1:30-3:00 PMBallroom C1M3-A Animal Epidemics,Terrorist Threats, andSiting Biological ResearchFacilitiesChair: Jeryl Mumpower1:30 pm M3-A.1Perceived riskiness and WTP of fourterrorist threatsMumpower JL, Shi L, Vedlitz ATexas A&M University1:50 pm M3-A.2<strong>Risk</strong> perceptions and actions ofWorld Trade Center attack survivorscompared inside and outside theWTC towersZimmerman R, Sherman MF, Gershon RNew York University, Loyola UniversityMaryland, Columbia University2:10 pm M3-A.3Gender differences in lay people andexperts concerning their decisionsabout different strategies to fight epidemicsZingg A, Siegrist METH Zurich2:30 pm M3-A.4<strong>Risk</strong> publics: understanding the unifyingties of personal beliefs vs. communityof residence in the site-selection<strong>for</strong> a biological research facilityBinder AR, Scheufele DA, Brossard DNorth Carolina State University, Universityof Wisconsin-Madison1:30-3:00 PMBallroom C2M3-B: ExposureAssessment ToolsChair: Michael Breen1:30 pm M3-B.1Up in the air: comparison of exposuretools from across the globe thatcan predict worker inhalation exposuresGaborek BJDuPont Haskell Global Centers <strong>for</strong> Health& Environmental Sciences1:50 pm M3-B.2Microenvironment tracker (Micro-Trac) <strong>for</strong> individuals in health studies:estimation of time-microenvironmentprofiles from GPS data loggersBreen M, Crooks J, Long T, Isaacs K,Schultz B, Mukerjee S, Devlin RUS Environmental Protection Agency2:10 pm M3-B.3Integrating cumulative risk and environmentaljustice assessments toguide decision-making, promotestakeholder involvement and assesscumulative impacts: the CRA-EJWizardBarzyk TM, Perlmutt L, Dana G, MartinL, Foster S, Bollweg GUS Environmental Protection Agency2:30 pm M3-B.4A probabilistic depleted uranium per<strong>for</strong>manceassessment: methodologyand resultsPerona R, Lee R, Black P, Tauxe J, StocktonT, Fitzgerald M, Balshi M, Catlett KNeptune and Company, Inc.Monday1:30-3:00 PMBallroom C3M3-C Symposium: DoseResponse <strong>for</strong> BiothreatsSponsored by: DRSGChair: Peg Coleman1:30 pm M3-C.1Need drives development - ArmyBiological Military Exposure Guidelines(BMEGs)Thran BH, Intano GI, McAtee MJArmy Institute of Public Health1:50 pm M3-C.2Let the data speak: extrapolating in<strong>for</strong>mation<strong>for</strong> biothreatsDonadue DUniversity of Maine2:10 pm M3-C.3Modeling respiratory mechanics inanimals: tularemia in the rhesus monkeyMcClellan G, Weber P, Asgharian B, PriceOApplied Research Associates, Inc.2:30 pm M3-C.4Aerosol disease models: limitationsof current data and promise of model-directedresearchRoy CJTulane University School of Medicine1:30-3:00 PMRoom 7M3-E Symposium: ListeriaMonocytogenes Dose-Response Data and Models:Current and FutureAdvancementsSponsored by: MRASGChair: Sherri Dennis, Dan Gallagher1:30 pm M3-E.1Lots of bacteria - few cases: reopeningthe listeria dose-response modelblack-boxPouillot RFood and Drug Administration1:50 pm M3-E.2From experimental infections in animalsto quantifying subtypes in foods:advancements and challenges of datacollection <strong>for</strong> listeria dose-responseChen YFood and Drug Administration - CFSAN2:10 pm M3-E.3Future advancements: recommendationsfrom the IRAC-JIFSAN listeriadose-response workshopWalls IUS Department of Agriculture NationalInstitute of Food and Agriculture18
1:30-3:00 PMRoom 8/9M3-F Symposium:Engaging Stakeholders in<strong>Risk</strong>-In<strong>for</strong>med DecisionMaking: Methodology andCase StudiesChair: Igor Linkov andJose Palma Oliveira1:30 pm M3-F.1Industry and stakeholder engagement:the case of co-incineration ofhazardous waste by cement industryPalma Oliveira JUniversity of Lisbon, Portugal1:50 pm M3-F.2Getting consensus across interagencystakeholders: application of multicriteriadecision analysis to prioritizeskills required <strong>for</strong> future diplomaticmissionsLinkov I, Rosoff H, Valverde LJ, Bates M,Trump B, Friedman D, Evans J, Keisler JUS Army Engineer Research and DevelopmentCenter, US Department of State,University of Massachusetts2:10 pm M3-F.3Stakeholder engagement in thedredged material management plan<strong>for</strong> Long Island SoundCollier ZA, Bates ME, Chu EJ, Fredette TJ,Keegan MF, Habel ML, Wolf S, Linkov IUS Army Corps of Engineers2:30 pm M3-F.4Chemical Hazards Emergency MedicalManagement (CHEMM): mentalmodels approach to improving provisionof emergency preparedness andresponse in<strong>for</strong>mationKovacs D, Thorne S, Butte G, Chang F,Pakiam J, Hakkinen B, Linkov IDecision Partners, LLC, National Institutesof Health, National Library ofMedicine, US Army Corps of Engineers1:30-3:00 PMRoom 10M3-G Symposium: <strong>Risk</strong>Communication and Trustin Canadian AboriginalCommunitiesSponsored by: <strong>Risk</strong> CommunicationChair: Michelle Driedger1:30 pm M3-G.1<strong>Risk</strong> communication and trust indecision-maker action: lessons fromfirst nations, Inuit and Metis casestudies in Canada - the theoretical andmethodological frameworkCooper EJ, Jardine C, Furgal C, DriedgerSMUniversity of Manitoba1:50 pm M3-G.2Evaluating Trust of Contaminantsand Food Messaging in Inuit CommunitiesFurgal C, Driedger SM, Jardine CGTrent University chrisfurgal@trentu.ca2:10 pm M3-G.3Evolution of trust in risk communication:the development of the giantmine remediation plan and the YellowknivesDene First NationJardine