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Our story started investigating the role of negative feedback in regulating plant coexistence and biodiversity, but then we became expert in all sort of system dynamics models.

We develop mathematical models of biological and ecological systems at different scales and spatial representation and we perform multivariate data analysis to understand the mechanisms behind complexity.

Our models are process-based and modular in their structure. We use different modeling approaches (System Dynamics, Individual-Based) by various mathematical operators (ODE, PDE, logic functions), written in different languages and tools (system dynamic, Matlab, C + +). They can be also coupled with GIS tools, integrated into DSS, and connected with any sensor by IoT methodologies.

The models can drive the experimental work and optimize production processes.