WP1: Spatial structure and responsiveness (How do spatial mobility networks change as a result of an epidemic response, how do they depend on scale and how do they influence the pandemic?)

WP2: High-resolution data. Social contacts and clinical data (How do microscale contact networks and clinical outcomes jointly influence disease dynamics under different social behaviors and interventions?)

WP3: Causal inference (What causal relationships exist between disease dynamics, information, behavior and containment measures, and how can these be quantified?)

WP4: Systems Modeling (How to design, implement and deploy optimal model architectures for predicting disease dynamics that capture underlying structured, reactive and multi-scale networks).

WP5: Variant dynamics (What general principles define the evolution of viral phenotypes when the virus evolves in multiscale, network-structured host populations, and how does this influence disease dynamics?)

WP6: Predictive multiscale modelling (combination of WP1-5 to develop a rapidly deployable, scalable and reparametrizable framework for modelling severe respiratory diseases in Germany).