Final Program - Society for Risk Analysis

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1:30-3:00 PMBallroom C1T3-A Fukushima and RiskCommunicationChair: Gina Eosco1:30 pm T3-A.1Explaining radiation risks: a comparisonof media coverage of Fukushima,Chernobyl and TMIFriedman SMLehigh University1:50 pm T3-A.2How the accident at Fukushima affectedthe public’s perception of nuclearpower: results of a longitudinalsurveySiegrist M, Visschers VHMETH Zurich, Switzerland2:10 pm T3-A.3Calm panic of the Japanese againstthe complex disaster 3-11Tsuchida SKansai University2:30 pm T3-A.4Nuclear energy and the contingentimpact of media attentionBesley JCUniversity of South Carolina281:30-3:00 PMBallroom C2T3-B Diverse ModelingApproaches for ExposureAssessmentChair: Mark Weir1:30 pm T3-B.1A novel modeling system for studyingthe effects of climate change onexposures to aeroallergens and cooccurringgas pollutantsIsukapalli SS, Zhang Y, Bielory L, RobockA, Georgopoulos PGEnvironmental and Occupational HealthSciences Institute, Rutgers University1:50 pm T3-B.2A tiered approach to dermal exposureassessment for antimicrobialpesticidesMcDougal JN, Guy RH*, LeightonT, Bronaugh RL, Shah PV, Olin SS,O’Brien TM, Canady RAWright State University, University ofBath, UK, US Environmental ProtectionAgency, US Food and Drug Administration,ILSI Research Foundation, Ecolab2:10 pm T3-B.3Uncertainty in multimedia mass-balancemodels: an evaluation by fuzzyarithmetic and probability boundsanalysisOberg T, Iqbal MSLinnaeus University2:30 pm T3-B.4Stochastic modeling of water reclamationtreatment redesign suggestionsaddressing cryptosporidiosisrisk at a recreational spray parkWeir MH, Razzolini MTP, Rose JB, MasagoYMichigan State UniversityTuesday1:30-3:00 PMBallroom C3T3-C Symposium:Improving ProblemFormulation and Dose-Response Beyond Scienceand Decision, Part 1Sponsored by: DRSGCo-Chairs: Julie Fitzpatrick,Rick Becker1:30 pm T3-C.1The collaborative ARA adventure:extending and expanding discussionsof problem formulation and doseresponsePottenger LHThe Dow Chemical Company1:50 pm T3-C.2Linking problem formulation todose-response assessmentPaoli GRisk Sciences International2:10 pm T3-C.3The importance of mode of actionMeek MEUniversity2:30 pm T3-C.4Where the rubber meets the road: apractical methods compendium forrisk assessorsHaber LH, Kroner OLTERA1:30-3:00 PMRoom 6T3-D Disasters andInfrastrutureInterdependenciesChair: Joost Santos1:30 pm T3-D.1Effects of network topology on vulnerabilityduring targeted attacksGuikema SD, LaRocca SJohns Hopkins University1:50 pm T3-D.2Developing an inventory-based prioritizationmethodology for assessinginoperability and economic loss in interdependentsectorsResurreccion JZ, Santos JRGeorge Washington University2:10 pm T3-D.3Water system reliability under hurricaneimpact considering electricalgrid interdependencyChristian J, Rokneddin K, Ouyang M,Duenas-Osorio LRice University2:30 pm T3-D.4Broadening the discourse on infrastructureinterdependence by modelingthe ‘ecology’ of infrastructuresystemsLaRocca S, Guikema SD, Cole J, SandersonEJohns Hopkins University1:30-3:00 PMRoom 7T3-E Innovative Uses ofQMRA to Support RiskManagementChair: Hong Yang1:30 pm T3-E.1Risk Assessment of potential transmissionof variant Creutzfeldt-JakobDisease (vCJD) via transfusion in theUnited StatesYang H, Anderson SACenter for Biologics Evaluation and Research,Food and Drug Administration1:50 pm T3-E.2Risk based microbiological criteria forShiga toxin-producing E. coli (STEC)in ground beefSanaa M, Poisson S, Lailler RANSES2:10 pm T3-E.3A Campylobacter QMRA (QuantitativeMicrobiological Risk Assessment)for petting zoosEvers EG, Horneman ML, Berk PA,Van Leusden FM, De Jonge RNatl Inst for Pub Hlth, Bilthoven, TheNetherlands2:30 pm T3-E.4Quantitative Microbial Risk Assessmentof Fomites Accounting for SurfaceSampling Efficiency for Virusesand Non-Spore Forming BacteriaWeir MH, Shibata T, Masago Y, CologgiDL, Rose JBMichigan State University
1:30-3:00 PMRoom 8/9T3-F AppliedMethodology for Transportationand Other RiskManagementSponsored by: DARSG, EISGChair: Mark Abkowitz1:30 pm T3-F.1An application of enterprise riskmanagement in the marine transportationindustryAbkowitz MD, Camp JSVanderbilt University1:50 pm T3-F.2Quantifying factors & trends in casualtiesdue to hazardous materialstransportationLocke MSPipeline & Hazardous Materials SafetyAdministration (PHMSA)2:10 pm T3-F.3Risks related to the transportation ofhazardous materials: a decision-makingtool for selecting a carrierPeignier I, De Marcellis-Warin NCIRANO (Center for Interuniversity researchand Analysis of Organizations)2:30 pm T3-F.4Computer based classification of performanceshaping factors for safetyanalysisYemelyanov AM, Yemelyanov AAGeorgia Southwestern State University1:30-3:00 PMRoom 10T3-G Nanomaterials:Environment, Dose-Response, and ExpertOpinionChair: Margaret MacDonell1:30 pm T3-G.1Nanomaterial release from productsis not related to hazard data: methodsand data lackingFroggett S, Canady RACenter for Risk Science Innovation and Application,ILSI Research Foundation1:50 pm T3-G.2A modeling framework for assessingrisk from engineered nanoparticles inthe environmentIsukapalli SS, Mukherjee D, Royce SG,Georgopoulos PGEnvironmental & Occupational HealthSciences Institute, New Jersey2:10 pm T3-G.3Evaluating biphasic dose-responsesin nanotoxicology assaysNascarella MAGradient2:30 pm T3-G.4Expert opinion and lifecycle regulationfor