David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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The new field of quantitative health risk assessment owes its emergence much more to the 'market pull' of demand from societal decision-making processes than to dramatic advances in our ability to make the desired predictions. This paper discusses problems and opportunities in the current practice of quantitative risk estimation under three broad headings: Basic (Technical) Assessment Methodology, and Methods for Assessing Uncertainty; Conception of the Problem for Analysis, and Ways of Expressing Results; and Defining Appropriate Roles for Expert Analysts in Social Decision Processes. Finally, borrowing from work of McMullin, the paper offers some criteria for judging risk assessment theories other than the generally unavailable 'goodness-of-fit' procedures.
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