Week 1 — Orientation
- Date: 20260303 Tue 18:00~20:30
- Lecturer: Changjun Lee (SKKU)
- Content
- Course overview
- SKKU–Kunstuni collaboration structure
- Formation of initial interest groups

week1_orientation_data_unfolded_20260303033949.pdf
Phase I: Theory & Case Studies
Week 2 — Critical Data Studies and Art

W2_CriticalData_lecture_SKKU.pdf
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Date: 20260310 Tue 18:00~20:30
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Lecturer: Manuela Naveau (Kunstuni Linz)
W2_Intro_for_Manuela.docx
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Lecture (45min)
- What is “Critical Data” within artistic context?
- Status quo & background: Critical Data studies, Feminist AI, …
- How is data and data processing systems used in artistic practices?
- Case studies from Interface Cultures - How does an artist understand critical data?
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Mind-map challenge: Questioning data (45mins)
A private Miro board
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Literature suggestions
- Data Feminism (Catherine D'Ignazio & Lauren F. Klein): MIT Press
- What Does A Critical Data Studies Look Like, And Why Do We Care? (Craig Dalton & Jim Thatcher): Society and Space
- Towards critical data studies (Rob Kitchin & Tracey P. Lauriault)
- Six Provocations for Big Data (danah boyd & Kate Crawford)
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Case Studies