Abstract
The background for this special issue is the multidisciplinary workshop "Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry" which was held at Saarland University in April 2021. Though we had to switch to an online format due to the pandemic, the discussions at the event have been extremely inspiring. It brought together experts from diverse disciplines, like clinical psychiatry, neuroscience, computational modelling, philosophy of mind and cognition, and philosophy of science. Joining forces, researchers from these disciplines presented their ideas on the subject. In the aftermath of the workshop, the organizers issued an open call for contributions. After a rigorous review process five papers made it into the final issue, each making an original contribution to the field.
References
Crook, B. (2023). Understanding as a bottleneck for the data-driven approach to psychiatric science. Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9658
Dembic, S. (2023). Mental disorder: An ability-based view. Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9630
Kind, A. (2023). How does the psychiatrist know? Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9391
Leder, G., & Zawidzki, T. (2023). The skill of mental health: Towards a new theory of mental health and disorder. Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9684
Starke, G., Elger, B. S., & De Clercq, E. (2023). Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts. Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9435
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Copyright (c) 2023 Lena Kästner, Henrik Walter