PhD Course: Confronting Data through Design Methods – Speculating with Generative AI (GAI)

About the Course

This 3-day, 3 ECTS course is aimed at PhD students researching within the fields of Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Science- and Technology Studies (STS), Participatory Design (PD) & Critical Data Studies, but the course is open to PhD students from all areas of work- and design studies. The course is given as a mix of hands-on exercises with GenAI tools and lectures and seminars on speculative design and critical responses to GenAI interwoven throughout. In addition, the students will engage in peer-feedback as part of the development of their essays, which focus on applying GenAI in relation to their own PhD project.

The overall aim of the course is to explore how we can use design methods to probe, construct, question, and critique different types of data. The goal of the course is that participants are introduced to both theoretical, concrete, and practical knowledge about different modes of doing research through design as well as gaining an overview of current debates regarding how data-driven technologies can be made ethical and responsible.

Associate Professor Naja Holten Møller, naja@di.ku.dk, is the main course instructor.

This course is supported by DIREC, ITU, UCPH and the Pioneer Centre for AI.

 

Link to more course info can be found here.

Seats are limited. Sign up deadline is 10 May 2024.