Universität Wien
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233042 SE How to do Inter- and Transdisciplinarity? (2025S)

An introduction into practices, competences and tools of scientific collaboration

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Fr 07.03. 09:00-12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

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

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Attendance
Please note: If you miss the first session of the course unexcused, you will be automatically de-registered.
Presence and participation is compulsory. The course takes place in person. Only in exceptional cases online participation is possible (e.g. in case of positive Covid test results). This must be discussed with the lecturer in advance. In any case, online participation also means that it is the student's responsibility to actively participate in the course.
Absences of four hours at maximum are tolerated, provided that the lecturer is informed about the absence. Absences of up to eight hours in total may be compensated by either a deduction of grading points or/and extra work agreed with the lecturer. Whether compensation is possible is decided by the lecturer.
Absences of more than eight hours in total cannot be compensated. In this case, or if the lecturer does not allow a student to compensate absences of more than four hours, the course cannot be completed and is graded as a ‘fail’ (5), unless there is a major and unpredictable reason for not being able to fulfill the attendance requirements on the student’s side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. It is the student’s responsibility to communicate this in a timely manner, and to provide relevant evidence to their claims if necessary. Whether this exception applies is decided by the lecturer.

  • Friday 14.03. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 21.03. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 04.04. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 11.04. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 09.05. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 16.05. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 13.06. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Friday 20.06. 09:00 - 12:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Aims, contents and method of the course

Collaborations that stretch beyond the confines of single disciplines and/or include knowledge from different stakeholders or civil society have the potential to tackle big societal challenges in an increasingly complex world. Therefore, such practices have become evermore important within scientific research and knowledge production and have found their way into the academic landscape under various names such as inter- and transdisciplinarity, knowledge co-creation and integration, participatory research, stakeholder involvement, open (innovation in) science or citizen science. Yet, such collaborations also bear the potential of various challenges and difficulties uncommon to disciplinary knowledge production. For instance, implicit epistemic hierarchies can lead to the perception that some forms of knowledge are more legitimate than others, participants may feel exploitation of their knowledge or different modes of knowledge production and circulation could come into conflict. So how to tackle these challenges and facilitate co-production of knowledge on equal terms? In this seminar we will look at the historic and disciplinary development of participatory practices, how potential conflicts and challenges of such collaborations are intertwined with the contemporary academic system and what methods can be used to integrate various kinds of knowledge and expertise. Throughout the class, students will not only learn about the theory of inter- and transdisciplinarity but also have the opportunity to practically engage with various facilitation methods as well as design and conduct a small participatory research project. Thereby they will continuously receive feedback and support by the lecturers.

Assessment and permitted materials

Grading Scheme:
The grading scheme is based on a total of 100 points. These points will be awarded in relation to students’ performance in meeting the course learning aims in the different obligatory tasks. The maximum number of points to be acquired for each task is:

Participation in class, individual work (preparation of texts, participation in discussions, engagement in exercises): 20 p.
Group work, collective work (Presentation of work in progress, Final presentation, Sketch of research project): 50 p.
Reflections, individual work (Self-reflection on facilitation, Reflection on roles and dynamics in group work): 30 p.

Minimum requirements and assessment criteria

Minimum requirements:
A minimum of 50 points is necessary to successfully complete the course. Failure to meet the attendance regulations, to deliver course assignments on time or to adhere to standards of academic work may result in a deduction of points.

Grades
100-89 points Excellent (1)
88-76 points Good (2)
75-63 points Satisfactory (3)
62-50 points Sufficient (4)
49-0 points Unsatisfactory (5) (fail)

Attendance
Please note: If you miss the first session of the course unexcused, you will be automatically de-registered. Presence and participation is compulsory (for details, see course regulation in the handout).

Important Grading Information
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met.

Guidelines for the use of AI tools
If you use AI (e.g., Chat GPT or similar software) as a supporting tool in your assignments, this should be acknowledged openly and clearly, so that the instructor is aware of where and to what extent the AI tool was used.

Examination topics

n.a.

Reading list

Obligatory readings will be listed in the handout of the course, further readings will be mentioned in presentations and materials.
Obligatory readings will be provided as PDF via Moodle.

Association in the course directory

Last modified: Th 23.01.2025 16:26