Intelligent Systems for the Study and Support of Youth Mental Health (CYTED)

Maria Paula Bonomini, ITBA (Argentina).

M.P.Bonomini

NT4SM CYTED Network

The Workshop on AI and Computational Approaches for Youth Mental Health aims to bring together researchers and practitioners working at the intersection of artificial intelligence, computational neuroscience, and mental health sciences to explore innovative technologies for understanding, monitoring, and supporting mental wellbeing in young populations. This workshop focuses on the development and application of computational models and intelligent systems that can contribute to early detection, prevention, and postvention of mental health challenges, including stress, anxiety, and suicidal behavior. Special attention will be given to approaches leveraging world models, embodied and conversational avatars, and affective computing to simulate, interpret, and interact with human emotional states. Topics of interest include, but are not limited to:

• Computational and neurocomputational models of emotion, stress, and resilience
• World models and generative architectures for mental state representation
• AI-driven detection and prediction of stress, burnout, and suicidal risk
• Avatars and virtual agents for prevention, postvention, and mental health support
• Multimodal sensing (physiological, behavioral, linguistic) for mental health monitoring
• Ethical, social, and psychological considerations in AI-based mental health interventions
• ML applications in psychology, psychiatry and neuroscience
• Computational psychiatry and precision mental health approaches for youth
• Interpretable/Xplainable Machine Learning (XAI) in Healthcare

The workshop aims to foster interdisciplinary dialogue between computer scientists, neuroscientists, clinicians, and psychologists to build a shared roadmap toward safe, ethical, and effective AI applications in youth mental health.