Mag.a Katja Mayer

Senior Post Doc
(Elise Richter Fellowship FWF)
The Politics of Openness

The Politics of Openness

Tel: +43-1-4277-49612


Katja Mayer is a sociologist and works at the interface of science, technology and society. Since 2019, she is working as senior postdoc with the Elise Richter Fellowship (FWF) at the Department of Science and Technology Studies at the University of Vienna. Her research focuses on the interaction between social science methods and their public spheres.

As part of her postdoc position at the Professorship of Computational Social Science and Big Data, she researched and taught in the field of "Critical Data Studies" at TU Munich.

Her focus is on the cultural, ethical and socio-technical challenges at the interface of computer science, social sciences and society. Data is treated less as a new raw material, but as a highly variable and fragile phenomenon. In the context of data-driven decision-making, data are not considered as "given", but the way we collect, transform, analyze, and trust data is up for discussion.

In addition, Katja also works as Senior Scientist at the Center for Social Innovation in Vienna and is an Associate Researcher at the University of Vienna's platform "Responsible Research and Innovation in Scientific Practice". For many years she has been teaching Sociology, STS and Web Sciences at the University of Vienna, the Danube University Krems, the University of Art and Design Linz and the University of Lucerne. She was a visiting fellow at the School of Computer Science at Carnegie Mellon University (USA). She is a member of the core team of the Open Access Network Austria (OANA) and co-heads the working group "National Strategy for the Transition to Open Science". In the years 2011-2013 she was a research fellow of the President of the European Research Council (ERC).


Mayer K, Pfeffer J. Critical data and algorithm studies: Editorial. Frontiers in Big Data. 2023 Mai 10;6:1193412. doi: 10.3389/fdata.2023.1193412

Serbe-Kamp É, Bemme J, Pollak D, Mayer K. Open Citizen Science: fostering open knowledge with participation. Research Ideas and Outcomes. 2023 Jan 23;9. doi: 10.3897/rio.9.e96476

Mayer K. Von Verbindungen und Banden des Wissens. in Hofhues S, Schütze K, Hrsg., Doing Research: Wissenschaftspraktiken zwischen Positionierung und Suchanfrage. Bielefeld: transkript. 2022. S. 130-137 doi: 10.14361/9783839456323-016, 10.14361/9783839456323-016

Mayer K, Schürz S, Kieslinger B, Schaefer T. Editorial: Participatory Evaluation and Impact Assessment in Citizen Science. Plattform Forschungs- und Technologieevaluierung . 2022 Sep;(54):5-9. doi: 10.22163/fteval.2022.566

Mayer K, Shah EI. Human Sensors. in Sensing In/Security. Mattering Press. 2022. S. 206-215 doi:

Mayer K. Open Access im Wandel: Infrastrukturen, Monitoring und Governance als zentrale Elemente einer erfolgreichen Transformation. . Wien: BMBWF, 2022. 105 S. (The fteval Journal for Research and Technology Policy Evaluation). doi: 10.22163/fteval.2022.533

Mayer K, Schürz S, Kieslinger B, Schäfer T. Transformation messen und verstehen: partizipative Evaluationsansätze für Citizen Science. in Howaldt J, Kreibich M, Streicher J, Thiem C, Hrsg., Zukunft gestalten mit Sozialen Innovationen: Neue Herausforderungen für Politik, Gesellschaft und Wirtschaft. 1 Aufl. Frankfurt: Campus. 2022. S. 207-224

Wöhrer V, Kerschhofer-Puhalo N, Kieslinger B, Mayer K, Schürz S, Truckenbroth S et al. ‘Hard to reach’ or ‘easy to ignore’. Strategies and reflections on including co-researchers. Proceedings of Science (PoS). 2021 Apr 12;ACSC2020:1-5. 017. doi: 10.22323/1.393.0017

Albert A, Mayer K, Bálint B, Butkevičienė E, Perelló J. Citizen Social Science: New and Established Approaches to Participation in Social Research. in The Science of Citizen Science. 2021. S. 119-138 doi:

Mayer K. Social Sensors: on the Epistemology of Remote Social Sensing. in Becker K, Stalder F, Hrsg., Digital Unconscious. Nervous Systems and Uncanny Predictions!. Autonomedia. 2021. S. 143-148

Mayer K, Weber J. Targeting from a Distance: Formatting Social Relations in Data-Driven Warfare. in Burkhardt M, Shnayien M, Grashöfer K, Hrsg., Explorations in Digital Cultures. meson press. 2021. S. 1-20

Mayer K, Rieck K, Stefan R, Danowski P, Graschopf A, König T et al. Empfehlungen für eine nationale Open Science Strategie in Österreich. 2020 Okt 21. doi: 10.5281/zenodo.4109242

Mayer K, Strassnig M. The Digital Humanism Initiative in Vienna: A Report based on our Exploratory Study Commissioned by the City of Vienna. in Fritz J, Tomaschek N, Hrsg., Digitaler Humanismus. 1 Aufl. Band 9. Wien: Waxmann Verlag. 2020 doi:

Heck T, Mayer K, Peters I, Fischer C, Breznau N, Havemann J et al. Open Science, aber richtig! Was wir aus der Heinsberg-Studie lernen können. 2020. doi: 10.31222/,

Breznau N, Mayer K, Fischer C, Havemann J, Heck T, Peters I et al. Open Science, but Correctly! Lessons from the Heinsberg Study. 2020. doi: 10.31222/,

Mayer K, Dobusch L, Heimstädt M, Ross-Hellauer T. Defining predatory journals: no peer review, no point. Nature. 2020 Apr 1;580(7801):29-29. 29. doi: 10.1038/d41586-020-00911-x

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