10:30 AM-NoonBallroom C1T2-A Climate ChangePerceptions and TheirConsequencesChair: Chris Clark10:30 am T2-A.1What, me worry? The role of affectin in<strong>for</strong>mation seekingYang JZ, Kahlor LSUNY-Buffalo10:50 am T2-A.2Climate change in the Indian Country:culture, beliefs, risk perceptionand behaviorSafi AS, Smith WJ, Chief K, Liu ZUniversity of Michigan11:10 am T2-A.3Energy systems and climate change:Canadian perspectives and evaluationsof trade-offs and valuesBoyd AD, Einsiedel EFUniversity of Calgary11:30 am T2-A.4The potentially alarming effect ofcommunicating CCS monitoringL’Orange Seigo S, Wallquist L, Dohle S,Siegrist METH Zurich10:30 AM-NoonBallroom C2T2-B Symposium: SeafoodSafety Following theDeepwater Horizon Oil SpillChair: Mike Bolger10:30 am T2-B.1A review of seafood safety after theDeepwater Horizon blowoutGohlke JM, Doke D, Tipre M, Leader M,Fitzgerald TUniversity of Alabama at Birmingham,School of Public Health10:50 am T2-B.2A retrospective on the multiagencyresponse to seafood safety followingthe 2010 Deepwater Horizon OilSpillDickey RFDA, Gulf Coast Seafood Laboratory11:10 am T2-B.3Assessing seafood safety during theDeepwater Horizon oil spill MC252Dickhoff WW, Walker C, Ylitalo G,Wilson S, Stein JNOAA Fisheries11:30 am T2-B.4The state of Mississippi’s response tothe Gulf Oil SpillBrown A, Rodriguez J, Hagood G, KangX, Armbrust K, Jewell J, Diaz D, GatianN, Folmer HMississippi State University, Office of theState Chemist-MS, Mississippi Departmentof Marine Resources, Mississippi Departmentof Environmental QualityTuesday10:30 AM-NoonBallroom C3T2-C Dose ResponseModelingChair: Juleen L. Lam10:30 am T2-C.1Bayesian Model averaging <strong>for</strong> benchmarkdose estimation from continuousdataShao KCarnegie Mellon University10:50 am T2-C.2Developing a Bayesian approach todose response assessment: an applicationto trihalomethanes in drinkingwaterLam JL, Fox MA, Burke TAJohns Hopkins University, BloombergSchool of Public Health11:10 am T2-C.3Estimating noncancer human healthrisks associated with acrolein inhalationusing the Straw Man ModelLynch MT, Hattis D, Greco S, Belova AABT Associates Inc.11:30 am T2-C.4Application of a data fusion frameworkto integrate toxicity data <strong>for</strong> apetroleum hydrocarbon mixtureDyck R, Sadiq R, Zargar A, Islam S,Mohapatra AHealth Canada Alberta Region10:30 AM-NoonRoom 6T2-D Symposium: ClimateChange Impacts andAdaptation Strategies:Evolving Roles of <strong>Risk</strong><strong>Analysis</strong>Sponsored by: EISGChair: Arthur Rypinski10:30 am T2-D.1Anticipating and adapting to climatechange in coastal deltasBurkett VRUnited States Geological Survey, Departmentof the Interior10:50 am T2-D.2Using Bayesian Networks to evaluatesea-level risePlant NGUnited States Geological Survey, Departmentof the Interior11:10 am T2-D.3National Climate Assessment & USadaptation strategiesRypinski AD, Cantral RUS Department of Transportation11:30 am T2-D.4<strong>Risk</strong> assessment strategies <strong>for</strong> adaptationand sea-level riseMacDonell MM, Rypinski ADArgonne National Lab10:30 AM-NoonRoom 7T2-E Health, Safety and<strong>Society</strong>Co-Chairs: Tee Guidotti,Margaret MacDonell10:30 am T2-E.1UK health and safety and the “Lofstedtreview”Lofstedt RKings College London10:50 am T2-E.2Public safety and risk assessmentBall DJ, Ball-King LNMiddlesex University, London11:10 am T2-E.3Using the concept of systemic risksto approach social unrestRenn O, Jovanovic A, Schroeter RStuttgart University11:30 am T2-E.4Enterprise- and workplace-level riskmanagement and the Deming CycleGuidotti TLMedical Advisory Services26
