. (23.09.2025)
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All the lectures are accompanied by PowerPoint presentations available at moodle.cuni.cz Poslední úprava: Brunclík Miloš, doc. PhDr., Ph.D. (20.06.2024)
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