A flexible way of representing genes, proteins, gene products and their relationships in order to analyze a given Biological phenomena.

CAs are discrete models consisting of an array of cells having a finite number of states whose values depends on the values of its neighbors.

Different tools which are being widely used in order to make sense of the massive amounts of network data that are becoming increasingly available.

Techniques closely related with computational statistics and mathematical optimization.

Interactions between the components of biological/ecological systems, and how these interactions give rise to the function and behavior of that system.

Models of social segregation, social networks, feelings, crisis phenomena are developed and analyzed, among other subjects.

The application of ideas and concepts from physics to problems in finance and economics.