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POSTPONED to AUTUMN 2020 Methodological Foundations for Design & Research of Responsible Data-Driven Technologies
Provider: Faculty of Science

Activity no.: 5179-20-02-31 
Enrollment deadline: 17/04/2020
PlaceDepartment of Computer Science
Universitetsparken 1, 2100 København Ø
Date and time04.05.2020, at: 00:00 - 07.05.2020, at: 16:00
Regular seats25
ECTS credits4.00
Contact personAnnette Lange    E-mail address: alange@di.ku.dk
Enrolment Handling/Course OrganiserNaja Holten Møller    E-mail address: naja@di.ku.dk
Content
This course explores the methodological foundations for research & design of responsible data-driven technologies. The focus will be on the implications of data, algorithms and automation in work and how we can set up our research to take a sensitive approach to technology development. 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. Current debates in these fields discuss if we can come closer to concretizing what makes the design of data-driven technologies ethical and responsible. Addressing 'users' perspective, we also need to pay attention to citizens that are eventually subjects for public service design with large-scale data. As pointed out by Le Dantec et al., in design practices, and in particular in relation to human values, tensions can manifest in problematic ways and we have to take a sensitive approach to inquiring about the values in the particular context through design (Le Dantec et al. 2009). Neff et al. call for a research practice that “critique” and “contribute” to gain a more nuanced understanding of technology design with large-scale data – without losing sight of human values (2018). The goal of the course is that participants get a concrete and practical experience with the methodological foundations for research & design of responsible data-driven technologies. They gain an overview of the longer debates in research that traditionally draws on ethical, participatory and grounded methods and consider new turns in our methodological approaches.

Literature
The relevant literature wil be sent to the prticipants befor the starting date.

Lecturers
Organizers: Ass. Prof. Naja L. Holten Møller and Ph.D. fellow Asbjørn Ammitzbøll Flügge

o Prof. Irina Shklovski, University of Copenhagen
o Prof. Gina Neff; University of Oxford
o Prof Thomas Hildebrandt, University of Copenhagen
o Prof. Ann Light, University of Malmø - (Tentative)
o Prof. Henrik Palmer Olsen, University of Copenhagen
o Prof. Chris Le Dantec; Georgia Tech
o Prof. Finn Kensing, University of Copenhagen

Workload

Course workload category
Hours

Course Preparation                               50.00
Essay incl. hand in before the course     10.00
Peer-feedback                                       6.00

Lectures                                              24.00
Project work                                        10.00
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Sum                                                  100.00
________________________________________

Content
Programme for the 5 course -days

May 4th Questioning responsibly: formulating research questions for practice studies
o Prof. Irina Shklovski, University of Copenhagen


May 5th Data-driven ethnography as a method for research and design
o Prof. Gina Neff; University of Oxford
o Prof Thomas Hildebrandt, University of Copenhagen

May 6th Legal perspectives on data and society as a care platform
o Prof. Ann Light, University of Malmø - (Tentative)
o Prof. Henrik Palmer Olsen, University of Copenhagen


May 7th Public concerns and participatory methods for civic data systems
o Prof. Chris Le Dantec; Georgia Tech
o Prof. Finn Kensing, University of Copenhagen

Remarks
Due to the cureent sutiation with the Corona Virus, this course is postponed until the Autumn of 2020.

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