×F1. Network modelling for complicated problems: Dealing with uncertainty in network modelling for decision support

Network modelling is increasingly used to describe and predict an environmental system's functioning as a basis for evidence-based decision-making. For these models to be useful in applied fields like environmental management or eco-health, acknowledging system uncertainties – their magnitude, sources, and structure – is crucial.

New methods have been developed to allow decisions to proceed in the face of this uncertainty, which until recently have been under-used in ecological modelling, environmental management or eco-health applications. This session will convene researchers and practitioners from multiple disciplines who are interested in developing and implementing new approaches to network modelling that focus on decisions, and which place uncertainty in the foreground.

We invite talks about environmental, ecological or One-Health (human, environmental and animal health) applications using network models, that consider qualitative or quantitative uncertainty. These could include terrestrial ecosystems, social network analysis, socio-ecological networks, trade networks, or food webs. We also welcome presentations on network model methods (e.g., Bayesian belief networks, artificial neural networks), spatial and dynamic environmental models (e.g., climate change models, land use models) and optimization problems in environmental management (e.g., ecosystem services, fisheries).

Key topics: Network models, Uncertainty analysis, Decision making, Model predictions