are being used to collect real time in<strong>for</strong>mation together with manual inspection ofbridge systems. Despite the mandate of the National Bridge Inspection Standards byFHWA, many bridges receive insufficient inspection due to limitations of funding,equipments, manpower, and the reliability of current sensing technology. A bridge is asystem with many interdependent functional elements, and the purpose of inspectionis to discover evidences of deterioration of individual elements in a timely fashionand to evaluate the consequences. Assuming that the underlying condition of eachindividual element is not directly observable, we treat inspection as a detection processwith considerable uncertainties during the assessment process. Fault tree analysisis used to provide a link between the evolving deterioration conditions of each elementof the bridge and a specific failure mode‚Äîa process that requires accuracy andreliability of the sensing and inspection system, which can be quantified by identifyingtime-critical elements in minimum cut sets. A systemic approach is developed tointegrate multiple models <strong>for</strong> the ultimate purpose of developing risk managementstrategies <strong>for</strong> improving inspection and monitoring, and <strong>for</strong> an effective resource allocationprocess. The developed methodology is expected to help bridge owners toefficiently prioritize and plan <strong>for</strong> inspection, maintenance, and remediation activitiesto reduce the risk of bridge failure.M4-I.1 Guvenc U, Small MJ, Morgan MG; umitguvenc@gmail.comCarnegie Mellon UniversityALTERNATIVE METHODS FOR AGGREGATION OF EXPERT JUDG-MENTSUncertainty is a key feature of many important technical assessments involvinghealth and safety risks. This is particularly true <strong>for</strong> models of large-scale, complex,multidisciplinary systems with many unknown elements (e.g., models <strong>for</strong> climatechange). Experts’ judgments regarding key model and related risk parameters are notalways fully aligned with each other. While it may be argued that characterizing thevariation across experts is more important than determining a single “best estimate”,such estimates do have utility when considered in the proper context. For these applicationsdifferent methods have been proposed <strong>for</strong> aggregating expert judgments,typically involving linear weights. These methods use special measures to evaluatethe “quality” of experts and the “appropriateness” of the way their opinions areexpressed, and as a result, the weighting schemes applied to expert judgments differdepending on the aggregation method used. All aggregation methods have advantagesand disadvantages under different circumstances. This paper uses simulation tocompare three popular approaches <strong>for</strong> expert judgment aggregation: likelihood method(equivalent to Bayesian weighting when experts are assumed to have equal priorweights), “classical” method, and equal weights. Both the likelihood and the “classical”method determine weights by evaluating the consistency of each expert’s judgmentswith the “observed” evidence. This is done using a set of “seed” questions to110evaluate the per<strong>for</strong>mance of the experts. The “classical” method is non-parametric,comparing the consistency of the experts’ uncertainty quantiles with the observedvalues, applied through a scoring rule developed by Cooke et al. The likelihood methodis parametric, requiring an assumed or expert-elicited probability distribution function<strong>for</strong> their estimation error. This paper evaluates these approaches under differentcircumstances and discusses the implications <strong>for</strong> characterizing uncertainty.T3-C.4 Haber LH, Kroner OL; haber@tera.orgTERAWHERE THE RUBBER MEETS THE ROAD: A PRACTICAL METH-ODS COMPENDIUM FOR RISK ASSESSORSA wide variety of dose-response approaches exist that apply increasingly datain<strong>for</strong>medmethods and can be used to address a range of problem <strong>for</strong>mulations.However, many risk assessors may not be aware of the range of tools that are availableto address specific needs and questions. To aid in communicating the methodsthat can be used to address different issues, we developed a framework, building offof the framework in the NAS (2009) report, to organize risk assessment methodsand guidances in a practical methods compendium. This internet-based frameworkaddresses qualitative and quantitative screening approaches and in-depth assessmentmethods, and includes active links to additional resources. Application of the methodsto address specific issues raised by the NAS (2009) report will be introduced, andaddressed in greater detail in the remaining talks in the symposium.P.63 Haber LT, Kaden DA, Meek ME, Schroeder J; haber@tera.orgTERA, ENVIRON, University of Ottawa, Ontario Ministry of the EnvironmentREVIEW OF ISSUES RELEVANT TO AMBIENT AIR QUALITY CRITE-RIAThe Ontario Ministry of the Environment is reviewing the science supportingair quality criteria development as part of an ef<strong>for</strong>t to document its process andenhance clarity and consistency <strong>for</strong> stakeholders. The review is also intended to identifyopportunities to refine the methods <strong>for</strong> developing ambient air quality criteria.Areas of particular interest include 1) factors affecting the choice of averaging times<strong>for</strong> sampling and setting of air standards; 2) definitions and applications of chronic,subchronic, and acute exposure and effects; 3) uncertainty factors and the interplaybetween uncertainty factors and the determination of the point of depature; 4) allocationof exposure across routes and consideration of combined exposures; and5) linear vs. non-linear/threshold vs. non-threshold dose response. In support ofthis ef<strong>for</strong>t, we reviewed the approaches used by a variety of jurisdictions in Canada,and US Federal and State agencies, as well as international and national authoritativebodies to identify approaches, issues, and best practices. Areas of controversy withinthe scientific community and areas needing additional research were also identified.
