851-0685-00L Making Data, Making Worlds: An Introduction to Data Practices
Semester | Autumn Semester 2023 |
Lecturers | M. Leese |
Periodicity | yearly recurring course |
Language of instruction | English |
Abstract | Data are not neutral representations of external realities, but they are made by humans and imbued with interests, norms, and tacit assumptions. The aim of this course is to establish an understanding of how data matter in our construction and understanding of the world, and to draw attention to practices of their production, management, and regulation. |
Learning objective | At the end of the term, students will be able to: • reflect concepts and theories that capture the performativity of data • reflect concepts and theories that capture the socio-technical nature of data • assess the implications of data practices for social and political ordering • identify key actors, sites, and domain contexts of data practices |
Content | Week 1 Introduction: Making data, making worlds Week 2 How data matter I: Statecraft Week 3 How data matter II: Medicine Week 4 How data matter III: Artificial intelligence Week 5 Making data I: How to measure the world? Week 6 Making data II: Documentation Week 7 Data governance I: Privacy and Data protection Week 8 Data governance II: The right to be forgotten Week 9 Data governance III: Purpose limitation Week 10 Taking care of data I: Data quality Week 11 Taking care of data II: Fixing data Week 12 Taking care of data III: Preserving data Week 13 Exam |