Logo Utrecht University

Utrecht Data School


Books / edited volumes

Van Es, Karin and Eef Masson, eds. 2018. Big Data Histories. TMG: Journal for Media History 21(2) [open access link]

Schäfer, Mirko and Karin van Es (eds). 2017. The Datafied Society. Studying Culture through Data. Amsterdam: Amsterdam University Press. [PDF]

Schäfer, Mirko Tobias (ed.) 2016. Challenging Citizenship: Social Media and Big Data, special issue Journal Computer Supported Cooperative Work, Volume 25, Issue 2-3, http://link.springer.com/journal/10606/25/2/page/1

Peer-reviewed articles

Wieringa, M.A. (2020). What to account for when accounting for algorithms: A systematic literature review on algorithmic accountability. In ACM Conference on Fairness, Accountability, and Transparency (FAT* ’20), January 27–30, 2020, Barcelona, Spain. ACM, New York, NY, USA, 18 pages. https://dl.acm.org/doi/abs/10.1145/3351095.3372833

van Es, Karin and Michiel de Lange. (2020). “Data with its boots on the ground: Datawalking as research method.European Journal of Communication. https://journals.sagepub.com/doi/10.1177/0267323120922087

Masson, Eef, Karin van Es and Maranke Wieringa. (2020). “Data Walking for Critical Data Studies: An Explorative Survey of Data Walking Methodologies.” Digital Culture & Education 11(1): 36-52. https://www.digitalcultureandeducation.com/volume-11

Masson, Eef and Karin van Es. (2020). “Rain on Your Radar: Engaging in Weather Data as Part of Everyday Routines.” In Data Visualization in Society, eds. Helen Kennedy and Nils Martin Engebretsen. Amsterdam: Amsterdam University Press. 77-94. https://www.jstor.org/stable/j.ctvzgb8c7

Van Geenen, D., and Wieringa, M.A. (2020) Approaching data visualisations as interfaces. In: Data visualization in society: the relationships between graphs, charts, maps and meanings, feelings, engagements. Kennedy, H., and Engebretsen, M. (eds.) Amsterdam: Amsterdam University Press. https://www.jstor.org/stable/j.ctvzgb8c7.15

Meijer, Albert, Mirko Tobias Schäfer, Martiene Branderhorst. (2019). Principes voor goed lokaal bestuur in de digitale samenleving. Een aanzet tot een normatief kader. In: Bestuurswetenschappen Vol. 73, Nr. 4, pp. 8-23. Download article here.

Masson, Eef & van Es, K.F. (2019). Encounters at the Threshold – Interfacing Data in Urban Space. Leonardo Electronic Almanac, 22 (4). Read article here.

Wieringa, M.A., van Geenen, D., van Es, K.F. & van Nuss, Jelmer (2019). The Fieldnotes Plugin: Making Network Visualisation in Gephi Accountable. In: Good Data, Institute of Network Cultures. Download the entire volume here.

Muis, Iris, van Schie, Gerwin, Wieringa, Maranke & de Winkel, T. (2019). ‘Liberation Begins with Stating the Facts’: Framing Statistics and Information Bricolage in Geert Wilders’ Twitter Practice. Open Library of Humanities, 5 (1), pp. 1-31. Download article here.

Schäfer, M.T. & van Schie, Gerwin (2019). Utrecht Data School. Eine unternehmerische Plattform für Unterricht und angewandte Forschung im Bereich der Datafizierung. Zeitschrift für Politikwissenschaft, 29 (1), (pp. 123-140) (18 p.).

Van Schie, Gerwin (2018). Origins: A History of Race-Ethnic Classification in the Dutch Governmental Data Ontology. TMG – Journal for Media History, 21 (2), pp. 67-88. Download article here.

Van Es, Karin and Eef Masson, eds. 2018. “Big Data Histories: An Introduction.” TMG: Journal for Media History 21(2): 1-6. http://www.tijdschriftmediageschiedenis.nl/index.php/tmg/article/view/363

Oosterloo, Serena & van Schie, Gerwin (2018). The Politics and Biases of the “Crime Anticipation System” of the Dutch Police. In Jo Bates, Paul. D. Clough, Robert Jäschke & Jahna Otterbacher (Eds.), Proceedings of the Workshop on Bias in Information, Algorithms and Systems, Sheffield: CEUR Workshop Proceedings, pp. 30-41. Download article here.

