W2-B.5 Wambaugh JF; Wambaugh.John@epa.govUS Environmental Protection AgencyHIGH-THROUGHPUT EXPOSURE POTENTIAL PRIORITIZATIONFOR TOXCAST CHEMICALSThe U.S. EPA must consider lists of hundreds to thousands of chemicals whenprioritizing research resources in order to identify risk to human populations andthe environment. High-throughput assays to identify biological activity in vitro haveallowed the ToxCastTM program to identify potential chemical hazard, but withoutsimilar assessment of potential <strong>for</strong> exposure, high-throughput risk assessment <strong>for</strong>chemicals with no other available in<strong>for</strong>mation cannot be completed. Using models(USEtox and RAIDAR) identified by the EPA Exposure-Based Prioritization Challengenearly 1000 ToxCast chemicals have been prioritized with respect to far-fieldexposure potential (e.g. partitioning into environmental media). The ToxCast (PhaseI and II) chemicals include industrial compounds, pesticides, and pharmaceuticals thatfailed in human trials, all of which have been tested in over 500 dose-response assays<strong>for</strong> potential bioactivity. For most of these chemicals, the descriptors necessary <strong>for</strong>fate and transport modeling (i.e. model parameters) were not available and had tobe predicted based upon structure using Episuite and QikProp (accessed throughthe Aggregated Computational Toxicology Resource - https://actor.epa.gov). Theprioritizations (i.e. rank order) of the two models will be compared with each otheras well as ground-truthed with respect to exposures inferred from the Centers <strong>for</strong>Disease Control National Health and Nutrition Examination Survey (NHANES),pesticide residues, and other similar data sources. This abstract does not necessarilyreflect U.S. EPA policy.190T4-A.1 Wang JS, Jung SC, Kim SY, Jung JY; seoyongkim@ajou.ac.krAjou UniversitySEARCHING FOR DETERMINANT AND CHANGE IN ATTITUDETOWARD NANOTECHNOLOGYOur study empirically analyzes the determinant and change in risk perceptionand acceptance toward nanotechnology which is one of emerging new technologies.First, in risk perception studies about nanotechnology, lot of existing researches havefocused on role of sociodemograhpic variables such as age (older people tend toagree with nanotechnology, Bainbridge, 2002) and gender (women did less supportnanotech, Scheufele & Lewenstein, 2005; Brossard et al., 2009) or social constructedvariables such as trust (Cobb & Macoubrie, 2004: Seigrist et al., 2007a), knowledge(Scheufele & Lewenstein, 2005), religiosity (Scheufele et al., 2008) and affect’s role innanotechnology (Seigrist et al., 2007b) in judging the acceptance or the risk/benefitfrom nanotechnology. However, those studies have focused partially only on any onesor other factors among lot of determinants. Hence it needs more balanced approachesthat include all of related variables. Second, although there are lot of studies searching<strong>for</strong> static determinants of attitude <strong>for</strong> nanotechnology, there are very few studiesto discover how such attitude can be changed by external stimuli and conditions Toknow the possibility of attitude change rated with nanotechnology, by adopting thesurvey experiment, we provide, to the respondents, the two persuasive stimuli - mitigatingthe perceived risk and increasing the benefit about nanotechnology. Then wecompare the original risk/benefit structures with them which are measured after givingthose stimuli (change structure). By them, we could know the possibility of attitudechange. Then, we find out the determinants <strong>for</strong> such change structure by settingchange structure as a dependent variables and the social demographic or constructedvariables as predictors. To examine two research topics, we analyze the data (numberof sample=1,000) collected by social survey. We believe that our research will find outthe variant determinants and change structures about acceptance or risk perceptiontoward nanotechnology.M4-I.4 Wang C, Jamshidi T, Bier VM; bier@engr.wisc.eduUniversity of Wisconsin-MadisonEXPERT ELICITATION OF ADVERSARY PREFERENCES USING OR-DINAL JUDGMENTS: METHODOLOGY AND APPLICATIONSIn this presentation, we first outline our methodology <strong>for</strong> using ordinal judgmentsfrom intelligence experts (e.g., partial rank orderings of potential terrorist attackstrategies) as a basis <strong>for</strong> inferring probability distributions <strong>for</strong> uncertain adversarypreferences using probabilistic inversion. We model the defender’s uncertainty aboutthe attacker’s preferences by probability distributions over both the weights assignedby the attacker to various attributes in a multiple-attribute utility function, and alsothe possibility of unobserved attributes that may be important to the attacker, butare unknown or unobserved by the defender. We then apply this methodology to aset of attack scenarios using a realistic set of attacker attributes (rather than simplisticattacker objective functions, such as “maximize fatalities”). We compare our resultsto those of other available elicitation methodologies. Compared to other methodologies,the use of probabilistic inversion is found to reduce the time and difficultyinvolved in the elicitation process, by making it possible to infer estimates of adversaryattribute weights from a limited number of ordinal judgments of scenario attractiveness.This approach may also contribute to greater acceptance of quantitativemethods within the intelligence community.
