10:30 AM-NoonBallroom C1W2-A CommunicatingFood ContaminationChair: Ashley Mercer10:30 am W2-A.1Egg recall of 2010: high awarenessdid not match behavioral impactHallman WK, Cuite CLRutgers, The State University of New Jersey10:50 am W2-A.2Aflatoxin and population attributableliver cancer risk in high exposureprevalent areas- a systematic reviewLiu Y, Wu FUniversity of Pittsburgh11:10 am W2-A.4Reassuring the public after a contaminationincident: public perceptionsof microbiological testing and reconditionedfood productsCuite CL, McWilliams RM, HallmanWKRutgers, The State University of New Jersey10:30 AM-NoonBallroom C2W2-B Symposium: PosterPlat<strong>for</strong>m: TheDevelopment of HighThroughput ExposureTechniques <strong>for</strong> PrioritizingChemical <strong>Risk</strong>sChair: Jade Mitchell-BlackwoodW2-B.1 Characterization of uncertaintiesassociated with screeninglevel exposure-based prioritizationof toxic chemicals using PRoTEGEIsukapalli SS, Brinkerhoff CJ, GeorgopoulosPGEnvironmental & Occupational HealthSciences InstituteW2-B.2 Challenging exposure prioritizationapproachesMitchell-Blackwood J, Vallero DA,Egeghy PUS Environmental Protection AgencyW2-B.3 From SHEDS toSHEDS-lite: development of an efficienthuman exposure modelOzkaynak H, Egeghy P, Mitchell-BlackwoodJUS Environmental Protection AgencyW2-B.4 Introduction to chemicalsafety <strong>for</strong> sustainability: exposurebasedprioritizationVallero DA, Egeghy PUS Environmental Protection AgencyWednesdayW2-B.5 High-throughput exposurepotential prioritization <strong>for</strong> Tox-Cast chemicalsWambaugh JFUS Environmental Protection AgencyW2-B.6 Using Multicriteria Decision<strong>Analysis</strong> (MCDA) to prioritizethe exposure potential of existingand emerging chemicalsWang D, Collier Z, Mitchell-Blackwood J,Keisler J, Linkov IDW-Carnegie Mellon University, ZC-USArmy Engineer Research and DevelopmentCenter, JMB-USEPA, JK-University ofMassachusetts, IL-US Army EngineerResearch and Development Center10:30 AM-NoonBallroom C3W2-C Low-DoseDose-ResponseChair: Rick Reiss10:30 am W2-C.1Pesticide residues on food: a mountainor a mole hillReiss R, Johnston J, DeSesso J, Tucker KExponent10:50 am W2-C.2EPA’s endocrine disruptor screeningprogram: lessons from an inert substanceconsortiumGulledge BAmerican Chemistry Council11:10 am W2-C.3Application of systems biology approachto identify the controllingmechanisms <strong>for</strong> J-shaped dose responsecurveZhao Y, Wu YUniversity11:30 am W2-C.4Using dose-response curves to createwin-win environmental legal policiesRowell KAUniversity of Illinois College of Law10:30 AM-NoonRoom 6W2-D <strong>Risk</strong> <strong>Analysis</strong> ofTransportation Networksand AssetsChair: Shital Thekdi10:30 am W2-D.1<strong>Risk</strong> models and negotiation analysis<strong>for</strong> land development adjacent to infrastructuresystemsThekdi SA, Lambert JHUniversity of Virginia10:50 am W2-D.2Climate change impacts on freighttransportation infrastructure - adaptationstrategies and challengesCamp JS, Abkowitz MD, HornbergerGMVanderbilt University11:10 am W2-D.3Modeling the socio-economic risksof bridge failuresAndrijcic E, Haimes YYUniversity of Virginia11:30 am W2-D.4A systemic approach to bridge sensingand monitoring systemsGuo Z, Haimes YYUniversity of Virginia34
10:30 AM-NoonRoom 7W2-E Symposium: Rapid<strong>Risk</strong> Evaluation: AnalyticTools to Support FederalResponse to Environmentaland Food Safety IncidentsSponsored by: MRASGChair: Janell Kause10:30 am W2-E.1<strong>Risk</strong> analysis during food safety emergenciesCallahan J, Dennis SFood and Drug Administration, Center <strong>for</strong>Food Safety and Applied Nutrition10:50 am W2-E.2Rapid risk evaluation: an importanttool <strong>for</strong> addressing food contaminationincidents and emerging foodsafety concernsDomesle ARM, Bennett P, Dearfield K,Kause JFood Safety and Inspection Service, US Departmentof Agriculture11:10 am W2-E.3Rapid risk evaluations: applications,challenges and limitationsKadry AM, Woodall GM, Reid JUS Environmental Protection Agency10:30 AM-NoonRoom 8/9W2-F InnovativeMathematical andComputational Methods <strong>for</strong><strong>Risk</strong> ModelingSponsored by: DARSGChair: Mark Borsuk10:30 am W2-F.1Optimizing and satisficing in themanagement of riskBen-Haim YTechnion - Israel Institute of Technology10:50 am W2-F.2Facilitating pareto-optimal coordinationby subsidies in deterministic andstochastic payoff settingsGong M, Heal G, Krantz D, KunreutherH, Weber EColumbia University11:10 am W2-F.3Modeling operational risk using aBayesian approach to EVTRivera Mancia MEMcGill University11:30 am W2-F.4Agent-based modelling of the linkedenergy, economic, and climate system<strong>for</strong> scenario generation and robustdecision-makingGerst MD, Wang P, Roventini A, Dosi G,Howarth RB, Borsuk MEDartmouth CollegeWednesday10:30 AM-NoonRoom 10W2-G EpidemiologicalDose Response DataChair: Bob Park10:30 am W2-G.1Health risk assessment of exposuresassociated with Nigerian oil fieldsVorhees D, Strauss H, Heiger-Bernays W,Gopinathan B, Oruchin E, Stirrett-WoodG, Igbara J, Cowell W, Chien J, Dong ZBoston University School of Public Health10:50 am W2-G.2Sources of variability in biomonitoringdata: temporal variation in spotsample concentrationsHays S, Kirman C, Aylward LSummit Toxicology11:10 am W2-G.3Microwave popcorn workers: pulmonaryimpairment and preliminary riskassessmentPark RM, Gilbert SJ, Sofge CWNational Institute <strong>for</strong> Occupational Safetyand Health11:30 am W2-G.4Use of worker epidemiological datato assess inhalation risk