10:30 AM-NoonRoom 8/9T2-F Error in <strong>Risk</strong>AssessmentChair: Robin Keller10:30 am T2-F.1Time inconsistency of risk perceptionFeng TJ, Keller LR, Wang YTFudan University, University of Cali<strong>for</strong>nia,Irvine10:50 am T2-F.2Factoring out bias and overconfidence:advanced bias correction inrisk analysisFerson S, Siegrist J, Balch M, Finkel AApplied Biomathematics, Rutgers University,University of Pennsylvania Law School11:10 am T2-F.3Accounting <strong>for</strong> professional judgmentin risk maturity: a case studyfrom the power utility sectorMauelshagen CW, Denyer D, Pollard SJCranfield University, UK11:30 am T2-F.4Assessing climate as a factor in cropyield in SubSaharan AfricaCullen A, Smoliak B, Po-Chedley S, AndersonCLEvans School of Public Affairs, Departmentof Atmospheric Sciences, <strong>Program</strong> onClimate Change, University of Washington10:30 AM-NoonRoom 10T2-G Games and DigitalPlat<strong>for</strong>ms <strong>for</strong> <strong>Risk</strong>CommunicationChair: Janet Yang10:30 am T2-G.1In<strong>for</strong>med public choices <strong>for</strong> low-carbonelectricity portfolios using a portfolio-buildingcomputer decision toolFleishman LA, Bruine de Bruin W, MorganMGCarnegie Mellon University, RAND Corporation10:50 am T2-G.2LinkIT - a gaming approach <strong>for</strong> elicitingmental models about riskCao Y, McGill WLThe Pennsylvania State University11:10 am T2-G.3SortIT - an online multiplayer adventuregame <strong>for</strong> pairwise ranking ofrisksCalle JJ, McGill WLThe Pennsylvania State University11:30 am T2-G.4Visualizing risk and uncertainty: anexperimental studyEosco GM, Scherer CWCornell UniversityTuesday10:30 AM-NoonRoom 11T2-H Bioterrorism:Analyzing Agentsand <strong>Risk</strong>sSponsored by: SDSGChair: Patricia Underwood10:30 am T2-H.1Dose-response research to supportrisk-based site-specific decisions followingan anthrax attackTaft SC, Comer JE, Hines SA, BarnewallRE, Nichols TLUS Environmental Protection Agency, BattelleMemorial Institute10:50 am T2-H.2Dose-response study <strong>for</strong> mice exposedto single and multiple doses ofFrancisella tularensis type A strainsHuang Y, Haas CN, Rose JB, Bolin CAMichigan State University11:10 am T2-H.3Updating data <strong>for</strong> the Departmentof Homeland Security’s Bioterrorism<strong>Risk</strong> AssessmentHawks ES, Burns JM, Bowdle DA,Middleton JKBattelle11:30 am T2-H.4Gap <strong>Analysis</strong> Methodology <strong>for</strong> theDepartment of Homeland Security’sBioterrorism <strong>Risk</strong> AssessmentMiddleton JK, Hale TL, Lordo RA,Huckett JCBattelle10:30 AM-NoonRoom 12/13T2-I Symposium: Regulationand <strong>Risk</strong>Chair: Rick Belzer10:30 am T2-I.1Regulatory science and policy - a casestudy of the National Ambient AirQuality StandardsDudley SEThe George Washington University10:50 am T2-I.2The extent of uncertainty analysis <strong>for</strong>major proposed regulationsEllig JRMercatus Center11:10 am T2-I.3Uncertainty and estimates of thebenefits of reducing fine particle pollutionFraas A, Lutter RResources <strong>for</strong> the Future11:30 am T2-I.4Utility of regulations and inspection:food safety exampleWilliams RAMercatus Center at George Mason University10:30 AM-NoonRoom 14T2-J <strong>Risk</strong> Communication- Networks across Hazardsand along Life CyclesChair: Christy Powers10:30 am T2-J.1The value of knowledge-based decisions:improving terrorism defenseby integrating multi-criteria decisionanalysis, game theory, and the valueof in<strong>for</strong>mationHartz RT, Coles JB, Keisler JM, ZhuangJ, Linkov IUniversity of Pittsburgh, University atBuffalo, University of Massachusetts, USArmy Engineer Research and DevelopmentCenter10:50 am T2-J.2Modeling the safety and efficacy ofvaccines through the life cycleKing DBUS Food and Drug AdministrationCBER11:10 am T2-J.3A framework <strong>for</strong> regional all-hazardsrisk assessment and mitigationChatterjee S, Abkowitz MDCREATE- University of Southern Cali<strong>for</strong>nia,Vanderbilt University11:30 am T2-J.4What affects the sharing of riskknowledge in government networks- a social network analysisShaw H, Rocks SA, Denyer DCranfield University27