M4-C.2 Haines DA, Murray JL, Donaldson SG; doug.haines@hc-sc.gc.caHealth CanadaCHALLENGES IN INTERPRETING AND COMMUNICATING HU-MAN BIOMONITORING RESULTSIn Canada, national level surveys and studies, community-based Northern andFirst Nations programs, and other targeted studies are generating human biomonitoringdata <strong>for</strong> a wide range of chemicals. Advancements in laboratory methods allow<strong>for</strong> an increasing number of chemicals to be measured at lower detection levels, butour ability to interpret biomonitoring results in relation to the risks these concentrationsmay pose to human health is limited. Current approaches <strong>for</strong> interpretingbiomonitoring results rely largely on the availability of population-based referencevalues (e.g., 95th percentile) and health-based tissue guidelines against which tissueconcentrations can be compared to determine if levels are elevated or associated withincreased health risk. With the exception of lead and mercury, few tissue guidelinesor screening approaches exist <strong>for</strong> interpreting biomonitoring data. This highlights theimportance of developing new tools to support scientists, health professionals andpolicy makers in interpreting and communicating biomonitoring data. Alternativeapproaches that translate existing health-based exposure guidance values, such as atolerable daily intake (TDI) or reference dose (RfD), into concentrations of chemicalsin biological media, are being considered. These offer a number of opportunities tointerpret and communicate what biomonitoring results mean, at the population level,with increased accuracy and clarity. Such approaches have the potential to in<strong>for</strong>m riskassessment and management decisions about possible health risks associated with tissuelevels of chemicals. Further research and development are required to account <strong>for</strong>physiological properties of chemicals, and characteristics of different subpopulationssuch as pregnant women, infants and children. These ef<strong>for</strong>ts will increase the valueand use of biomonitoring data.W3-F.2 Hall IS; ian_S_Hall@hotmail.comOpen UniversityCHANGING PERCEPTIONS OF RISK APPETITE THROUGH THEUSE OF SIMULATIONS AND SCENARIOS<strong>Risk</strong> assessment models and methodologies have often failed to provide optimaldecisions in the corporate world in which we operate. Gut reaction and intuition,combined with decision making through the use of internalised mental models ultimatelyaccount <strong>for</strong> the final decision in many cases. Within the environment in whichthe author operates, decision making is a manual process using risk assessment methodologiesand models to in<strong>for</strong>m decision making under situations where incompletein<strong>for</strong>mation exists, and decisions are required within tight timescales. The study exploreshow the use of scenarios within such an environment can be used to improverisk assessment and decision making at little financial cost to the businessm, and howsuch scenarios have led to changes and alignment in risk appetite amongst rwo diverseorganisations which were merged in 2009. As part of the study, individuals from differentparts of a financial services organisation were brought together to participatein a range of scenarios. Tese were used to develop a better understanding of howperception and risk appetite were linked to decision making. The study revealed thatintelligence does not always provide a good indicator or the ability to make a robustdecision and a lack of ambiguity in processes can lead to a blinkered approach to riskmanagement. The ability of individuals to evaluate in<strong>for</strong>mation from diverse source,often presented in a unique pattern is critical to effective risk decision making, and thestudy offers insights on how this might be achieved outside of the classroom.W2-A.1 Hallman WK, Cuite CL; hallman@aesop.rutgers.eduRutgers, The State University of New JerseyEGG RECALL OF 2010: HIGH AWARENESS DID NOT MATCH BEHAV-IORAL IMPACTIn August, 2010, over 500 million eggs were recalled because of a Salmonellosisoutbreak. A national Internet survey of a sample of 1,204 American adults conductedin late September through October, 2010, found that 91% of Americans had heardabout the recall, including 93% of people who eat eggs (79% who do not eat eggs hadheard about it). Although the recall affected 23 states, only 36% of the national samplethought the eggs sold in their state were affected. Of those who consume eggs,50% reported that they checked their homes <strong>for</strong> the recalled eggs. However, only 3%said that they found recalled eggs and 5% were not sure if they had found recalledeggs. Unlike the spinach recall of 2006, this recall does not seem to have had a significanteffect on consumer behavior, with over three-quarters (77%) of Americansreporting that the egg recall had not really affected the way they purchase, prepare, orconsume eggs. Only 3% said they stopped eating eggs as a result of the recall, and ofthose who cite doing something different as a result of the recall, the most commonresponses were that that they only eat eggs cooked through (10%) and that they washtheir hands more thoroughly when preparing eggs (6%). Some respondents believethat certain types of eggs are less likely to be contaminated than others, possibly indicatinga naturalness effect. While most indicated that they believed eggs to have anequal risk of Salmonella contamination, there was the belief that there was more riskassociated with eggs from chickens raised in cages inside a building than from thosenot raised in cages (31% vs. 9%), eggs from chickens fed conventional vs. organic diet(24% vs. 2%), and white compared to brown eggs (12% vs. 2%). In addition, 50% saidthey weren’t sure what a “shell egg” is, a term repeatedly used by government agenciesand news outlets. This highlights the need <strong>for</strong> continuously testing the messaging used<strong>for</strong> food recalls and other contamination incidents.111
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WK9: Eliciting Judgments to Inform
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These freely available tools apply
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Plenary SessionsAll Plenary Session
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M2-C.1 Abraham IM, Henry S; abraham
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serious accident of the Tokyo Elect
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SECOND FLOOR Floor MapConvention Ce