MINDFUL

MINDFUL is a research interest group reuniting researchers from different fields and Universities to exchange knowledge on computational methods for mental health and well-being.

Particularly, the topics of interest to the research group are:

• Computational models and statistical methods for early detection of mental health issues.
• Computational tools for continuous and longitudinal monitoring.
• Computational models for personalized and adaptive interventions.
• Computational models and statistical approaches for disease risk stratification and prognosis.
• Computational models for multimodal data analysis.
• Computational models for emotion recognition and affective computing.
• Digital phenotyping for mental health and well-being.
• Explainable and interpretable computational models for mental health applications.
• Bias, fairness, and equity in AI and statistical modeling for mental health and well-being.
• Privacy-preserving and secure AI methods for sensitive mental health data.
• Ethical, legal, and societal implications of computational mental health technologies.
• Integration and validation of computational methods in real-world clinical settings.