All those who make risk-related decisions require sound knowledge
on which to base their decisions, wherever possible including the
best scientific knowledge available. Often, they are confronted by
the need to make decisions in which they must allocate resources to
one or more of several different problems, and are required to do
so in the absence of any objective means of comparing the risks or
the impact of their decisions. CRA offers a possible way of
providing a scientific basis for such decisions.
This valuable contribution to the debate about CRA and its place
in the total risk governance process provides a catalog of
suggested solutions for different categories of issues, offering a
balanced overview backed by methodological examples. It considers
CRA in the USA, Europe and Germany, using case studies to analyze
and exemplify the decision-making processes and challenges
involved.
Following an introductory section, the authors go on to look at
the concepts and definitions of risk, as well as the practical
implementation of CRA. Along the way, they consider the empirical
foundations of CRA and a conceptual framework for an integrated
comparative risk evaluation. They also study the practical lessons
learned from the case studies, together with an in-depth discussion
of the underlying scientific hypotheses. The whole is rounded off
with appendices covering risk metrics, MCRA, a comparative
evaluation of unclear risks and the risks of hazardous
incidents.
Sound scientific knowledge for everyone who makes decisions,
whether government ministers, regulators, or company directors.
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