11th Joint International Conference on Information Sciences

Maximum Possible Risk Modeling

Authors
M. Schütz 0, M. Cohen, T. Whalen, T. Taylor
Corresponding Author
M. Schütz
0Spiez Laboratory
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.15How to use a DOI?
Keywords
Possibility, Risk, Counterfactual Conditionals, Counterfactual Assumptions, Biosafety
Abstract
Counterfactual assumptions enable a maximum possible risk analysis of the possibility of an aerosol release of pathogens such as anthrax spores from a biological research laboratory. Eight counter-factual assumptions in conjunction ensure that any actual laboratory accident would pose a risk of exposure smaller than the hypothetical exposure risk generated by the model. The final counter-factual assumption sets an unrealistically low threshold of risk. The inflated risk is still less than the deflated risk threshold, so it is possible to conclude the laboratory is safe without attempting to measure its actual risk or specify an actual threshold of acceptable risk.
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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - M. Schütz
AU  - M. Cohen
AU  - T. Whalen
AU  - T. Taylor
PY  - 2008/12
DA  - 2008/12
TI  - Maximum Possible Risk Modeling
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.15
DO  - https://doi.org/10.2991/jcis.2008.15
ID  - Schütz2008/12
ER  -