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Research Associate

Kay Cepera

Portrait Kay Cepera © Fabian Adelt​/​TU Dortmund

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Telephone: (+49)231 755-5869
Fax: (+49)231 755-3293

Appointments by prior arrangement

Sozialforschungsstelle Dortmund
Raum 

Postal address

Sozialforschungsstelle Dortmund
Fakultät Sozialwissenschaften
Technische Universität Dortmund
Forschungsgebiet Techniksoziologie

Evinger Platz 17
D-44339 Dortmund

Curriculum Vitae

Career
  • since October 2017: Research associate at Technology Studies Group of TU Dort­mund Univeristy
  • November 2016 until September 2017: Graduate assistant at Technology Studies Group of TU Dort­mund University
  • September 2018: Master of Arts in Social Science Innovation Research at TU Dort­mund University
  • July 2014: Bachelor of Arts in Sociology and Philosophy at the Johannes Gutenberg University in Mainz
Lectures as research associate
  • seminar „Autonomous technical systems / Big Data and Society“ (Master)
  • seminar „Technology of the Web-society“ (Master)
  • tutorial for the seminar „Network Theory“ (Master) 
  • tutorial for the lecture „Techniksoziologie“ (Bachelor)
  • tutorial for the lecture „Organizational Sociology“ (Bachelor)
Research projects
  • InnaMoRuhr – Concept of an Integrated Sustainable Mobility in the Ruhr Area (2020–2023, funded by Ministry of Transport of the State of Nordrhein-Westfalen)
  • ABIDA – Assessing Big Data (2015–2019, funded by BMBF)  
  • KoRiSim – Collaborative Data and Risk Management forFuture Energy Grids –a Simulation Study (2015–2018, funded by BMBF)
  • "Trust in algorithms. An empirical study of users' willingness to change behaviour." 17th Annual STS Conference Graz 2018 Critical Issues in Science, Technology and Society Studies, Graz.
  • "Trust in algorithms. An empirical study of users' willingness to change behaviour. " In ICT We Trust Conference 2018, Graz.
  • "Real-Time Governance of Transportation Systems. A Simulation Study of Private Transport." 18th Annual STS Conference Graz 2019 Critical Issues in Science, Technology and Society Studies, Graz.
  • "Simulating governance of complex transportation systems." Social Simulation Conference 2019, Mainz
  • Cepera, Kay; Konrad, Julius; Weyer, Johannes (2018): Trust in algorithms. An empirical study of users’ willingness to change behaviour. In: Getzinger, Günter, Egger, Stefanie (Hg.): Critical Issues in Science, Technology and Society Studies. Conference Proceedings of the 17th STS Conference Graz 2018. Graz: Verlag der Technischen Universität Graz, S. 38-47. DOI: 10.3217/978-3-85125-625-3
  • Konrad, Julius; Cepera, Kay (2019): Real-Time Governance of Transportation Systems. A Simulation Study of Private Transport. In: Getzinger, Günter; Jahrbacher, Michaela (Hg.): Critical Issues in Science, Technology and Society Studies. Conference Proceedings of the STS Conference Graz 2019, 6 - 7 May 2019. Graz: Verlag der Technischen Universität Graz, S. 239-254  DOI: 10.3217/978-3-85125-668-0
  • Cepera, Kay; Weyer, Johannes; Konrad, Julius (2019): Vertrauen in mobile Applikationen. Eine empirische Studie. TU Dortmund (Soziologische Arbeitspapiere, 58). Available online at:  http://hdl.handle.net/2003/38082.
  • Weyer, Johannes; Adelt, Fabian; Hoffmann, Sebastian; Konrad, Julius; Cepera, Kay (2020): Governing the Digital Society: Challenges for Agent-Based Modelling. In: Harko Verhagen, Melania Borit, Giangiacomo Bravo und Nanda Wijermans (Hg.): Advances in Social Simulation. Looking in the Mirror. 1st ed. 2020. Cham: Springer International Publishing; Imprint Springer (Springer Proceedings in Complexity), S. 473–484. Available online at: http://doi.org/10.1007/978-3-030-34127-5 
  • Konrad, Julius; Weyer, Johannes; Cepera, Kay; Adelt, Fabian (2020): Echtzeitsteuerung komplexer Systeme - Eine Simulationsstudie. TU Dortmund (Soziologische Arbeitspapiere, 57). Available online at: https://eldorado.tu-dortmund.de/handle/2003/39082.
  • Wie beeinflussen Big Data und Algorithmen unsere Gesellschaft? Eine soziologische Sicht auf das Thema. "Versteckte Begleiter - Wie Big Data und Algorithmen unsere Gesellschaft beeinflussen" Bachelor thesis by Felix Klein, HS Karlsruhe, 2018. Online available at: Bachelorarbeit

Location & approach

The  Technical University of Dortmund campus is located near the Dortmund West autobahn junction, where the A45  (Frankfurt-Dortmund) crosses the A40 (Ruhrschnellweg B1). The most convenient autobahn exits are found on the A45 in Dortmund-Eichlinghofen (closer to the south campus) and on the B1 / A40 in Dortmund-Dorstfeld (closer to the north campus). The university is signposted at both exits.

The TU Dortmund has its own S-Bahn station ("Dortmund Universität") on the North Campus. From there, the S-Bahn line S1 runs every 20 or 30 minutes to Dortmund’s central station and in the opposite direction to Düsseldorf’s central station via "Bahnhof Düsseldorf Flughafen". This makes the university directly accessible from the cities of Bochum, Essen, Mülheim an der Ruhr and Duisburg. Furthermore, the TU Dortmund may be reached via buslines 445, 447 and 462.
Individual timetable information for public transport is also available on the website of the Rhine-Ruhr Transport Association, and the Dortmund Transport Authority also offers an interactive route network map.

One of the landmarks of the TU is the H-Bahn overhead monorail which connects the two campuses. Line 1 runs every 10 minutes between the stops Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund Universität S. Line 2 shuttles every 5 minutes between the stops Campus North and Campus South. It covers this distance in two minutes.

To get from the Dortmund airport to the campus, we recommend taking the "Airport Express" to Dortmund's central train station (20 minutes), and then boarding the S-Bahn there.  A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometres away, which can be reached directly by S-Bahn from the university station.