Van Es, Karin, Maranke Wieringa and Mirko Tobias Schäfer. 2018. “Tool Criticism: From Digital Methods to Digital Methodology.” ACM WS.2 2018 Proceedings of the 2nd International Conference on Web Studies. (download here)

Kessler, Frank and Mirko Tobias Schäfer: Trust in Techno-images: Early Media Collections as Precursors of Big Data. In: TMG – Journal for Media History 21, no. 2, special issue “Big Data Histories”, pp. 52-66. Download article at TMG.

Wieringa, M.A. (2018). Making Sense of the Data-driven – SETUP’s Algorithmic History Museum and Its Relevance for Contemporary Reflection. TMG – Journal for Media History 21, no. 2, special issue “Big Data Histories”, pp. 187-194. Download article at TMG.

Wieringa, Maranke, Daniela van Geenen, Mirko Tobias Schäfer, and Ludo Gorzeman. 2018. Political topic-communities and their framing practices in the Dutch Twittersphere. In: Internet Policy Review, Vol 7, No 2. Download article here.

Van Es, Karin. 2017. “An Impending Crisis of Imagination: Data‐Driven Personalization in Public Service Broadcasters.” Media@LSE Working Paper Series http://www.lse.ac.uk/media@lse/research/mediaWorkingPapers/pdf/Working-Paper-43.pdf

Geenen, Daniela van, Mirko Tobias Schäfer, Thomas Boeschoten, Erik Hekman, Piet Bakker, and Jonas Moons.  2016. “Mining One Week of Twitter. Mapping Networked Publics in the Dutch Twittersphere.” In: Selected Paper of Internet Research 2016: The 17th Annual Conference of the Association of Internet Researchers. Berlin, Germany. [PDF]

Zoomers, Annelies, Alex Gekker, Mirko Tobias Schäfer. 2016. “Between two hypes: Will “big data” help unravel blind spots in understanding the “global land rush?”.” In: Geoforum Vol. 69, February 2016, Pages 147–159, http://dx.doi.org.sci-hub.io/10.1016/j.geoforum.2015.11.017

Van Es, Karin, Daniela van Geenen and Thomas Boeschoten. 2015. “Re-imagining Television Audience Research: Tracing Viewing Patterns on Twitter.” M/C Journal. http://journal.media-culture.org.au/index.php/mcjournal/article/view/1032

Van Es, Karin, Daniela van Geenen and Thomas Boeschoten. 2014. “Mediating the Black Pete Discussion on Facebook: Slacktivism, flaming wars and deliberation.” First Monday. 19.12 (December). http://firstmonday.org/ojs/index.php/fm/article/view/5570/4180


Schäfer, Mirko Tobias. 2019. Een versplinterd publiek domein. Hoe sociale media het politieke debat transformeren. In: Claessen, Rutger, and Judith van Erp (eds.): Ondernemen in de open samenleving. The Hague: Boom, pp. 83-96. Download chapter here. [English translation: A Shattered Public Sphere. How Social Media Platforms Transform the Political Debate.

Van Es, Karin and Mirko Tobias Schäfer. 2017. New Brave World. Introduction to The Datafied Society. In. Schäfer, M.T. and Van Es, K. The Datafied Society. Studying Culture through Data. Amsterdam: Amsterdam University Press :13-24.

Van Es, Karin, Nico Lopez and Thomas Boeschoten. 2017. “A Toolbox for Reflexive Digital Data Analysis.” In. Schäfer, M.T. and Van Es, K. The Datafied Society. Studying Culture through Data. Amsterdam: Amsterdam University Press: 171-180.

Van Schie, Gerwin; Irene Westra, and Mirko Tobias Schäfer. 2017. Get Your Hands Dirty. Emerging Data Practices as Challenge for Research Integrity. In: Schäfer, M.T. and Van Es, K. The Datafied Society. Studying Culture through Data. Amsterdam: Amsterdam University Press: 183-200.

Paßmann, Johannes, Thomas Boeschoten and Mirko Tobias Schäfer. 2014.  “The Gift of the Gab: Retweet cartels and gift economies on Twitter” in Twitter and Society. Eds. Weller, K., Bruns, A., Burgess, J., Mahrt, M., and Puschmann, C. New York: Peter Lang. [PDF]

Schäfer, Mirko Tobias, Nikos Overheul and Thomas Boeschoten.  2012. “Een netwerkanalyse van twitterende Nederlandse politici” in Voorgeprogrammeerd. Hoe internet ons leven leidtRed. Christian van ‘t Hof, Jelte Timmer en Rinie van Est. Den Haag: Boom/Lemma Uitgevers. 188-210 [PDF]

Do you have any questions or feedback? Please let us know! Contact EN


Feedback form