CG, Driedger SM, Furgal CMUniversity of Alberta2:30 pm M3-G.4Finding a voice <strong>for</strong> the Metis: riskcommunication and trust during themanagement of pandemic H1N1Driedger SM, Cooper EJ, Jardine CJ, FurgalCUniversity of ManitobaMonday1:30-3:00 PMRoom 11M3-H Symposium:Analyzing and Managing21st Century <strong>Risk</strong>s: MovingBeyond NewtonianApproachesSponsored by: DAR, SDSGChair: Bob Ross1:30 pm M3-H.1The importance of risk type in selectingappropriate analytic approachesand management strategiesRoss RGDepartment of Homeland Security, Scienceand Technology Directorate1:50 pm M3-H.2Assessment of complex adaptive systemtheory <strong>for</strong> homeland security riskmanagementLangbehn WHomeland Security Institute/ANSER2:10 pm M3-H.3The modeler meets the expert on terroristdecision making: risk managementbased on two culturesLathrop JF, Post JMInnovative Decisions, Inc. and PoliticalPsychology <strong>Program</strong>, Elliot School of InternationalAffairs, George WashingtonUniversity2:30 pm M3-H.4Aviation risk management: the importanceof government/industrycollaborationHart CANational Transportation Safety Board1:30-3:00 PMRoom 12/13M3-I Symposium: SynthesizingStudies <strong>for</strong>Evidence-Based Decisionmaking:Part 1, Meta-Regression and RelatedMethodsSponsored by: EBASGChair: Lisa Robinson1:30 pm M3-I.1Why meta-analyses and systematic reviewscome to different conclusionsabout <strong>for</strong>maldehyde and leukemiaGoodman JEGradient1:50 pm M3-I.2Robust meta-analysis using medianquantileand nonparametric regressionprocedures: investigating thevalidity of benefit transfersKaul S, Boyle K, Pope J, Parmeter C, KuminoffN, Moeltner K*Virginia Tech2:10 pm M3-I.3Bayesian data combination <strong>for</strong> benefittransferMoeltner KVirginia Tech2:30 pm M3-I.4Comparison of strategies to structureweight-of-evidence evaluationsRhomberg LRGradient1:30-3:00 PMRoom 14M3-J <strong>Risk</strong> AssessmentMethods DevelopmentChair: Patricia Gillespie1:30 pm M3-J.1US Environmental Protection Agency<strong>Risk</strong> Assessment Forum actionplan <strong>for</strong> advancing human health riskassessmentFitzpatrick JW, Ohanian EVUS Environmental Protection Agency1:50 pm M3-J.2Chemical infrastructure risk assessmentHawkins B, Shroy B, Montello B, GoodingR, Kolakowski J, Whitmire M, McGarveyDBattelle Memorial Institute, DHS ChemcialSecurity <strong>Analysis</strong> Center2:10 pm M3-J.3A Mathematical Compartment Model<strong>for</strong> estimating donor loss due tochanges in the inter-donation intervalForshee RA, Simonetti A, Fernando AMUS Food and Drug Administration19
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M4-H.5 Buede DM, Ezell BC, Guikema
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same scientists’ environmental he
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periods of time. Successful adaptat
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P.123 Charnley G, Melnikov F, Beck
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derived from mouse and rat testes t
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W4-B.3 Convertino M, Collier ZA, Va
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Reference Dose (RfD). The average e
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W2-H.2 Demuth JL, Morss RE, Morrow
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T4-H.4 Dingus CA, McMillan NJ, Born
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methods research priorities and pot
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W3-A.2 Eggers SL, Thorne SL, Sousa
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tions) were < 1 for sub-populations
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sociated with model error. Second,
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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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then allow both systems to operate
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tious disease outbreaks. Several cl
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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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isk appetite and optimal risk mitig
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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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ing the scope and usage of the cybe
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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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shore wind turbines have yet been b
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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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smoked salmon, and associated expos
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and 95th percentiles). Increasing t
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esponse relationship for B. anthrac
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variation on Day 0. Results showed
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sidered. The most significant resul
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W3-C.4 von Stackelberg KE; kvon@eri
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AAbadin HG.................... 36,
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