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Confronting Data through Design Methods
Provider: Department of Computer Science

Activity no.: 5186-23-02-29 
Enrollment deadline: 24/01/2023
PlaceDepartment of Computer Science
Universitetsparken 1, 2100 København Ø
Date and time07.02.2023, at: 09:00 - 09.02.2023, at: 16:00
Regular seats25
ECTS credits3.00
Contact personNaja L. Holten Møller    E-mail address: naja@di.ku.dk
Enrolment Handling/Course OrganiserNaja L. Holten Møller    E-mail address: naja@di.ku.dk
Written languageEnglish
Teaching languageEnglish
Semester/BlockBlock 3
Exam requirementsSee remarks
Exam formWritten assignment
Grading scalePassed / Not passed

Content
This course explores different modes of inquiry with data applying design methods. The participants will practice design methods such as speculation with data. Through probing alternative future(s), we seek to outline the possibilities and consequences of datafied society. The focus will be on the implications for researchers working in the fields of Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Participatory Design (PD) & Critical Data Studies, but the course is open to Ph.D students from all areas of work- and design studies. Debates in this area of research are revolving around how research can shape and contribute to the necessary democratic debate on, for example, the usage of public data and databases. As argued by Overgaard in her investigation of synergies between technology and contemporary art, new ideas, experiments and inventions can be achieved through engaging with data and data-driven technologies as a curatorial practice. Auger raises questions to datafied society through speculative design: a practice that allow the researcher to extend the potential of emerging usages of data and data-driven technology, in order to produce hypotheses of the imaginaries that they bear – and what could be the alternative ones.

Learning outcome
The course accommodates an interdisciplinary perspective; thus, we will work from your own examples and cases to achieve an understanding across the course days of what are the practical ways one can apply speculative design in our respective research areas – and the challenges and opportunities that emerge as disciplines are brought together in the context of research and design. The participants gain knowledge of speculative design as an method, how to apply speculative design in practice, and the criteria for evaluating research within this field.

Literature
The relevant literature will be sent to the participants before the starting date.

Lecturers
Organizers: Ass. Prof. Naja L. Holten Møller and Ph.D. fellow Trine Rask Nielsen & Kristin Kaltenhäuser

Majken Overgaard has been heading Catch - Center for Art, Technology and Design in Denmark known for its curatorial focus on the possibilities of imagining new technological futures as activism. She is External Lecturer at the ITU University and the co-founder of Korridor - a new digital art collective – investigating emerging culture and art online right now (blockchains, web3 and NFT etc.).

James Auger is the director of the design department at ENS Paris Saclay and co-director of the Centre de Recherche en Design (ENS & ENSCI). He is also an Associate Professor at RMIT (Europe). His work explores ways through which practice-based design research can lead to more considered and democratic technological futures.

Naja Holten Møller is Associate Professor at the Department of Computer Science, University of Copenhagen. She is the founder of the Confronting Data Co-lab, a co-operation of scholars working and acting together in support of the stakeholders we encounter and engage with in our research, focusing on critical public technologies.

Tariq Osman Andersen is associate professor of Health Informatics at the Department of Computer Science, University of Copenhagen. His early work explores the intersection of STS, ethnography and participatory design. Tariq has been the main driver of establishing and mainting a Living Lab with more than 300 pacemaker patients leading to a spinout company in digital health (Vital Beats). His current research is about prototyping machine learning based digital health tools.

Remarks
How to prepare for the course:

In order to prepare for the course, you need to:

(1) Read the literature from the reading list prior to the course (the course curriculum will be distributed after enrollment in the course).

(2) Submit your essays BEFORE February 3 2023 (2-4 pages) reflecting on the question: “How might combining methods from speculative design and HCI/ CSCW help you think about your data in new ways? Please submit to trn@di.ku.dk

The readings and the essays are a way to reflect upon the topics prior to the course. The essays will also help us to identify your interests/considerations prior to the course. Furthermore, this preparatory work aims to support your active participation throughout the course. Here is a helpful resource for writing essays: https://writingcenter.fas.harvard.edu/pages/strategies-essay-writing


Exam:
Submit the mandatory evaluations of the course together with the final essay no later than February 20 2023 to trn@di.ku.dk


Venue:
The course will be held at Department of Computer Science.


Workload:
Course Preparation 40 hours
Essay incl. hand in before the course 10 hours
Peer-feedback 6 hours
Lectures 18 hours
Project work 6 hours

In total 80 hours



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