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Problem formulation and hypothesis testing for environmental risk assessments of geneticallymodified crops

Published online by Cambridge University Press:  17 March 2007

Alan Raybould
Alan Raybould*
Affiliation:
Syngenta, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK
*
alan.raybould@syngenta.com

Abstract

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Environmental risk assessments can provide high confidence of minimal risk by testing theories, “risk hypotheses”, that predict the likelihood of unacceptable harmful events. The creation of risk hypotheses and a plan to test them is called problem formulation. Effective problem formulation seeks to maximize the possibility of detecting effects that indicate potential risk; if such effects are not detected, minimal risk is indicated with high confidence. Two important implications are that artificial test conditions can increase confidence, whereas prescriptive data requirements can reduce confidence (increase uncertainty) if they constrain problem formulation. Poor problem formulation can increase environmental risk because it leads to the collection of superfluous data that may delay or prevent the introduction of environmentally beneficial products.

Keywords

risk assessmentproblem formulationscientific methodcertaintydata requirements
Type
Research Article
Information
Environmental Biosafety Research , Volume 5 , Issue 3 , July 2006 , pp. 119 - 125
Copyright
© ISBR, EDP Sciences, 2007

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