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Mirko Tobias Schäfer

Mirko Tobias Schäfer is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mirko Tobias Schäfer rather than just read about it. In short: Mirko Tobias Schäfer is a media scholar at Utrecht University. He is an Associate Professor of AI, Data & Society at the Department for Information & Computing Sciences and the Sciences Lead of the Data School.

Mirko Tobias Schäfer — main illustration
Mirko Tobias Schäfer — illustration

Key takeaways

  • Mirko Tobias Schäfer belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Mirko Tobias Schäfer to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Mirko Tobias Schäfer from memory before moving on to harder problems.

Reference excerpt

Mirko Tobias Schäfer is a media scholar at Utrecht University. He is an Associate Professor of AI, Data & Society at the Department for Information & Computing Sciences and the Sciences Lead of the Data School.

Biography Schäfer studied theater and media studies and communication science at the University of Vienna and digital culture at Utrecht University. He obtained a Ph.D. in 2008 at Utrecht University. Schäfer's research revolves around (digital) technology, and how it transform society. He publishes on digital culture, cultural theory, new media, big data, and artificial intelligence. In 2011 he was awarded a fellowship at the University of Applied Arts Vienna to study technology use and epistemic practices in art. He has been postdoctoral fellow at the Centre for Humanities at Utrecht University under Rosi Braidotti and a Mercator Research Fellow at the NRW School of Governance. From 2022 to 2025 he was appointed visiting professor at the University of Helsinki. Schäfer also serves on the Advisory Council Analytics of the Ministry of Finance (Netherlands).

Research activity Schäfer investigates the transformational impact of artificial intelligence and data practices on the public sphere and public management. Earlier, Schäfer conducted research on hacker communities, user participation and their impact on cultural industries. In stark contrast to the general field of new media studies his research on participatory culture provides a critical deconstruction of user participation. Coining the term of an extended culture industry he builds upon the cultural critique of the Frankfurt School, most notably Adorno and Horkheimer. Developing the concept of an extended culture industry, Schäfer could show to what extent appropriation of design by users is embedded into corporate production. Through distinguishing user participation into explicit participation and implicit participation, Schäfer delivers a terminology to separate conscious and active user engagement from user activities that are channeled by user interface design. Schäfer's contribution to the field of participatory culture was his distinction of implicit and explicit participation. Explicit participation refers to the conscious activities of cultural production and social interaction as it has been covered by Henry Jenkins in his work on fan culture. Implicit participation refers to the subtle ways of channeling user activities through interface design. Schäfer considers strategies of implicit participation as key aspect in popular social media application He argues that media practices that had been developed in using the world wide web, now are implemented in easy to use interfaces and new business models. Schäfer's analysis of participatory culture depicts an accurate "shift within the commercial media industries to embrace certain conceptions of the fan as an idealized consumer of transmedia entertainment." In his analysis, Schäfer focused on the role of user interface design, platform governance and methods of controlling and channeling user activities. Since 2015 his research is situated in the field of critical data studies and revolves around investigating the impact of datafication and AI on citizenship and democracy. Schäfer is investigating how data practices and artificial intelligence are affecting democracy and citizenship, and how it transforms public management. He is a co-author of the Fundamental Rights & Algorithms Impact Assessment (FRAIA) developed by an interdisciplinary team of scholars at Utrecht University.

Data School Together with Thomas Boeschoten, at the time MA student, Schäfer founded the Utrecht Data School in 2013. It is a platform for teaching data analysis and digital methods. Initially a lack of funding pushed the founders to reach out to external partners, e.g. corporations, government organisations and NGO's, to finance their course through commissioned research projects. That allowed them and their students to work on actual projects and experience how datafication manifests and transforms organisations. Consequently, the Utrecht Data School developed services and products that would enable researchers to enter societal fields as "experts and not as mere researchers." Schäfer dubbed this approach entrepreneurial research. An example for this is their Data Ethics Decision Aid (DEDA), which is a dialogic process for evaluating data projects and develop value-sensitive design. While organizations using DEDA can review and improve their data practices considering values and responsibilities, the researchers who function as workshop moderators can gather empirical data about the participants' awareness for data ethics, the organization's operational capacities and their data practices.

Publications Schäfer, M.T.; Van Es, K.; Lauriault, T.P. (2024) Collaborative Research in the Datafied Society. Methods and Practices for Investigation and Intervention. Amsterdam: Amsterdam University Press. ISBN 9789463727679 Schäfer, Mirko Tobias; Es, Karin (2017). The Datafied Society: Studying Culture through Data. Amsterdam University Press. doi:10.5117/9789048531011. ISBN 978-94-6298-717-3. Bastard Culture!: How User Participation Transforms Cultural Production. Amsterdam University Press. 2011-12-31. doi:10.1515/9789048513154. ISBN 978-90-485-1315-4. Schäfer, M.T.; Van den Boomen, M; Lehmann, AS; Lammes, S.; Raessens, J. (2009) Digital Material. Tracing New Media in Everyday Life and Technology. Amsterdam: Amsterdam University Press. ISBN 978-90-8964-068-0.

See also Critical theory Critical data studies Ethics of artificial intelligence Participatory culture Action Research

References

External links Official website Utrecht Data School

Illustrations

Mirko Tobias Schäfer illustration

Worked examples

Example 1 — a first encounter with Mirko Tobias Schäfer

Start with the simplest possible case. Write down what Mirko Tobias Schäfer claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mirko Tobias Schäfer before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mirko Tobias Schäfer ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mirko Tobias Schäfer

In research
Mirko Tobias Schäfer appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Mirko Tobias Schäfer in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Mirko Tobias Schäfer is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of Utrecht University, Artificial intelligence researchers, Digital media, so understanding it makes those chapters shorter.
In everyday life
Look for Mirko Tobias Schäfer outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Mirko Tobias Schäfer in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Mirko Tobias Schäfer means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Mirko Tobias Schäfer out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mirko Tobias Schäfer in simple terms?

Mirko Tobias Schäfer is a media scholar at Utrecht University. He is an Associate Professor of AI, Data & Society at the Department for Information & Computing Sciences and the Sciences Lead of the Data School.

Why does Mirko Tobias Schäfer matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mirko Tobias Schäfer?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mirko Tobias Schäfer.

Tags

  • Academic staff of Utrecht University
  • Artificial intelligence researchers
  • Digital media
  • Living people
  • Mass media theorists
  • University of Applied Arts Vienna
  • University of Vienna alumni

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