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Mental health phenomena are increasingly being studied using digital trace data from social media and computational methods (Schindler & Domahidi, 2022, Parry, 2022). This approach can address the challenges of previous studies (e.g., inadequacies in subjective memories), but raises new ethical, conceptual, and methodological issues that are critical to the field, and external limitations remain, such as the persistent barriers of APIs to research.
The interdisciplinary workshop «Advancing interdisciplinary perspectives on computational mental health research» aims systematically explore the topic and involve experts from various fields. Based on previous research and current advances on the topic, we will discuss how computational elements have influenced mental health research, will identify scientific gaps, and suggest promising directions for future studies. Thus, the focus of the workshop is to define pressing questions for future studies, to create networking opportunities for interested scholars and to explore possibilities for further collaborations. Possible outcomes might be a white paper, to summarize the results, joint collaborations in form of a special issue, or grant ideas to continue our interdisciplinary work on this topic.
When / Wann: November 10, 2023, 9:00 - 12:30
Where / Wo: Digital Society Initiative, Rämistrasse 69, Zurich
Registration / Anmeldung: Link
More info / Weitere Infos: Link
Language / Sprache: English
Organisation: Prof. Dr. Emese Domahidi (DSI Fellow) & DSI Community Communication