Universität Wien FIND
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400018 SE Creating versions of the world through science and technology (2021W)

SE Theory for Doctoral Candidates

Continuous assessment of course work
ON-SITE

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. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Friday 15.10. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Friday 29.10. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Friday 19.11. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Friday 10.12. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Friday 21.01. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Friday 28.01. 14:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Aims, contents and method of the course

Data enacts that which it represents. It brings into being objects and subjects through gathering, classifying, storing, retrieving and analysing data as well as chosing specific representational practices. This also means to be attentive to the social and political struggles which are often hidden behind the dense speaking about data as if it would simply represent these subjects and objects independently. Indeed, over the past years the very meanings and practices of research data and the ways in which they are collected and used have undergone considerable shifts. Digitization and datafication shape and transform not only our research practices but also the subjects/the questions we are researching. It transforms how we value, assess and justify what we (can) know and how we know. This includes a reflection of the data work that has become part of academic research, but also how we structure and care for our data. In short, in this seminar we want to engage with a specific version of what Ruppert and co-authors (2017) have called data politics, i.e. how political questions in relation to scientific and technological developments get articulated through data and how data in turn create governance effects. The seminar invites through reading key texts and reflecting the different PhD projects, to engage with the ways in which data and related practices are become a matter of concern within the own project and beyond. This means exploring the conditions of the possible (to what data do we get access, who gets voice through specific sets of data, what is made invisible through data choices, onership of data) as well as the kinds of choices that are involved, which both lead, in the end, to the creation of a specific vision of the world and no other. The seminar aims to specifically address students who work on topics related to science and technology, as in these cases data (practices) are a key constitutive element of the study objects, while researchers are simultaneously asked to produce data on field-specific and situated data practices.

Assessment and permitted materials

To pass the seminar, participants are expected to complete the following tasks:
- prepare a paper on your methodological approach to your PhD research and describe your understanding of "data" and how your work relates to "the digital"
- Participate in 5 of the 6 classes
- Read the distributed texts for each unit and participate actively in their discussion;
- Kick-off the discussion in one of the seminar units (group work)
- Write a short reflection for each unit (500-800 words) pointing to a specific aspect in the reading which is most relevant to your research/to wider societal concerns (this has to be done for 5 of the 6 units - has to be handed in by Wednesday before the seminar)

Minimum requirements and assessment criteria

Grading of the course is based on the separate assessment of the different tasks on a scale of 1-5.

Written papers: 45 percent, individually assessed, feedback provided by the lecturer upon request;
Organisation of one unit: 25 percent, individually assessed, feedback provided by the lecturer upon request;
Active participation in the discussion, punctuality of submissions: 30 percent, individually assessed, no feedback.

Each partial performance is independently evaluated. Attendance, punctuality in handing in papers and adherence to academic standards are required, but can have a negative effect on the overall grade if they are not adhered to. To achieve a positive grade, the weighted average of the sub-grades must be greater than or equal 4.5.

Important Grading Information
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met. If a required task is not fulfilled, e.g. a required assignment is not handed in or if the student does not meet the attendance requirements, this will be considered as a discontinuation of the course. In that case, the course will be graded as ‘fail’ (5), unless there is a major and unpredictable reason for not being able to fulfill the task 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 Vice-Director of the study program.
If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam or plagiarizing parts of a written assignment, the entire course will be graded as ‘not assessed’ and will be entered into the electronic exam record as ‘fraudulently obtained’. Self-plagiarism, particularly re-using own work handed in for other courses, will be treated likewise.

Presence is compulsory (as menioned above)

Examination topics

Reading list


Association in the course directory

Last modified: Mo 11.10.2021 00:06