System Theory

• Understanding abstractions and limits of systems
• Emphasis on model scalability, balance between linearity and nonlinearity
• Tools for capturing essence of dynamic feedback phenomena

Multivariate Statistics

• Determining models for observation data in a consistent way
• Mastering high-dimensional phenomena, finding latent structures
• Key to reach semantics and control the emergent order

New Languages

• New concepts are needed to capture complex phenomena
• New formalisms are needed to functionalize them
• On the other hand, algorithms can be expressed and analyzed as dynamic systems

Next: Research Blooms