We are thrilled to announce the inaugural Computational Psychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)
One of the key aims of computational neuroscience is to construct theoretical accounts of normal mental function that link characterizations of neurobiology, psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction. Since 2014, many CP courses and workshops have been successfully organized worldwide. The CP field is maturing, and to reflect this development, there is a clear need for a dedicated conference in which both trainees and faculty can present their work.
The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions. The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days. The tutorial session (afternoon of 6th July) will contain three introductory talks on psychiatry for non-clinicians, behavioural modelling using Bayesian inference and Reinforcement Learning, and machine learning.
Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with travel awards based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.
We look forward to seeing everyone in Dublin this summer!
Rick Adams (UCL)
Sonia Bishop (Trinity College Dublin)
Claire Gillan (Trinity College Dublin)
Xiaosi Gu (Icahn School of Medicine at Mount Sinai)
Tobias Hauser (UCL/Tubingen)
Quentin Huys (UCL)
Robb Rutledge (Yale University)