W2-B.6 Wang D, Collier Z, Mitchell-Blackwood J, Keisler J, Linkov I; daisyw@andrew.cmu.eduCarnegie Mellon University, US Army Engineer Research and Development Center, US EnvironmentalProtection Agency, University of Massachusetts, IL-US Army Engineer Research andDevelopment CenterUSING MULTICRITERIA DECISION ANALYSIS (MCDA) TO PRIORI-TIZE THE EXPOSURE POTENTIAL OF EXISTING AND EMERGINGCHEMICALSIn the United States (U.S.) and the European Union (EU), manufacturing processesconsume tens of thousands of different chemical substances. Not only is theexposure potential <strong>for</strong> the majority of these substances unknown, but there is alsolittle data to make exposure predictions. Regulatory agencies in the U.S. and EU areinterested in developing high-throughput screening level tools which would be ableto predict exposure potential <strong>for</strong> multiple chemical compounds and per<strong>for</strong>m underconditions of high in<strong>for</strong>mation uncertainty. Different exposure models (e.g., LIST)are currently available to assess and prioritize the exposure potential of chemicals, yetthese models require a substantial volume of in<strong>for</strong>mation. Specifically, parameterizationis required <strong>for</strong> a number of linked process model components to characterizesource, fate-and-transport, distribution in environmental media and finally exposureas a result of human activity and usage. Moreover, the <strong>for</strong>mer processes are oftendriven by predictive models used to ascertain chemical properties (i.e. QSAR). Inherentuncertainty in the structure of these model could result in variability in predictionsof these driving factors. This presentation introduces a Multi-Criteria Decision<strong>Analysis</strong> (MCDA) framework to prioritize the exposure potential of chemicals, whichintegrates expert judgment with available data on chemical properties. MCDA is aclass of systematic methods used to evaluate alternatives that must be compared onmultiple criteria or factors. To develop this framework, the most important parametersof the various models utilized in the EPA Exposure Challenge were made tocreate a generalized, adaptive, and parsimonious model.W2-I.4 Watt JM, Fay N; j.watt@mdx.ac.ukMiddlesex University, London, UK, Treework Environmental Practice, Bristol, UKSTAKEHOLDER ENGAGEMENT IN PRACTICE - THE EXPERIENCEOF THE NATIONAL TREE SAFETY GROUP IN THE DEVELOPMENTOF A NATIONALLY RECOGNISED APPROACH TO TREE SAFETYMANAGEMENT IN THE UKResearch has demonstrated that the overall risk to the public from falling treeswas extremely low, representing about a 1 in 10 million chance of an individual beingkilled in any given year, which means that the risk falls well into the broadly acceptablezone of the Health and Safety Executives (HSEs) Tolerability of <strong>Risk</strong> (TOR)Framework (2001). The research also showed that there is limited societal concernabout risks of this type (although there may be adverse publicity in the immediateaftermath of an individual incident). The analysis indicated that trying to furtherreduce such a small risk is exceptionally difficult given that there may be as many as4 billion trees in the UK and that it would be unlikely that adjustments to the currentmanagement regime would reduce the risk the health and safety in any significantway. Nonetheless, there was concern that some individuals may continue to berisk averse and defensive in their management of tree safety due in large part to afear of prosecution. A stakeholder <strong>for</strong>um, the National Tree Safety Group (NTSG),there<strong>for</strong>e emerged to develop a nationally recognised approach to tree safety management.This paper looks at the <strong>for</strong>mation and progress of the NTSG and revealsthe emergence of a number of conflicting viewpoints and the way in which they wereaccommodated. The NTSG drew on parallel developments in relation to public safetyin non-work environments and advocated that the evaluation of what is reasonableshould be based upon a balance between benefit and risk. This calculation can onlybe undertaken in a local context, since trees provide many different types of benefitin a range of different circumstances. Thus the NTSG sought to move <strong>for</strong>ward ontwo fronts - firstly an engagement with the Health and Safety Executive (HSE) andsecondly to provide guidance towards management that is proportionate to the actualrisks posed by trees.W2-G.4 Weinrich AJ, Jinot J; weinrich.alan@epa.govUS Environmental Protection Agency National Center <strong>for</strong> Environmental AssessmentUSE OF WORKER EPIDEMIOLOGICAL DATA TO ASSESS INHALA-TION RISK FROM 2-MERCAPTOBENZOTHIAZOLE2-Mercaptobenzothiazole (MBT) is used in the production of rubber productsand as a microbiocide preservative. The only inhalation exposure guidance arethe American Industrial Hygiene Association (AIHA) Workplace EnvironmentalExposure Level (WEEL) 8-hour time-weighted average (TWA) of 5 mg/m3, derivedfrom oral toxicity data, and the German Maximum Concentration Value in theWorkplace (MAK) TWA of 4 mg/m3, based on a conclusion that MBT inhalationwas without detectable health effects. Both exposure guidelines note MBT is a skinsensitizer, while the AIHA WEEL also indicates systemic risks from skin absorption.Oral exposure data indicate evidence of liver tumors in mice, and hematopoietic, pituitary,adrenal, pancreatic, preputial, and subcutaneous tissue neoplasms in rats. Serialepidemiological studies in worker populations from West Virginia (USA) and northWales (United Kingdom) have suggested exposure to MBT might increase the risk ofseveral cancers. However, coexposure to other workplace carcinogens has impededevaluation of cancer risks from MBT. In 2009, Sorahan reevaluated data from theworker population in Wales and identified a subset of 363 workers <strong>for</strong> whom risks oflung and colon cancer and multiple myeloma could be adjusted to account only <strong>for</strong>MBT exposure. The lung cancer data did not exhibit a dose-response trend and only191
- 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 and 30:
10:30 AM-NoonRoom 8/9T2-F Error in
- 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: P.12 Waller RR, Dinis MF; rw@protec
- 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