Department of Science and Technology Studies

Science, technology and innovation shape life in modern societies in countless ways. Some of these are perceived as positive, others are deeply controversial. In turn, policy, corporations, the media and other societal actors influence how knowledge and technologies are produced. Science and technology studies analyzes these interactions, and aims to foster critical and reflexive debates on the relations of science, technology and society.


 News & Events

29.10.2020
 
15.10.2020
 

Online Event

'Making Europe through infrastructures of (in)security'

The Interdisciplinary Workshop is inspired by the need to investigate how infrastructures of...

15.10.2020
 

Job Announcements: Researcher

The Department of Science and Technology Studies seeks to employ 2 pre-doctoral and/or 2 post-doctoral researchers.

16.07.2020
 
25.05.2020
 

Call for Abstracts

'Making Europe through infrastructures of (in)security'

The Interdisciplinary Workshop is inspired by the need to investigate how infrastructures of...

13.05.2020
 

Please note: cancellation of talks in June

 New Publications

Mayer K. Netzwerkvisualisierungen. Anmerkungen zur visuellen Kultur der Historischen Netzwerkforschung. In Handbuch Historische Netzwerkforschung. 2016 doi: 10.5281/zenodo.48745

Mayer K, Aibar E. Open Science in Practice - STS approaches to open cultures in research. EASST Review. 2016. doi: http://doi.org/10.5281/zenodo.200180

Felt U. The temporal choreographies of participation: Thinking innovation and society from a time-sensitive perspective. In Chilvers J, Kearnes M, editors, Remaking Participation: Science, Environment and Emergent Publics. London/New York: Routledge. 2016. p. 178-198 doi: 10.4324/9780203797693

Boon W, Aarden E, Broerse J. Path creation by public agencies — The case of desirable futures of genomics. Technological Forecasting & Social Change. 2015 Oct;99:67-76. doi: 10.1016/j.techfore.2015.06.038

Morstatter F, Pfeffer J, Mayer K, Liu H. Text, topics, and turkers: A consensus measure for statistical topics. In HT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc. 2015. p. 123-131 doi: 10.1145/2700171.2791028