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230147 SE Digital Methods How Do We Know? (2013S)
Continuous assessment of course work
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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).
- Registration is open from Su 10.02.2013 08:00 to We 27.02.2013 23:59
- Deregistration possible until Fr 22.03.2013 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 04.03. 16:00 - 18:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 18.03. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 08.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 15.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 22.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 29.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 06.05. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Monday 13.05. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
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Last modified: Mo 07.09.2020 15:39
Drawing on literature from STS and critical new media studies we aim to discuss the following questions: What are 'digital methods' and what kind of knowledge do they create? How do (digital) methods organize our research objects and what realities are enacted by them? How can hyperlink networks and Google analyses be used to analyze controversies like climate change or biofuels? How can social networking services, and Twitter in particular, be used to analyze political discourses and 'hacktivist mobilization'? What information hierarchies and biases does commercial software trigger in the research process and how can we handle this problem? What is 'big data' and what are the benefits and dangers of large-scale computational science? And, finally, what are the implications of open access, creative commons and Wikis in the context of both research and politics?