Issue |
Radioprotection
Volume 55, May 2020
Coping with uncertainties for improved modelling and decision making in nuclear emergencies. Key results of the CONFIDENCE European research project
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|
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Page(s) | S39 - S43 | |
Section | COPING WITH UNCERTAINTIES FOR IMPROVED MODELLING AND DECISION MAKING IN NUCLEAR EMERGENCIES | |
DOI | https://doi.org/10.1051/radiopro/2020010 | |
Published online | 07 April 2020 |
Article
Confidence: achievements and way forward
1
KIT – Karlsruhe Institute of Technology,
Eggenstein-Leopoldshafen, Germany
2
CEH – UK Centre for Ecology & Hydrology,
Lancaster, United Kingdom
3
VUJE – VUJE, a.s.,
Trnava, Slovak Republic
4
IRSN – Institute for Radioprotection and Nuclear Safety,
Fontenay-aux-Roses, France
5
CIEMAT – Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas,
Madrid, Spain
6
SCK-CEN − Belgian Nuclear Research Centre,
Mol, Belgium
7
HMGU – Helmholtz Zentrum München–German Research Center for Environmental Health,
Neuherberg, Germany
* Corresponding author: wolfgang.raskob@kit.edu
Accepted: 17 March 2020
The project CONFIDENCE (COping with uNcertainties For Improved modelling and DEcision making in Nuclear emergenCiEs) final dissemination event attracted 88 participants to review and discuss the project results and provide ideas for future research work. The workshop highlighted progress in understanding uncertainties in all phases of an emergency. It was also demonstrated that consideration of uncertainties are important when developing countermeasure strategies. Stakeholder engagement as well as societal and ethical aspects in decision making have to be considered. Formal decision making tools were improved and tested. In addition, CONFIDENCE participants, representatives of international organisations and end users, provided their ideas on research needs and the way forward.
Key words: emergency management / uncertainties / research needs / CONFIDENCE
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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