derstand benefits and problems with potential mitigation strategies. The value ofthese site visits in filling quantitative risk assessment data gaps has been recognizedby CFSAN and is now being implemented as an important step in developing futureaccurate food safety microbial risk assessments.T4-E.2 Fazil A, Ruzante J, Davidson V, Caswell J, Nguyen T, Cranfield J, HensonJ, Anders S, Schmidt C, Farber J; aamir.fazil@phac-aspc.gc.caPublic Health Agency of CanadaA MULTIFACTORIAL RISK PRIORITIZATION FRAMEWORK FORFOODBORNE PATHOGENSThe development of a prioritization framework <strong>for</strong> foodborne risks that considerspublic health impact as well as three other factors (market impact, consumerrisk acceptance and perception, and social sensitivity) will be presented. In order tomake the tool more usable and efficient, a database and analysis tool using Analyticasoftware has been developed to facilitate in the calculation and storage of in<strong>for</strong>mationrelated to the criteria. In addition, the flexibility of the framework to accept inputs tothe criteria from other sources such as process risk models like i<strong>Risk</strong> to generate publichealth impact will also be discussed. The final prioritization is facilitated throughthe use of an outranking multicriteria decision analysis (MCDA) approach. Overall,the tool can support policymakers in complex risk prioritization decision makingwhen different stakeholder groups are involved and when multiple pathogen-foodcombinations are compared.P.2 Fedoruk A, Davidson VJ, Fazil A; vdavidso@uoguelph.caUniversity of Guelph, Public Health Agency of CanadaQUANTITATIVE RISK MODEL FOR FOODBORNE PATHOGENS INHERBS AND SPICESRecent recalls and outbreaks have raised questions about the potential <strong>for</strong> herbsand spice seasonings to cause illness, particularly in food products which receive minimaltreatment prior to consumption. A quantitative risk model was developed usingAnalytica® (Lumina Decision Systems, Inc.) to estimate the potential <strong>for</strong> spicesto cause illness in a high risk food-pathogen combination (Salmonella spp. in dairybaseddips). The exposure model considered contamination levels and prevalence inthe spice ingredients as well as intrinsic and extrinsic factors during preparation andstorage of the product which would result in changes in levels of contamination overtime. Monte Carlo simulation was used to account <strong>for</strong> uncertain model variables. Themodel framework was used to generate per serving rate of illness estimates <strong>for</strong> differentscenarios and to identify risk minimization strategies. Model outcomes suggestedthat initial contamination levels and storage times were the most important variablesin terms of influencing per serving rate of illness. Future directions include expandingthe model to characterize risks from spices in additional food-pathogen combinationsand investigating the effects of spice decontamination treatments.96T2-F.1 Feng TJ, Keller LR, Wang YT; LRKeller@uci.eduFudan University, University of Cali<strong>for</strong>nia, IrvineTIME INCONSISTENCY OF RISK PERCEPTIONIn this paper we investigate inter-temporal changes of risk perceptions in decisionsunder uncertainty. Time inconsistency of preference has been well documentedin the literature, but any possible time inconsistency of risk perception has not receivedmuch attention. Two competing theories predict opposite results. The risk-asfeelingshypothesis (Loewenstein et al., 2001) states that payoffs and probabilities havedifferent roles: when more emotional, people are less sensitive to variation in probabilityand more sensitive to variation in payoffs. Thus it predicts that an increment intime delay be<strong>for</strong>e receiving a binary gamble will lead to a higher impact of probabilityand a lower impact of payoff on risk perception when judged in the present time, assuminglarger temporal distance leads to less emotional reactions. However, construallevel theory (Liberman at al., 2002) and time-dependent gambling (Sagristano et al.,2002) proposed that probability is subordinate to payoff in preferences <strong>for</strong> gambles,which means payoffs can be regarded as being at a higher level of construal in gambleswhile probabilities can be regarded as at a lower level. This predicts temporaldistance increases the influence of payoffs and decreases the influence of probabilityon preferences. In this study, we propose that temporal distance has different influenceson attributes of a decision alternative with respect to risk perception as well.Experiments are conducted with hypothetical scenarios to examine this propositionwhere either probability (payoff) is controlled to estimate the influence of time andthe payoff (probability) and provide a detailed discussion of our empirical results.Research results will help in developing a useful framework <strong>for</strong> evaluating anticipatedrisk consequences, which can be used by DHS to deliver in<strong>for</strong>mation on anticipatedconsequences of future societal or natural risks to the public. Possible implications onrisk perception of terrorism risks and natural disasters are discussed.T2-F.2 Ferson S, Siegrist J, Balch M, Finkel A; scott@ramas.comApplied Biomathematics, Rutgers University, University of Pennsylvania Law SchoolFACTORING OUT BIAS AND OVERCONFIDENCE: ADVANCED BIASCORRECTION IN RISK ANALYSISNumerical estimates produced by experts and lay people alike are commonlybiased as a result of self-interest on the part of the persons making the estimates.There is also empirical evidence that expressions of uncertainty are much smallerthan justified. Simple scaling, shifting or inflating corrections are widely used to account<strong>for</strong> such biases and overconfidence, but better distributional in<strong>for</strong>mation isusually available, and fully using this in<strong>for</strong>mation can yield corrected estimates thatproperly express uncertainty. Corrections can be made in two distinct ways. First,predictions can be convolved with an empirical distribution or p-box of observed errors(from data quality or validation studies) to add uncertainty about predictions as-
