Papers are invited presenting new and innovative modelling, data science and decision support methods to address the challenges of modelling in the mental health sector, including but not limited to: policy, planning and research applications; model testing; validation and calibration methods; data collection, availability, and suitability for modelling; uncertainty; data visualisation methods, knowledge development and capacity building for modellers and decision makers.
Key topics: Data science, Mental health modelling and simulation, Model testing, Health data visualisation