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

06.04.2020
 
14.02.2020
 

Lisa Sigl, Ulrike Felt and Maximilian Fochler published an article about the Narrative Framing of Societal Responsibilities in Academic Life Science...

03.02.2020
 

... goes to Ruth Falkenberg for her Master's thesis and Andrea Schikowitz for her PhD dissertation!

27.01.2020
 

When you study medicine, you become a doctor. When you study law, you become a lawyer. But when you study STS, what do you become?

06.12.2019 09:30
 

Workshop on career orientation and professional opportunities for STS graduates

10.10.2019
 

Ingrid Metzler published an article in BioSocieties about the emergence of non‑invasive prenatal testing in Austria.

 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