Now consider how these scenarios might play out given the rest of the calendar.
We are now working to understand how these scenarios affect key socio-ecological variables.
Based on exit polls from Election Day, we have a decent idea of how these scenarios would play out.
It is shown how these scenarios may be represented in a generic risk assessment model using Bayesian Probabilistic Networks (BPNs).
Below, Anne Lise Kjaer explains how these scenarios were created.
Dalio provided the example of merger arbitrage to explain just how these scenarios play out.
The goal, she says, "is to understand how these scenarios play out on the landscape and in other ways".
The approach taken to address future emissions is, starting from the baseline described above, to assess relevant scenarios (e.g. concerning economy, demography, industry, consumption, energy, agriculture, hydrology) and analyse how these scenarios may affect use and emissions of chemicals.
Approaches of this type can be used to understand the behavior of a catchment under different scenarios (such as land use change and climate change) and how these scenarios are likely to affect the hydrological processes and future water availability.
The model presented in this study does not provide sufficient evidence for the alternative scenarios, but provides a first estimate of how these scenarios would compare to usual practice.
