Karin Bogdanova

Karin Bogdanova is a PhD candidate in the Faculty of Industrial Design Engineering and a part of AI DeMoS Lab, which focuses on developing AI for meaningful democratic engagements.

Before moving to the field of design, she received training in anthropology and science and technology studies. 

Karin’s project within the lab concerns a newly proposed method of mental health diagnostics, prediction, and management called digital phenotyping. In her research, she proposes an alternative approach to the design of AI-based digital phenotyping that combines ethics and pragmatist aesthetics. In addition to new aesthetic theories, her work draws from critical HCI, medical anthropology and philosophy of psychiatry.

She is developing a felt informatics approach that aims to prioritise lived, socio-ecological, and sensory aspects of the experience and articulations of mental health while providing clinically relevant data to clinicians.