Machine learning, computational models, and IT security
Computational models of cognitive-emotional processes relevant for mental health and AI for data science from large, deeply phenotyped longitudinal cohorts (including replication samples) help to uncover novel disorder identities, predict trajectories, and ultimately develop personalised therapies. Therefore, our approach will be two-fold, with data driven approaches on one hand (machine learning, big data, and data science), being complemented with theory-driven (computational modelling) and experimental approaches on the other hand. Resulting eHealth decision tools support the clinician to choose between interventions based on type, stage, and other factors.
Our consortium can contribute specifically to a DZP with the Hessian Center for Artificial Intelligence:
AI technology and machine learning. The federal state of Hessen is investing 38 Mio. EUR to implement a Hessian Center for Artificial Intelligence (2021-2026). 20 new professorships, located at the CMC universities collaborate with established structures. Having emerged as one of the top European centres in this field, TU Darmstadt has the leading role in this AI centre.
Integration of data science and innovations in Big Data Programming.
Latest developments in the field of Cyber security, Data and IT security, a field of internationally leading expertise at TU Darmstadt. This is crucial for the protection of personally sensitive data, development of robust data platforms, and the processing and storage of biometric data compliant to data protection guidelines.