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180030 VO-L Introduction to media philosophy (2025S)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Dates, places & times: take a look at the German version for the dates; contents of the units is provided here
UNIT #1 |
First meeting & introduction
UNIT #2 |
Innovation and Knowledge Generation: Introduction and Basics
- What is innovation?
- Observation and perception in innovation processes
UNIT #3
Cognitive science foundations of innovation and knowledge generation
- Perception
- Mental models and cognition
UNIT #4
Innovation, knowledge generation and learning processes
- Basics of knowledge generation
- Paradigms of learning (and innovation)
- Alternative forms of innovation | Emerging Innovation: “Learning from the future as it emerges”
UNIT #5
Prototyping
- Design thinking approaches
- Storyboarding
- prototyping
UNIT #6
Enabling Spaces: Organizations and Innovation
- Affordances and future-driven innovation
- Organizational design
- Enabling Spaces as spaces for enabling knowledge and innovation work
- Case Studies
- Overspill
Exams:
- You can find the exam dates on u:find in the description of this course under "Exam dates"
- You must register via https://uspace.univie.ac.at/ for/before the respective examination date (please note the registration deadlines)!
- Otherwise, no grade can be issued for this exam.
- Please follow the instructions that are given at the respective exam date
Notes & further information
* It is recommended to take this course in combination with the course "Innovation Lab: From Idea to Prototype", although this VO can also be taken "stand-alone".
* Important: You must register for this course via https://uspace.univie.ac.at/!
* By registering for this course, you agree that the automated plagiarism check software Turnitin will check all written parts you have submitted in Moodle.
* For more information see: https://homepage.univie.ac.at/franz-markus.peschl/
- N Monday 10.03. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 17.03. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 24.03. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 31.03. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 07.04. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 28.04. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 05.05. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 12.05. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 19.05. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 26.05. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 02.06. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 16.06. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 23.06. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
- Monday 30.06. 20:15 - 21:30 Hörsaal 7 Hauptgebäude, Hochparterre, Stiege 7
Information
Aims, contents and method of the course
Assessment and permitted materials
Written online exam, >60% of the points must be achieved for a positive result.The exam for the lecture takes the form of a "24h-take-home/open-book online exam":
- If you are registered for this exam date, you will receive the questions/questionnaires for this exam by e-mail on the above start date/time. From this point on, you have 24 hours to work on the questions. You will find all further instructions on the questionnaire.
- After the 24 hours, return this paper/essay and the exam paper online (via Moodle).
- Further information on the (online) procedure can be found at the respective examination date.- You can use all documents and resources available to you for your work; however, they must be cited in accordance with the requirements of scientific work.
- Please let the course instructor know at least 2 weeks before the exam date if you do not have the necessary technical infrastructure (computer, internet access, etc.) to take the exam.- Reserve enough time for your work on this day.
- You have to register via https://uspace.univie.ac.at/ for/before the respective exam date (please note the deadlines for registration)!
Otherwise, no grade can be issued for this exam.
- By registering for this course/examination, you agree that all written (partial) achievements submitted by you via Moodle will be checked with the automated plagiarism check software Turnitin.
- You can find the exam dates on u:find in the description of this course under "Exam dates"Information for your preparation:
* you have to write your exam in electronic form (i.e., no handwritten papers)
* you have to submit your answers electronically as a pdf file (see below)
* you may use all resources (you have to quote them, however!)
* there will be a plagiarism check upon your submission (Turnitin)
* Working language: English & German
* If unauthorized aids (e.g., any kind of plagiarism; including also generative [AI] technologies (if not quoted)) are used and/or the exam is not written by yourself, the exam will not be graded and documented with an X in the transcript of records.
* In case you make use of generative [AI] technologies, you have to make it recognizable & make explicit, in which way you used it. In case there is a suspicion that you have not declared the use of these technologies, the statutes of the University of Vienna foresee a plausibility check by the course instructor (in the form of an oral conversation).
* If the exam is aborted without good reason or not uploaded to Moodle within the specified period of time, the exam will be graded as "nicht genügend".
* if you experience any difficulties or if you did not receive the question sheet by the above given time, please contact the course instructor *immediately* via mail: franz-markus.peschl@univie.ac.at
- If you are registered for this exam date, you will receive the questions/questionnaires for this exam by e-mail on the above start date/time. From this point on, you have 24 hours to work on the questions. You will find all further instructions on the questionnaire.
- After the 24 hours, return this paper/essay and the exam paper online (via Moodle).
- Further information on the (online) procedure can be found at the respective examination date.- You can use all documents and resources available to you for your work; however, they must be cited in accordance with the requirements of scientific work.
