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This MA-level course uses a narrative political economy lens to examine how climate change both reshapes—and is reshaped by—economic interests, state capacity, and ideas. We read rival stories, trace how they travel through institutions (EU industrial policy, CBAM, finance, aid), and test them against front-line experiences (small-island adaptation trade-offs, local effects of China’s transition, intergenerational justice). The format is participatory: guest experts set the scene with briefings, followed by student-centred debates.
The course is open only for students of master's degree programmes. Poslední úprava: Hrubá Kateřina, Mgr. (28.01.2026)
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Grading is based on the Dean's Measure no. 20/2019: https://fsv.cuni.cz/deans-measure-no-20/2019
The use of AI tools, including generative artificial intelligence, is permitted in this course; however, every assignment must bear a clear imprint of the student’s own thinking and argumentation. Students are expected to: Originality of arguments: Your text must contain clearly formulated ideas and a logical structure stemming from your own understanding. General or superficial reproductions without critical reflection and specific, independently verifiable evidence will not be considered sufficient. Critical evaluation of AI outputs: If you use AI, you are obliged to critically assess its outputs, revise them, and situate them within the context of the assignment. (A) Responsibility for content: Regardless of AI use, you bear full responsibility for the accuracy, coherence, and academic quality of your text. Any use of primary and secondary texts and generative AI in essays must be properly acknowledged. Such use must meet the following conditions:
AI may serve as an auxiliary tool, but authorship of the work remains yours. If the use of any texts other than those written by the author is established without proper acknowledgment as defined in point (A), the paper will be deemed plagiarized and referred to the Disciplinary Commission of the Faculty of Social Sciences. Poslední úprava: Fiřtová Magdalena, Mgr. Ing., Ph.D. (26.09.2025)
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Poslední úprava: Fiřtová Magdalena, Mgr. Ing., Ph.D. (16.09.2025)
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Narrative Political Economy Approach: This course approaches climate change not only as a material and institutional challenge but mainly as a battle of ideas. Students will explore and discuss various competing narratives. Participatory and Discussion-Based Format: Rather than relying on passive lectures, the course centers on student-led discussions and structured debates. Through collaborative work and critical exchange, students will actively engage with the readings, deepening their understanding through dialogue and interaction. Guest Expert Facilitation: Each session will be introduced and moderated by a guest expert with academic or professional expertise in the topic at hand. Development of Soft Skills: In addition to analytical depth, the course is designed to strengthen key transferable skills such as argumentation, critical thinking, and public speaking. Students will be encouraged to apply climate-related knowledge in persuasive and reflective ways, preparing them for real-world communication. Use of generative AI tools: The use and citation of generative AI tools (such as ChatGPT or MS Copilot) in seminar papers and other coursework must comply with the decrees of the IMS Director No. 7/2023 and 9/2023. Generative AI tools may be used unless explicitly prohibited by the instructor. However, they may not be used to generate substantial sections of the text or replace the student’s own intellectual contribution. The student remains fully responsible for any content generated with assistance of AI tools. Presenting AI-generated content, whether verbatim, rephrased, or only slightly modified, as one's own work constitutes plagiarism. Every submitted paper must include a transparent statement specifying which generative AI tools were used, in which stage of the work they were employed, and how they were used, or confirming that no generative AI tools were used. If this statement is missing or incomplete, the instructor is not permitted to accept the paper for evaluation. Unless the instructor explicitly prohibits the use of generative AI tools, the decision to use or not to use them rests fully with the student. The student has the right to request that the instructor does not use AI assistance for evaluating their work. Poslední úprava: Lochmanová Sára, Mgr. (07.10.2025)
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Active Participation – 30% Based on consistent attendance, visible preparation for assigned readings, and meaningful contributions to class discussions. Attendance is mandatory and accounts for 10 points of your final grade. You may miss up to two classes without penalty. For each additional unexcused absence, 2 points will be deducted from your final grade. Each student can earn up to 2 points per session across 10 active sessions. Second, In-Class Contributions. There are 10 active sessions. In each, you can earn 0–2 participation points. “Question & Comment” - 10% By midnight the Sunday before class you must submit to the Moodle Forum one debate-worthy question anchored in the assigned text, plus a 1-2 sentence comment that (a) cites a specific passage (page) of the reading, and (b) clearly connects the reading to class theme. Please, note, the best questions are contestable, text-rooted, and open multiple ways of argumentation. Each good, submitted Q&C is worth 1%. Narrative Deconstruction of an AI-Generated Short Story - 30% Students will use an AI tool to generate a short fictional story (600-800 words) set in a plausible or speculative future and related to a topic discussed in class. Students will then write a critical commentary of 1000–1200 words (excluding AI-generated text) that analyzes the narrative framing of the AI-generated text. Deadline: November 28, 2025. Final Oral Discussion 30% Students will complete the oral exam in pairs. Each student will receive a different discussion question and have 15 minutes to prepare individually on-site (without electronic devices). Students will be assessed individually based on their analytical clarity, engagement with readings, and ability to articulate and defend a position. Poslední úprava: Fiřtová Magdalena, Mgr. Ing., Ph.D. (29.08.2025)
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For readings and a detailed syllabus, enroll yourself to the Moodle: https://dl1.cuni.cz/course/section.php?id=255174
Poslední úprava: Fiřtová Magdalena, Mgr. Ing., Ph.D. (09.09.2025)
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