Description

This grant funds large-scale, multidisciplinary research projects that harness existing longitudinal data to advance early identification and intervention for anxiety, depression, and/or psychosis. Projects must focus on predicting onset, early progression, or treatment response at the individual or subgroup level, validate prediction models in independent datasets, and integrate experimental components to deepen mechanistic understanding or intervention potential. Proposals should use robust, ethical data analytics, involve both mental health researchers and data scientists, and meaningfully incorporate lived experience expertise. The research must demonstrate strong translational potential for real-world impact, consider ethical, social, and cultural implications, and foster equitable, inclusive, and engaged research environments.