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21. Final remarks

Risk-benefit assessment is inherently complex. This complexity is not introduced by the approaches used in the Qalibra framework, it is an inevitable consequence of the multidimensional nature of dietary change, of its effects on health, and of major limitations in the amount, quality and relevance of available data.

As already stated, risk-benefit assessment requires a high level of expertise in the relevant fields of science, and quantitative risk-benefit assessment additionally requires significant expertise in modelling and statistics. It requires substantial data or assumptions, is affected by many uncertainties, and the results require very careful interpretation and communication.

In this context it is hoped that the Qalibra framework and software will help by providing a common conceptual framework, assist users to identify important issues and data gaps, and provide a user-friendly software environment within which users can start with a simple deterministic assessment and progressively refine it by treating key elements probabilistically (when needed). The software also helps the user to organise the large number of datasets and model runs that may be needed, and to share them with colleagues of their choosing.