Areas of activity:

The working group Computational Ecotoxicology focuses on complexity in structures and processes of hierarchical dynamical bio-systems. We develop statistical, machine learning and AI-based algorithms and methods for multivariate modeling, pattern recognition, causal analysis and prediction in life-science disciplines like ecology, ecotoxicology and biomedical research. To link available lines of evidence (i.e. theory, simulation and observation) techniques from statistical pattern recognition, machine learning, data mining and bioinformatics as well as approaches from complex systems theory and chaos theory are used in a wide field of applications. More detailed attention is payed to non-linear dynamics, self-organization processes, the role of information and entropy, the integration of expert knowledge into modelling processes as well as epistemological consequences.

For more detailed information please see the working group's homepage:

https://cope.rwth-aachen.de