Data as Media (2024/2025: periode 2)

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Cursusdoel

At the end of the course students are able to:
  • identify and explain cultural data practices, based on the relevant academic concepts developed for approaches to datafication and mediatization;
  • develop an understanding of how a media and performance studies perspective can be productive for data studies;
  • conduct a situational data analysis of a cultural or societal phenomenon, exploring how data are produced, circulated and/or operationalized;
  • write a paper that is academically sound and according to academic conventions on the design and results of this analysis.

Vakinhoudelijk

Priority rules apply to this course. Make sure you register for this course before June 10, 13:00 noon to be considered for enrollment.
The following students are guaranteed a place:
  • BA Media en cultuur/Media and Culture;
  • BA TCS or LAS;
  • pre-master’s students.
Other students will be placed by means of random selection.

In our data-driven society data are often seen as empirical and therefore neutral or objective phenomena. However, data are constructions, always already constituted in wider assemblages. As such, datafication - the process of turning all aspects of our social and cultural world into data - poses ethical, cultural, and critical challenges that demand reflection.

This course approaches datafication as a process of mediatization and demonstrates the valuable contribution that media and performance studies can make to the field of data studies. Inspired by the idea of data as situated and principles from the ethics of care, it promotes a critical engagement with data that is also responsible, affective and material (cf Loukisass 2019). More concretely, it examines - through various cases linked to gender, performance, new media and film/television studies - how the media and performance studies perspective on data is productive to discussions about the role of data and algorithms in our culture and society. Students furthermore learn to conduct a situational data analysis, analyzing how data are produced, circulated and/or operationalized.

This is the second course in the specialization Critical Data studies. The aim of this advanced trajectory is to train students to analyze the assemblages that produce, circulate and utilize data in diverse ways. It teaches them to raise critical questions about how datafication shapes and interacts with society and culture.

Werkvormen

Hoorcollege

Werkcollege
Toelichting

Lectures and seminar meetings are designed to provide tools for the critical reading of texts, discussions of research questions and for analyzing data practices.

Bijdrage

Students are expected to prepare for all meetings by reading and completing assignments. This includes preparing collaborative assignments, participation in group discussions, and peer feedback on written work and presentations of other students during seminar meetings.

Voorbereiding

Students are required to read the assigned texts in advance and prepare questions and complete weekly assignments for both lectures and seminar meetings.

Toetsing

Paper

Verplicht | Weging 60% | Minimum cijfer 5,5 | ECTS 4,5

Presentatie

Verplicht | Weging 40% | ECTS 3

Ingangseisen en voorkennis

Ingangseisen

Er is geen informatie over verplichte ingangseisen bekend.

Voorkennis

This course presupposes basic knowledge of theories of (new)media. Moreover you are expected to be acquainted with either the Chicago or MLA system of referencing and annotating literature; to be able to search and select sources/literature in the university library and in online databases; to be able to read and process academic texts; to formulate valid research questions and to be able to write a coherent and well-structured paper.

Voorkennis kan worden opgedaan met

This knowledge and these skills can be acquired and trained in the courses in basispakket 1 & 2 BA Media & Culture of basispakket 1 & 2 BA CIW.

Voertalen

  • Engels

Cursusmomenten

Gerelateerde studies

Thema's

  • Digitalisation
    • - Algoritmes
    • - Big data
    • - Bias en discriminatie
    • - Platformisering

Tentamens

Er is geen tentamenrooster beschikbaar voor deze cursus

Verplicht materiaal

  • BOEK
    Yanni Alexander Loukissas. All Data Are Local: Thinking Critically in a Data-Driven Society (2019). MIT Press.
    All Data Are Local: Thinking Critically in a Data-Driven Society (2019) Yanni Alexander Loukissas MIT Press

Aanbevolen materiaal

Er is geen informatie over de aanbevolen literatuur bekend

Coördinator

G.A. van Schie MA G.A.vanSchie@uu.nl

Docenten

G.A. van Schie MA G.A.vanSchie@uu.nl
dr. F.L. Ferrari f.l.ferrari@uu.nl
dr. J. van Gorp j.vangorp@uu.nl
dr. M.L. de Lange M.L.deLange@uu.nl

Inschrijving

Deze cursus is open voor bijvakkers. Controleer wel of er aanvullende ingangseisen gelden.

Inschrijving
Van maandag 3 juni 2024 tot en met vrijdag 21 juni 2024

Na-inschrijving
Van maandag 21 oktober 2024 tot en met dinsdag 22 oktober 2024

Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien