Extended data for Transdisciplinarity and Expertise

Stored data
bibliography hu
Rövid kötelező olvasmányok ill. videok a moodle-oldalon kerülnek feltöltésre a félév során. Általános irodalom: Collins, Harry M. & Robert Evans. 2007. Rethinking expertise. Chicago: The University of Chicago Press. Collins, H, 2018. „Studies of Expertise and Experience” Topoi  37, 67–77 https://doi.org/10.1007/s11245-016-9412-1 Collins et al. Experts and the will of the people, 2020. Drezner, Daniel. 2017. The Ideas Industry: How Pessimists, Partisans, and Plutocrats are Transforming the Marketplace of Ideas.Oxford University Press Leefmann, Jon & Lesle, Steffen. (2020). Knowledge from Scientific Expert Testimony without Epistemic Trust. Synthese. 10.1007/s11229-018-01908-w. Íñiguez-Berrozpe, Tatiana & Boeren, Ellen. (2020). 21st Century Skills for All: Adults and Problem Solving in Technology Rich Environments. Technology, Knowledge, and Learning. 25. 929-951. 10.1007/s10758-019-09403-y. Reich, Zvi & Lahav, Hagar. (2020). What on Earth do Journalists Know? A New Model of Knowledge Brokers’ Expertise. Communication Theory. 31. 10.1093/ct/qtaa013. Väliverronen, Esa & Laaksonen, Salla-Maaria & Jauho, Mikko & Jallinoja, Piia. (2020). Liberalists and data-solutionists: redefining expertise in Twitter debates on coronavirus in Finland. Journal of Science Communication. 19. 1-21. 10.22323/2.19050210. Marchau, V.A.W.J., Walker, W.E., Bloemen, P.J.T.M., Popper, S.W. (Eds.) 2019. Decision Making under Deep Uncertainty From Theory to Practice https://www.springer.com/gp/book/9783030052515 Stern, Marc J (2018) Social Science Theory for Environmental Sustainability: A Practical Guide. Oxford University Press, Oxford, UK. ISBN: 978-0-19-879318-2. Kostas Kampourakis, & Kevin McCain (2019) Uncertainty: How it makes science advance. Oxford University Press, New York, NY. ISBN: 978-0-19-087166-6
bibliography en
Short compulsory readings may be posted on the moodle page for specific midterms or optional exercises. General literature (may change during first run of the course in 2021/22 Autumn): Collins, Harry M. & Robert Evans. 2007. Rethinking expertise. Chicago: The University of Chicago Press. Collins, H, 2018. „Studies of Expertise and Experience” Topoi  37, 67–77 https://doi.org/10.1007/s11245-016-9412-1 Collins et al. Experts and the will of the people, 2020. Drezner, Daniel. 2017. The Ideas Industry: How Pessimists, Partisans, and Plutocrats are Transforming the Marketplace of Ideas.Oxford University Press Leefmann, Jon & Lesle, Steffen. (2020). Knowledge from Scientific Expert Testimony without Epistemic Trust. Synthese. 10.1007/s11229-018-01908-w. Íñiguez-Berrozpe, Tatiana & Boeren, Ellen. (2020). 21st Century Skills for All: Adults and Problem Solving in Technology Rich Environments. Technology, Knowledge, and Learning. 25. 929-951. 10.1007/s10758-019-09403-y. Reich, Zvi & Lahav, Hagar. (2020). What on Earth do Journalists Know? A New Model of Knowledge Brokers’ Expertise. Communication Theory. 31. 10.1093/ct/qtaa013. Väliverronen, Esa & Laaksonen, Salla-Maaria & Jauho, Mikko & Jallinoja, Piia. (2020). Liberalists and data-solutionists: redefining expertise in Twitter debates on coronavirus in Finland. Journal of Science Communication. 19. 1-21. 10.22323/2.19050210. Marchau, V.A.W.J., Walker, W.E., Bloemen, P.J.T.M., Popper, S.W. (Eds.) 2019. Decision Making under Deep Uncertainty From Theory to Practice https://www.springer.com/gp/book/9783030052515 Stern, Marc J (2018) Social Science Theory for Environmental Sustainability: A Practical Guide. Oxford University Press, Oxford, UK. ISBN: 978-0-19-879318-2. Kostas Kampourakis, & Kevin McCain (2019) Uncertainty: How it makes science advance. Oxford University Press, New York, NY. ISBN: 978-0-19-087166-6
courseContent hu
A kurzus bevezetést nyújt a szakértőiséggel/szakértelemmel és a transzdiszciplináris kutatási és innovációs stratégiákkal foglalkozó egyre növekvő szakirodalomba. Témák - a tudomány kommunikációja, tudományos és médiaműveltség - a tudomány természete, a tudomány természete a társadalomban (NOS, NOSIS) - a "szakértelem fraktálmodellje", a szakértelem "periódusos táblázata". - társadalmi és kognitív előítéletek, 21. századi készségek, egész életen át tanulás - "gonosz problémák" és "ügyetlen megoldások" a fenntartható fejlődés érdekében, fenntartható termelés és fogyasztás - válságkezelés a világjárványban; áltudományok, határterületek A tárgyalt problématerületeket esettanulmányokkal illusztráljuk.
courseContent en
The course offers an introduction to the growing literature on expertise and transdisciplinary research and innovation strategies. Topics - the ‘public understanding of science’, scientific & media literacy - nature of science, nature of science is society (NOS, NOSIS) - the ‘fractal model of expertise’, the 'periodic table' of expertise - social and cognitive biases, 21st century skills, life-long learning. -'wicked problems’ and 'clumsy solutions' for sustainable development & innovation, sustainable consumption and production - crisis-response in pandemic; pseudoscience, fringe-science, post-truth The covered problem-spaces will be illustrated with case studies.
assessmentMethod hu
A GTK alapszakjain az általános számonkérési és értékelési követelmények az alábbi linken az "Általános tájékoztatók" alatt érhetők el (ELTE GTK Tanulmányi Hivatal,  https://gtk.elte.hu/content/alapkepzes.t.14913?m=5049 )
assessmentMethod en
(Following general course assessment criteria for ELTE FoE courses). The course consists of 12 sessions (lecture/seminar) and 2 midterm exams (there are no video sessions). A total of 100 points can be earned throughout the term. Out of this, 90 points can be obtained by writing midterm exams during the term to secure the exam eligibility and an additional 10 points can be obtained on lectures and home assignments. Students may use any of these exercises (15-20 points)  and to get the max. 10 obtainable extra points to get an offered grade. Active student participation in lectures and seminars (e.g., presentations, reports on group projects, homework reviews etc.) will be appreciated. A student is eligible for the examination above 30 points (or if at least the first midterms is above 50%) and may be offered a grade above 60 points. Based on the total of 100 points obtained during the term students may be offered a grade. Offered grades can only be obtained above 60 points, and the grade limits are the following: 60-69 satisfactory, 70-84 good, 85-100 excellent. If a student does not receive or does not accept his/her offered grade but fulfils the exam eligibility requirements (i.e. has earned a minimum of 30 points), he/she can complete the course by taking the exam. Under normal circumstances, written exams must be organised at the Exam Centre. The grade limits on the exams: 50-54 sufficient, 55-69 satisfactory, 70-84 good, 85-100 excellent. Points received during the teaching period are not added to the exam points.