- Please let the course instructor know at least 2 weeks before the exam date if you do not have the necessary technical infrastructure (computer, internet access, etc.) to take the exam.- Reserve enough time for your work on this day.
- You have to register via https://uspace.univie.ac.at/ for/before the respective exam date (please note the deadlines for registration)!
Otherwise, no grade can be issued for this exam.
- By registering for this course/examination, you agree that all written (partial) achievements submitted by you via Moodle will be checked with the automated plagiarism check software Turnitin.
- You can find the exam dates on u:find in the description of this course under "Exam dates"Information for your preparation:
* you have to write your exam in electronic form (i.e., no handwritten papers)
* you have to submit your answers electronically as a pdf file (see below)
* you may use all resources (you have to quote them, however!)
* there will be a plagiarism check upon your submission (Turnitin)
* Working language: English & German
* If unauthorized aids (e.g., any kind of plagiarism; including also generative [AI] technologies (if not quoted)) are used and/or the exam is not written by yourself, the exam will not be graded and documented with an X in the transcript of records.
* In case you make use of generative [AI] technologies, you have to make it recognizable & make explicit, in which way you used it. In case there is a suspicion that you have not declared the use of these technologies, the statutes of the University of Vienna foresee a plausibility check by the course instructor (in the form of an oral conversation).
* If the exam is aborted without good reason or not uploaded to Moodle within the specified period of time, the exam will be graded as "nicht genügend".
* if you experience any difficulties or if you did not receive the question sheet by the above given time, please contact the course instructor *immediately* via mail: franz-markus.peschl@univie.ac.at
Minimum requirements and assessment criteria
Written online exam, >60% of the points must be achieved for a positive result (see point Type of performance assessment).* The work will be evaluated according to the following criteria:
# scientific quality
# Stringency and well-founded argumentation
# Consideration of the existing scientific literature (and its citation)
# Originality
# Interdisciplinarity
# Bring in your own disciplinary background- The aim of this exam is not to reproduce what you have learned, but to independently write a short scientific paper/essay on the topic of the respective exam question(s), in which you develop your own ideas, arguments and concepts.
- Since this form of the exam offers sufficient time for work and research, a high-quality paper/essay that meets the criteria of a small scientific work (extended abstract) is expected.Grading:
%/points | grade
93-100 | sehr gut (1)
81-92 | gut (2)
71-80 | befriedigend (3)
61-70 | genügend (4)
0-60 | nicht genügend (5)- You have to be (a) registered for this course and (b) register via https://uspace.univie.ac.at/ for/before the respective exam date (please note the registration deadlines)!
Otherwise, no grade can be issued for this exam.
- If, after registering for an exam date, you decide not to take part in the exam, you must deregister from this exam before the deadline.
- If the exam is canceled without giving an important reason or is not uploaded to Moodle within the specified period, the exam will be assessed as "insufficient".
Examination topics
- Contents of the lecture
- Slides of the lecture will be made available on Moodle
- Slides of the lecture will be made available on Moodle
Reading list
Literature selection:
Chen, J., A. Brem, and P.K. Wong (Eds.) (2019). The Routledge Companion to innovation management. Oxon, New York: Routledge.
Dodgson, M. and D. Gann (2010). Innovation. A very short introduction. Oxford: Oxford University Press.
Edwards-Schachter, M. (2018). The nature and variety of innovation. International Journal of Innovation Studies 2018.
Hennessey, B.A. and T.M. Amabile (2010). Creativity. Annual Review of Psychology 61, 569–598.
Kahn, K.B. (2018). Understanding innovation. Business Horizons 61(3), 453–460.
Kauffman, S.A. (2014). Prolegomenon to patterns in evolution. BioSystems 123(2014), 3–8.
Krippendorff, K. (2006). The semantic turn. A new foundation for design. Boca Raton, FL: Taylor and Francis CRC Press.
Krippendorff, K. (2011). Principles of design and a trajectory of artificiality. Journal of Product Innovation Management 28(3), 411–418.
Miller, R. (Ed.) (2018). Transforming the future. Anticipation in the 21st century. Oxon, New York: Routledge.
Peschl, M.F. and T. Fundneider (2012). Spaces enabling game-changing and sustaining innovations: Why space matters for knowledge creation and innovation. Journal of Organisational Transformation and Social Change (OTSC) 9(1), 41–61.
Peschl, M.F., T. Fundneider, and A. Kulick (2015). On the limitations of classical approaches to innovation. From predicting the future to enabling "thinking from the future as it emerges". In Austrian Council for Research and Technology Development (Ed.), Designing the Future: Economic, Societal and Political Dimensions of Innovation, pp. 454–475. Wien: Echomedia.
