Maximum Possible Risk Modeling
M. Schütz 0, M. Cohen, T. Whalen, T. Taylor
Available Online December 2008.
- https://doi.org/10.2991/jcis.2008.15How to use a DOI?
- Possibility, Risk, Counterfactual Conditionals, Counterfactual Assumptions, Biosafety
- 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.
- 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 -