Uncertainty Matters: Computer Models at the Science–Policy Interface

@article{Brugnach2007UncertaintyMC,
  title={Uncertainty Matters: Computer Models at the Science–Policy Interface},
  author={M. Brugnach and Andrew Tagg and F. Keil and Willem J. de Lange},
  journal={Water Resources Management},
  year={2007},
  volume={21},
  pages={1075-1090}
}
The use of computer models offers a general and flexible framework that can help to deal with some of the complexities and difficulties associated with the development of water management plans as prescribed by the Water Framework Directive. However, despite the advantages modelling presents, the integration of information derived from models into policy is far away from being trivial or the norm. Part of the difficulties of this integration is rooted in the lack of confidence policy makers… 
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References

SHOWING 1-10 OF 15 REFERENCES
Approaches for performing uncertainty analysis in large-scale energy/economic policy models
A number of key policy insights have emerged from the application of large-scale economic/energy models, such as integrated assessment models for climate change. These insights have been particularly
Process level sensitivity analysis for complex ecological models
Conceptual Modeling for Adaptive Environmental Assessment and Management in the Barycz Valley, Lower Silesia, Poland
TLDR
Concept modeling is applied to increase communication, understanding and commitment in the project of seven NGOs “Sustainable Regional Development in the Odra Catchment” and establishes a broad basis for stakeholder-driven discussion that is articulated into goals, objectives, conceptual models, and indicators.
Techniques for estimating uncertainty in climate change scenarios and impact studies
Methodology for quantifying uncertainty in global climate change studies is reviewed. The focus is on recent developments in statistics, such as hierarchical modeling and Markov chain Monte Carlo
Developing principles of good practice in integrated environmental assessment
In integrated environmental assessment, unlike many other fields of quantitative social and environmental science, there is a keen awareness of the need for quality and assurance, and principles of
Towards the development of a decision support system for water resource management
...
...