Our Mission

Therefore, the multi-model.nl project aims to develop a generic open-data platform that allows existing models to work together and transparently share data using a shared language to generate integrated insights for decision-making about socio-technical systems.  It does so by tackling three challenges;

1. Scaling

Complex socio-technical systems are multi-scalar, as their elements have properties and processes that change quantitatively and qualitatively with scale. These scales may be spatial, temporal, administrative (e.g., institutional) or object-related.

2. Uncertainty Analysis

Complex systems models often incorporate high levels of uncertainty (relative to engineering models of physical systems). This is because the models often use non-linear simulation methods and allow for contingencies. While this flexibility may reflect increased realism, it results in high levels of uncertainty in the generated outputs.

3. Interoperability

Multi-models often consist of sub-models with different modelling methods and experimental frames, giving rise to interoperability concerns. The operational principles that distinguish these modelling methods relate to the mathematical compatibility of the model components and must be treated accordingly.