Objectives

There are two main learning outcomes: 1) students will be able to understand data justice as a visible, tangible and actionable concept; 2) students will be able to think and act critically in relation to it. The learning outcomes are further divided as follows:

Subject-specific knowledge:

At the end of the course, the students should be able to:
- understand how data has concrete effects in everyday lives and spaces;
- discuss concepts such as data justice, data harms or everyday datafication in an interdisciplinary context, encompassing legal and digital geographical sciences as well as critical data studies;
- critically recognize power structures and discriminatory practices in the way in which everyday datafication occurs.

Subject-specific skills:

At the end of the course, the students should be able to:
- progress in their critical thinking, in that they are able to identify how datafication is materialized in everyday lives and spaces;
- identify in what ways datafication can lead to discrimination and (in)justice;
- apply design methods to recognise and resist data harms.

Working life skills:

At the end of the course, the students should be able to:
- work in collaboration with others;
- perform presentations in English;
- self-reflect on their work and ideas;
- improve their writing skills;
- think creatively and ‘out of the box’ (or as if there is no box).

  • Opettaja
    Miriam Tedeschi, Naz Karatas