Peschl, M.F. (2019). Design and innovation as co?creating and co?becoming with the future. Design Management Journal 14(1), 4–14.
Poli, R. (2011). Steps toward an explicit ontology of the future. Journal of Future Studies 16(1), 67–78.
Poli, R. (2021). The challenges of futures literacy. Futures 132, 1–9.
Scharmer, C.O. (2016). Theory U. Leading from the future as it emerges. The social technology of presencing (second ed.). San Francisco, CA: Berrett-Koehler Publishers.
Tidd, J and J. Bessant (2020). Managing innovation. Integrating technological, market and organizational change (7th ed.). Chichester: John Wiley & Sons.
Tsoukas, H. and R. Chia (2002). On organizational becoming: Rethinking organizational change. Organization Science 13(5), 567–582.
Tsoukas, H. (2005). Complex knowledge. Studies in organizational epistemology. Oxford, New York: Oxford University Press.in organizational epistemology. Oxford, New York: Oxford University Press.
Chen, J., A. Brem, and P.K. Wong (Eds.) (2019). The Routledge Companion to innovation management. Oxon, New York: Routledge.
Dodgson, M. and D. Gann (2010). Innovation. A very short introduction. Oxford: Oxford University Press.
Edwards-Schachter, M. (2018). The nature and variety of innovation. International Journal of Innovation Studies 2018.
Hennessey, B.A. and T.M. Amabile (2010). Creativity. Annual Review of Psychology 61, 569–598.
Kahn, K.B. (2018). Understanding innovation. Business Horizons 61(3), 453–460.
Kauffman, S.A. (2014). Prolegomenon to patterns in evolution. BioSystems 123(2014), 3–8.
Krippendorff, K. (2006). The semantic turn. A new foundation for design. Boca Raton, FL: Taylor and Francis CRC Press.
Krippendorff, K. (2011). Principles of design and a trajectory of artificiality. Journal of Product Innovation Management 28(3), 411–418.
Miller, R. (Ed.) (2018). Transforming the future. Anticipation in the 21st century. Oxon, New York: Routledge.
Peschl, M.F. and T. Fundneider (2012). Spaces enabling game-changing and sustaining innovations: Why space matters for knowledge creation and innovation. Journal of Organisational Transformation and Social Change (OTSC) 9(1), 41–61.
Peschl, M.F., T. Fundneider, and A. Kulick (2015). On the limitations of classical approaches to innovation. From predicting the future to enabling "thinking from the future as it emerges". In Austrian Council for Research and Technology Development (Ed.), Designing the Future: Economic, Societal and Political Dimensions of Innovation, pp. 454–475. Wien: Echomedia.
Peschl, M.F. (2019). Design and innovation as co?creating and co?becoming with the future. Design Management Journal 14(1), 4–14.
Poli, R. (2011). Steps toward an explicit ontology of the future. Journal of Future Studies 16(1), 67–78.
Poli, R. (2021). The challenges of futures literacy. Futures 132, 1–9.
Scharmer, C.O. (2016). Theory U. Leading from the future as it emerges. The social technology of presencing (second ed.). San Francisco, CA: Berrett-Koehler Publishers.
Tidd, J and J. Bessant (2020). Managing innovation. Integrating technological, market and organizational change (7th ed.). Chichester: John Wiley & Sons.
Tsoukas, H. and R. Chia (2002). On organizational becoming: Rethinking organizational change. Organization Science 13(5), 567–582.
Tsoukas, H. (2005). Complex knowledge. Studies in organizational epistemology. Oxford, New York: Oxford University Press.in organizational epistemology. Oxford, New York: Oxford University Press.
Association in the course directory
Last modified: Fr 10.01.2025 00:01
?Theoretical foundations (innovation theory, epistemological, scientific and cognitive science foundations, organizational theory, etc.), and practical tools will be presented, ranging from idea generation and creativity processes, structuring of knowledge, deep observation, potential identification, "learning from the future", "listening to what wants to emerge", to prototyping, design, presentation of an innovation and basics of didactics of knowledge transfer and collaborative knowledge generation.In this course, state-of-the-art innovation and knowledge generation concepts and technologies (and their theoretical backgrounds) are presented and practically applied in concrete settings (e.g. making explicit implicit assumptions, understanding patterns of perception and thinking, theory-u/presencing, different modes of profound and qualitative/ethnographic observation, interviews, deep knowing, exploring potentials, prototyping, etc.). These processes affect both the individual and the collective level of organizations.In addition to the lecture, this course offers sufficient space for reflection and discussion of student questions.Target groups: This course is open to students from all disciplines; it is interdisciplinary and is particularly aimed at students whose future field of work is in knowledge- and innovation-intensive fields/areas.