Data Science

This subproject focuses on developing models exploiting the full potential of the diverse data collected. It will experiment with novel embedding approaches used in combination with (interpretable) machine learning. By applying machine-learning techniques, the team of Prof. Dr. Katharina Schultebraucks is seeking to robustly identify suicide risk factors and use this information to inform existing treatment measures.