from 2-MercaptobenzothiazoleWeinrich AJ, Jinot JUS Environmental Protection Agency NationalCenter <strong>for</strong> Environmental Assessment10:30 AM-NoonRoom 11W2-H Symposium: <strong>Risk</strong>Communication in the USHurricane Forecast andWarning SystemSponsored by: RCSGChair: Bob O’Connor10:30 am W2-H.1Inundation or ignorance? Perceptionand communication of storm surgeriskLazo JK, Morrow BH, Rhome JR, FeyenJCNational Center <strong>for</strong> Atmospheric Research10:50 am W2-H.2Communication successes and challengesof the hurricane warning system:a case studyDemuth JL, Morss RE, Morrow BH,Lazo JLNational Center <strong>for</strong> Atmospheric Research11:10 am W2-H.3Studying and improving response totropical cyclone threats: lessons fromthe virtual hurricane labMeyer RJUniversity of Pennsylvania11:30 am W2-H.4Warning decisions in extreme weatherevents: <strong>for</strong>ecasters’ perceptions andperspectives on hurricane <strong>for</strong>ecasts,warnings, decisions and risksBostrom A, Hudson R, Lazo J, Morss R,DeMuth JUniversity of Washington10:30 AM-NoonRoom 12/13W2-I Preference Elicitationand Benefits Assessments,Part 2Chair: David Calkin10:30 am W2-I.1Modeling skip-row corn risk usingexperimental trial data: production,insurance, and economic implicationsWoodard JD, Pavlista AD, Schnitkey GD,Burgener PA, Ward KACornell University, Texas A&M University,University of Nebraska, University ofIllinois, Windsor Strategy Partners10:50 am W2-I.2<strong>Risk</strong> preferences and probabilityweighting in strategic wildfire decision-making:a choice experiment ofUS wildfire managersCalkin DE, Wibbenmeyer MJ, HandMS, Thompson MP, Venn TJUS Forest Service Rocky Mountain ResearchStation, The University of Montana11:10 am W2-I.3The economics of environmentalreclamation <strong>for</strong> shale gas developmentin PennsylvaniaMitchell A, Casman ECarnegie Mellon University11:30 am W2-I.4Stakeholder engagement in practice -the experience of the National TreeSafety Group in the development ofa nationally recognised approach totree safety management in the UKWatt JM, Fay NMiddlesex University, UK, Treework EnvironmentalPractice, UK35
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inter-donation interval to mitigate
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Fukushima nuclear accident coverage
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for growth inhibitor use and retail
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W1-C.1 Goble R, Hattis D; rgoble@cl
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stakeholders. The utility of this m
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T2-E.4 Guidotti TL; tee.guidotti@gm
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M4-C.2 Haines DA, Murray JL, Donald
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providing normative information of
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P.122 Hosseinali Mirza V, de Marcel
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W2-B.1 Isukapalli SS, Brinkerhoff C
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M3-G.3 Jardine CG, Driedger SM, Fur
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P.88 Johnson BB, Cuite C, Hallman W
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metrics to provide risk management
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M4-C.1 Koch HM, Angerer J; koch@ipa
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certainty factors) and comparative
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T3-D.4 LaRocca S, Guikema SD, Cole
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P.71 Lemus-Martinez C, Lemyre L, Pi
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of excretion, and the increased che
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M2-D.4 MacKenzie CA, Barker K; cmac
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ameters, and enabled a more robust
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over the nature and format of infor
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Analysis (PRA). Existing parametric
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explosion of a bomb in a building,
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T3-G.3 Nascarella MA; mnascarella@g
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corresponding slowdown in container
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dose for a variety of exposure scen
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“nanofibers”) is relatively und
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ment (CEA), which provides both a f
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T3-D.2 Resurreccion JZ, Santos JR;
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T2-D.3 Rypinski AD, Cantral R; Arth
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time and temperature, determining t
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ers and inspectors. Analysis examin
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smoked salmon, and associated expos
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and 95th percentiles). Increasing t
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variation on Day 0. Results showed
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sidered. The most significant resul
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mation insufficiency, risk percepti
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choices. This work examines these s
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SECOND FLOOR Floor MapConvention Ce