sociated with model error. Second, predictions can be deconvolved to remove someof the uncertainty about predictions associated with the measurement protocol. Inboth of these cases, the structure of errors can be characterized as a distribution orp-box with arbitrary complexity. We illustrate the requisite calculations to make thesecorrections with numerical examples. We conclude (1) the notion of ‘bias’ shouldbe understood more generally in risk analysis to reflect both location and uncertaintywidth, (2) self-interest bias and understatement of uncertainty are common, large inmagnitude, and should not be neglected, (3) convolution can be used to inflate uncertaintyto counteract human psychology, and (4) deconvolution can be used to removesome of the uncertainty associated with measurement errors.W1-C.4 Finkel AM, Altemose B, Hattis D; afinkel@law.upenn.eduUniversity of Pennsylvania Law SchoolNONE OF THE OCCUPATIONAL EXPOSURE LIMITS REVEAL RISKINFORMATION: A QUANTITATIVE “NUDGE” COULD SAVE LIVESFor ambient air, water, and food, lists of the potencies of contaminants arereadily found, and derive from the two dose-response regimes in widespread use <strong>for</strong>the past 30 years (continuous functions <strong>for</strong> presumed carcinogens, and “margins ofsafety” below low-risk levels <strong>for</strong> non-carcinogens). But by far the greatest exposuresto these substances occur in the workplace, where no authoritative body has set levelsthat rely on risk assessment techniques. In particular, the few Permissible ExposureLimits that OSHA has set may reference elaborate risk assessments, but ultimately areset based on (pessimistic) assumptions about feasibility; thus, every PEL reflects a differentrisk level. The ACGIH Threshold Limit Values (TLVs) reflect expert judgmentin light of extensive toxicologic and/or epidemiologic evidence, but employ no riskassessment techniques, and incorporate almost as many different implicit “margins ofsafety” as there are TLVs. Ready access to scientific knowledge about the relationshipbetween exposure and risk should not be hidden from those exposed. There<strong>for</strong>e, weoffer a detailed proposal <strong>for</strong> government and academia to collaborate to generate thefirst list of (roughly several hundred) “risk-based exposure goals” <strong>for</strong> the workplace.Each exposure goal would correspond to a common probability of harm (we suggest1-in-1000 excess working-lifetime risk), based on common computational methodsand common ways to handle uncertainty. We recommend a “unified” paradigm thattreats non-carcinogenic endpoints as having estimable non-zero risks at the populationlevel, in the spirit of the recommendations in the recent Science and Decisionsreport of the National Research Council. We will discuss the value of such a compendiumof exposure goals <strong>for</strong> right-to-know and product substitution purposes,and expore how OSHA could change its inspection and en<strong>for</strong>cement policies to encourageemployers to achieve acceptable risk levels, even though the guideline levelswould be unfettered by in<strong>for</strong>mation about the aggregate costs of any specific controlmeasures.W1-H.3 Fischbach JR, Ortiz DS, Johnson DR, Burger NE; djohnson@rand.orgRAND CorporationASSESSING LONG-TERM FLOOD RISKS TO COASTAL LOUISIANAUNDER DEEP UNCERTAINTYLouisiana is in the midst of updating its Master Plan <strong>for</strong> a Sustainable Coast,which specifies a set of structural protection projects to be implemented over thecoming decades to protect coastal communities from the effects of catastrophic hurricanes.These projects need to be evaluated on a variety of criteria but primarily onthe extent to which actions will reduce risk from flooding. We have developed theCoastal Louisiana <strong>Risk</strong> Assessment Model (CLARA) to evaluate this risk under awide range of uncertain scenarios about future regional growth; sea level rise andsubsidence; and nonstationarity in future hurricane characteristics. CLARA is a downscaledversion of previous models developed by the Interagency Per<strong>for</strong>mance EvaluationTask Force (IPET) and Louisiana Coastal Protection and Restoration project(LACPR). The model is designed to be useful <strong>for</strong> long-range planning over a 50 yeartime horizon and large-scale scenario analysis rather than design-level analysis. Toflexibly compare the risk reduction achievable by many potential projects, we havedeveloped innovative methods <strong>for</strong> storm sampling and the estimation of flood levelsinterior to a protection system based on the probability distributions of surge levelsat points along the exterior of the system. These provide the computational and statisticalefficiency that allows evaluation of many scenarios within feasible limits oncomputing resources. The model incorporates system fragility by estimating the probabilityof multiple modes of failure, and we also consider the impact of nonstructuralmitigation policies such as floodproofing, home elevation and buyouts. Flood depthsand residual economic risk are reported as 50-, 100-, and 500-year exceedance values.We discuss these new methodologies and present key insights from model results.M3-J.1 Fitzpatrick JW, Ohanian EV; fitzpatrick.julie@epa.govUS Environmental Protection AgencyU.S. ENVIRONMENTAL PROTECTION AGENCY RISK ASSESSMENTFORUM ACTION PLAN FOR ADVANCING HUMAN HEALTH RISKASSESSMENTIn response to recommendations from the National Research Council (NRC)reports Science and Decisions, Phthalates and Cumulative <strong>Risk</strong> Assessment, and ToxicityTesting in the 21st Century, and considering the Agency’s cross-cutting fundamentalstrategy of working <strong>for</strong> environmental justice and children’s health, the <strong>Risk</strong>Assessment Forum hosted a Human Health <strong>Risk</strong> Assessment Colloquium in October2010. The Agency only Colloquium brought 120 risk assessors and risk managerstogether to develop an Action Plan to Advance Human Health <strong>Risk</strong> Assessment.Colloquium discussions focused on, Agency senior managers risk assessment needs<strong>for</strong> decision making, uncertainty and variability, dose-response assessment, use of97
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SECOND FLOOR Floor MapConvention Ce