×H3. Data science and simulation modelling methods in the mental health sector

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