- 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: Works-In-ProgressP.99 Assessing the
- Page 31 and 32: 1:30-3:00 PMRoom 8/9T3-F AppliedMet
- 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
- Page 81 and 82:
esources under any circumstance in
- Page 83 and 84:
W4-B.3 Convertino M, Collier ZA, Va
- Page 85 and 86:
addition, over 10% thought that eve
- Page 87 and 88:
Reference Dose (RfD). The average e
- Page 89 and 90:
W2-H.2 Demuth JL, Morss RE, Morrow
- Page 91 and 92:
T4-H.4 Dingus CA, McMillan NJ, Born
- Page 93 and 94:
methods research priorities and pot
- Page 95 and 96:
W3-A.2 Eggers SL, Thorne SL, Sousa
- Page 97 and 98:
tions) were < 1 for sub-populations
- Page 99 and 100:
sociated with model error. Second,
- Page 101 and 102:
inter-donation interval to mitigate
- Page 103 and 104:
Fukushima nuclear accident coverage
- Page 105 and 106:
for growth inhibitor use and retail
- Page 107 and 108:
W1-C.1 Goble R, Hattis D; rgoble@cl
- Page 109 and 110:
stakeholders. The utility of this m
- Page 111 and 112:
T2-E.4 Guidotti TL; tee.guidotti@gm
- Page 113 and 114:
M4-C.2 Haines DA, Murray JL, Donald
- Page 115 and 116:
providing normative information of
- Page 117 and 118:
then allow both systems to operate
- Page 119 and 120:
tious disease outbreaks. Several cl
- Page 121 and 122:
P.122 Hosseinali Mirza V, de Marcel
- Page 123 and 124:
W2-B.1 Isukapalli SS, Brinkerhoff C
- Page 125 and 126:
M3-G.3 Jardine CG, Driedger SM, Fur
- Page 127 and 128:
P.88 Johnson BB, Cuite C, Hallman W
- Page 129 and 130:
metrics to provide risk management
- Page 131 and 132:
M4-C.1 Koch HM, Angerer J; koch@ipa
- Page 133 and 134:
certainty factors) and comparative
- Page 135 and 136:
T3-D.4 LaRocca S, Guikema SD, Cole
- Page 137 and 138:
P.71 Lemus-Martinez C, Lemyre L, Pi
- Page 139 and 140:
of excretion, and the increased che
- Page 141 and 142:
M2-D.4 MacKenzie CA, Barker K; cmac
- Page 143 and 144:
isk appetite and optimal risk mitig
- Page 145 and 146:
ameters, and enabled a more robust
- Page 147 and 148:
over the nature and format of infor
- Page 149 and 150:
Analysis (PRA). Existing parametric
- Page 151 and 152:
explosion of a bomb in a building,
- Page 153 and 154:
T3-G.3 Nascarella MA; mnascarella@g
- Page 155 and 156:
corresponding slowdown in container
- Page 157 and 158:
ing the scope and usage of the cybe
- Page 159 and 160:
dose for a variety of exposure scen
- Page 161 and 162:
“nanofibers”) is relatively und
- Page 163 and 164:
ment (CEA), which provides both a f
- Page 165 and 166:
T3-D.2 Resurreccion JZ, Santos JR;
- Page 167 and 168:
shore wind turbines have yet been b
- Page 169 and 170:
T2-D.3 Rypinski AD, Cantral R; Arth
- Page 171 and 172:
time and temperature, determining t
- Page 173 and 174:
esponse to requests from the EC, th
- Page 175 and 176:
ers and inspectors. Analysis examin
- Page 177 and 178:
smoked salmon, and associated expos
- Page 179 and 180:
and 95th percentiles). Increasing t
- Page 181 and 182:
esponse relationship for B. anthrac
- Page 183 and 184:
variation on Day 0. Results showed
- Page 185 and 186:
sidered. The most significant resul
- Page 187 and 188:
lived in a apartment (not including
- Page 189 and 190:
W3-C.4 von Stackelberg KE; kvon@eri
- Page 191 and 192:
P.12 Waller RR, Dinis MF; rw@protec
- Page 193 and 194:
W2-B.6 Wang D, Collier Z, Mitchell-
- Page 195 and 196:
iomonitoring “equivalent” level
- Page 197 and 198:
T4-H.2 Winkel D, Good K, VonNiederh
- Page 199 and 200:
mation insufficiency, risk percepti
- Page 201 and 202:
choices. This work examines these s
- Page 203 and 204:
sults and possible intended or unin
- Page 205 and 206:
AAbadin HG.................... 36,
- Page 207 and 208:
Gray GM............................
- Page 209 and 210:
Peters E...........................
- Page 211 and 212:
SECOND FLOOR Floor MapConvention Ce