Please observe:

This course will be ON-LINE
Final approval of your participation will be emailed from the course organizers before the course commences on 19 April 2021

Program

April 19. 
Questioning responsibly: formulating research questions for practice studies
o Prof. Irina Shklovski, University of Copenhagen, DK

o Prof. Naja Holten Møller, University of Copenhagen, DK

April 20. 
Data-driven ethnography as a method for research and design
o Prof. Gina Neff; University of Oxford, UK 
o Prof. Thomas Hildebrandt, University of Copenhagen, DK 

April 21. 
Social innovation and legal society – justice for whom?

o Prof. Vasilis Vlachokyriakos, Open Lab, UK and Greece
o Prof. Henrik Palmer Olsen, University of Copenhagen, DK 

April 22. 
Public concerns and participatory methods for civic data systems
o Prof. Chris Le Dantec; Georgia Tech, USA
o Prof. Finn Kensing, University of Copenhagen, DK

The goal of the course is that participants get a concrete and practical experience in thinking through the methodological foundations for design & research and gain an overview of the longer debates in research that draws on ethical, participatory and grounded methods – as well as new turns in our methodological approaches.
This course explores the methodological foundations for researching & designing data-driven technologies responsibly. 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). 
Vlachokyriakos proposes social innovation as an analytical lens for broadening the understanding of a design space as both the social and the technological innovation that are important to bring closer together for a socially just approach. The course is set up to facilitate a cross-disciplinary discussion through the participation of experts of Law, Design, Sociology, and Computer Science with a special interest in responsible approaches to research and design of data-driven technologies.

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

o Prof. Irina Shklovski, University of Copenhagen

o Prof. Gina Neff; University of Oxford

o Prof. Thomas Hildebrandt, University of Copenhagen

o Prof.Vasilis Vlachokyriakos, Open Lab, Newcastle University and Open Lab: Athens.

o Prof. Henrik Palmer Olsen, University of Copenhagen

o Prof. Chris Le Dantec; Georgia Tech

o Prof. Finn Kensing, University of Copenhagen

Organizers: Naja Holten Møller, Asbjørn Ammitzbøll Flügge, Trine Rask Nielsen, Cathrine Seidelin

Course Preparation   50.00 hours

Essay incl. hand in
before the course     10.00 hours

Peer-feedback          6.00 hours

Lectures                  24.00 hours

Project work            10.00 hours

________________________________________

Sum    100.00 hours

________________________________________