emerging nanomaterialsBeaudrie CEH, Kandlikar M, SatterfieldT, Herr Harthorn BInstitute for Resources, Environment andSustainability, University of British Columbia,Center for Nanotechnology in Society,University of California Santa BarbaraTuesday1:30-3:00 PMRoom 11T3-H Risk Analysis ofWeapons of MassDestruction in the SupplyChainSponsored by: SDSGChair: Nancy McMullan1:30 pm T3-H.1Screening cargo containers for nuclearmaterial using a layered, risk-basedscreening systemDreiding RA, McLay LAVirginia Commonwealth University1:50 pm T3-H.2Chemical supply chain incident modelfor human health consequence estimatesMontello BM, Shroy BC, Buchta DA,Hawkins BE, Gooding R, Kolakowski J,McGarvey DBattelle Memorial Institute, DHS CSAC2:10 pm T3-H.3Food supply chain safety and securityrisk management: an innovative informationintegration approachKrishen LFutron Corporation2:30 pm T3-H.4Modeling health care surge capacityrequirements during an attack on thefood supplyHartnett E, Schaffner D, Lysak K, HedbergC, Paoli GRisk Sciences International, Rutgers, ClarityHealthcare, University of Minnesota1:30-3:00 PMRoom 12/13T3-I Symposium:Catastrophic ClimateChangeSponsored by: EBASGChair: Seth Baum1:30 pm T3-I.1International differences in risk toleranceand implications for global climatepolicyBorsuk ME, Ding P, Gerst MD, BernsteinA, Howarth RBDartmouth College1:50 pm T3-I.2Risk governance of nano-geoengineeringHollenkamp L, Kuzma JHumphrey School of Public Affairs, Universityof Minnesota2:10 pm T3-I.3Public understanding of Solar RadiationManagement and its implicationson future researchMercer AM, Keith DW, Sharp JDUniversity of Calgary, Simon Fraser University2:30 pm T3-I.4Risk-risk tradeoffs in climate engineeringWiener JBDuke University29
Page 4 and 5: Ballroom C1Monday10:30 AM-NoonM2-A
Page 9 and 10: US Environmental Protection Agency
Page 11 and 12: Workshops - Sunday, December 4Full
Page 13 and 14: WK9: Eliciting Judgments to Inform
Page 15 and 16: These freely available tools apply
Page 17 and 18: Plenary SessionsAll Plenary Session
Page 19 and 20: 10:30 AM-NoonRoom 8/9M2-F Panel Dis
Page 21 and 22: 1:30-3:00 PMRoom 8/9M3-F Symposium:
Page 23 and 24: 4:50 pm M4-E.5Modeling of landscape
Page 25 and 26: P.35 Health risk assessment of meta
Page 27 and 28: Works-In-ProgressP.99 Assessing the
Page 29: 10:30 AM-NoonRoom 8/9T2-F Error in
Page 34 and 35: 8:30-10:00 AMBallroom C1W1-A Sympos
Page 36 and 37: 10:30 AM-NoonBallroom C1W2-A Commun
Page 38: 1:30-3:00 PMBallroom C1W3-A Communi
Page 41 and 42: 3:30-4:30 PMRoom 8/9W4-F Environmen
Page 43 and 44: oth recent advances, and ongoing ch
Page 45 and 46: M3-H Symposium: Analyzing and Manag
Page 47 and 48: Part 2, we consider the use of expe
Page 49 and 50: T4-E Symposium: Food Safety Risk Pr
Page 51 and 52: While integral to guiding the devel
Page 53 and 54: have contributed to past difficulti
Page 55 and 56: M2-C.1 Abraham IM, Henry S; abraham
Page 58 and 59: serious accident of the Tokyo Elect
Page 60 and 61: een found that independence assumpt
Page 62 and 63: W4-I.1 Beach RH, McCarl BA, Ohrel S
Page 64 and 65: M4-A.1 Berube DM; dmberube@ncsu.edu
Page 66 and 67: W4-A.1 Boerner FU, Jardine C, Dried
Page 69 and 70: M2-G.1 Brink SA, Davidson RA; rdavi
Page 71 and 72: M4-H.5 Buede DM, Ezell BC, Guikema
Page 73 and 74: same scientists’ environmental he
Page 75 and 76: periods of time. Successful adaptat
Page 77 and 78: P.123 Charnley G, Melnikov F, Beck
Page 79 and 80: derived from mouse and rat testes t
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esources under any circumstance in
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W4-B.3 Convertino M, Collier ZA, Va
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addition, over 10% thought that eve
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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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esponse to requests from the EC, th
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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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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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lived in a apartment (not including
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W3-C.4 von Stackelberg KE; kvon@eri
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P.12 Waller RR, Dinis MF; rw@protec
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W2-B.6 Wang D, Collier Z, Mitchell-
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iomonitoring “equivalent” level
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T4-H.2 Winkel D, Good K, VonNiederh
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mation insufficiency, risk percepti
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choices. This work examines these s
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sults and possible intended or unin
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AAbadin HG.................... 36,
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Gray GM............................
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Peters E...........................
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SECOND FLOOR Floor MapConvention Ce
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Final Program - Society for Risk Analysis

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