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The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment

Authors :
Benford, Diane
Halldorsson, Thorhallur
Jeger, Michael John
Knutsen, Helle Katrine
More, Simon
Naegeli, Hanspeter
Noteborn, Hubert
Ockleford, Colin
Ricci, Antonia
Rychen, Guido
Schlatter, Josef R
Silano, Vittorio
Solecki, Roland
Turck, Dominique
Younes, Maged
Craig, Peter
Hart, Andrew
Von Goetz, Natalie
Koutsoumanis, Kostas
Mortensen, Alicja
Ossendorp, Bernadette
Germini, Andrea
Martino, Laura
Merten, Caroline
Mosbach-Schulz, Olaf
Smith, Anthony
Hardy, Anthony
Benford, Diane
Halldorsson, Thorhallur
Jeger, Michael John
Knutsen, Helle Katrine
More, Simon
Naegeli, Hanspeter
Noteborn, Hubert
Ockleford, Colin
Ricci, Antonia
Rychen, Guido
Schlatter, Josef R
Silano, Vittorio
Solecki, Roland
Turck, Dominique
Younes, Maged
Craig, Peter
Hart, Andrew
Von Goetz, Natalie
Koutsoumanis, Kostas
Mortensen, Alicja
Ossendorp, Bernadette
Germini, Andrea
Martino, Laura
Merten, Caroline
Mosbach-Schulz, Olaf
Smith, Anthony
Hardy, Anthony
Publication Year :
2018

Abstract

To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the assessment conclusion. This applies to all EFSA's areas, all types of scientific assessment and all types of uncertainty affecting assessment. This current Opinion describes the principles and methods supporting a concise Guidance Document on Uncertainty in EFSA's Scientific Assessment, published separately. These documents do not prescribe specific methods for uncertainty analysis but rather provide a flexible framework within which different methods may be selected, according to the needs of each assessment. Assessors should systematically identify sources of uncertainty, checking each part of their assessment to minimise the risk of overlooking important uncertainties. Uncertainty may be expressed qualitatively or quantitatively. It is neither necessary nor possible to quantify separately every source of uncertainty affecting an assessment. However, assessors should express in quantitative terms the combined effect of as many as possible of identified sources of uncertainty. The guidance describes practical approaches. Uncertainty analysis should be conducted in a flexible, iterative manner, starting at a level appropriate to the assessment and refining the analysis as far as is needed or possible within the time available. The methods and results of the uncertainty analysis should be reported fully and transparently. Every EFSA Panel and Unit applied the draft Guidance to at least one assessment in their work area during a trial period of one year. Experience gained in this period resulted in improved guidance. The Scientific Committee considers that uncertainty analysis will be unconditional for EFSA Panels and staff and must be embedded into scientific assessment in all areas of EFSA's work.

Details

Database :
OAIster
Notes :
Benford, Diane and Halldorsson, Thorhallur and Jeger, Michael John and Knutsen, Helle Katrine and More, Simon and Naegeli, Hanspeter and Noteborn, Hubert and Ockleford, Colin and Ricci, Antonia and Rychen, Guido and Schlatter, Josef R and Silano, Vittorio and Solecki, Roland and Turck, Dominique and Younes, Maged and Craig, Peter and Hart, Andrew and Von Goetz, Natalie and Koutsoumanis, Kostas and Mortensen, Alicja and Ossendorp, Bernadette and Germini, Andrea and Martino, Laura and Merten, Caroline and Mosbach-Schulz, Olaf and Smith, Anthony and Hardy, Anthony (2018) The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 16 (1). ISSN 1831-4732
Publication Type :
Electronic Resource
Accession number :
edsoai.on1099176869
Document Type :
Electronic Resource