Resources

Research and innovation in the application of Artificial Intelligence (AI), data science, intelligent systems, and adaptive technologies to support mental health, psychosocial rehabilitation, and human well-being. This research area focuses on the development, validation, and implementation of AI-driven solutions that enhance assessment, monitoring, prediction, decision-making, personalization, and intervention across diverse mental health and rehabilitation settings.

By integrating computational methods with clinical, behavioral, and psychosocial knowledge, research seeks to better understand individual needs, behaviors, experiences, and recovery trajectories. Particular emphasis is placed on the use of data-driven approaches to support personalized care, early identification of risks, adaptive interventions, and more efficient and responsive health services.

The area also explores the ethical, human-centered, and responsible use of AI in mental health, ensuring that technological innovation contributes to improved outcomes while respecting privacy, autonomy, transparency, and human dignity.

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The distinctive focus of this research area is the combination of data-driven intelligence with a person-centered approach, moving beyond population-level analytics to better understand the uniqueness of each individual. By leveraging data science, machine learning, behavioral analytics, and adaptive systems, research aims to develop technologies capable of supporting personalized pathways for mental health promotion, rehabilitation, recovery, and long-term well-being.