Track chairs
Annemarie Jutte (Saxion)
Peter ten Klooster (UT)
Anna Machens (UT)
Track committee
Youri Derks (GGNet)
Track description
Digital phenotyping is a quickly developing field at the intersection of information and communication technology, behavior and health sciences, and data science. It refers to the real-time quantification of an individual's behavioral and psychological patterns through passive data sensing via smartphones, wearable devices, and other digital platforms. By analyzing digital traces such as app usage, typing patterns and physical activity, digital phenotyping offers quantifiable ways to track mental health, chronic conditions, and lifestyle factors. While digital phenotyping holds tremendous promise, the field also faces technological, ethical and analytical challenges that require multidisciplinary collaborations and solutions.
The track aims to connect people from industry and academia with various backgrounds interested in further exploring or advancing this exciting field. We welcome demos, posters and oral presentations on relevant digital phenotyping developments in industry and academia. Topics of interest include, but are not limited to, recent research ideas or findings, hard- and software developments, data analytics and artificial intelligence, and specific examples of successful or unsuccessful applications in the healthcare field.
