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Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

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SRA 2013 Annual Meeting <strong>Abstracts</strong><br />

W2-H.3 Nilsen, M*; Hawkins, B; Cox, J; Gooding, R; Whitmire,<br />

M; Battelle Memorial Institute and the Department of<br />

Homeland Security Chemical Security <strong>Analysis</strong> Center;<br />

nilsenm@battelle.org<br />

Conquering the Iron Triangle of SME Elicitation<br />

The Chemical Terrorism <strong>Risk</strong> Assessment (CTRA) is a DHS<br />

CSAC funded program that estimates the risk among chemical<br />

terrorism attack scenarios and assists in prioritizing mitigation<br />

strategies. The CTRA relies on Subject Matter Expert (SME)<br />

elicitation of Law En<strong>for</strong>cement and Intelligence Communities to<br />

quantify the threat and vulnerability parameters associated<br />

with various attack scenarios, as well as the capabilities of<br />

terrorist organizations. The term “Iron Triangle” is frequently<br />

used to describe situations with three interconnected<br />

constraints in which one constraint cannot be changed without<br />

changing at least one of the other constraints. One canonical<br />

example of this concept is the Iron Triangle of project<br />

management: Scope, Schedule and Budget. The challenges of<br />

SME elicitation can also be characterized as an Iron Triangle of<br />

Level of Detail, Data Quality, and SME Fatigue. Level of Detail<br />

in this context can be defined as the resolution of the elicitation<br />

results with respect to capturing intricacies and dependencies<br />

among the components of attack scenarios. Data Quality in<br />

elicitation terms can be defined as the level to which the results<br />

accurately capture the analysts’ opinions. SME Fatigue is a<br />

commonly used term in elicitations referring to the level of<br />

ef<strong>for</strong>t, measured in both hours and number of in-person<br />

meetings, required <strong>for</strong> an SME to participate. Innovative<br />

techniques, such as interactive tools, utility models, and<br />

YouTube-style video clips, are discussed as methods to conquer<br />

the Iron Triangle of elicitation and improve both the level of<br />

detail and quality of data, while reducing SME fatigue. The<br />

impact of these techniques will be highlighted by comparing<br />

past CTRA elicitation procedures with more recent CTRA<br />

elicitation techniques.<br />

W3-K.1 North, DW; NorthWorks, Inc. ;<br />

northworks@mindspring.com<br />

Probability theory <strong>for</strong> inductive reasoning: The<br />

"necessarist" viewpoint as an alternative, and<br />

supplement, to subjective probability.<br />

Many practitioners of decision analysis (applied Bayesian<br />

decision theory) regard its foundation <strong>for</strong> the use of probability<br />

theory as the axiomatization by Leonard J. Savage, and the<br />

procedure <strong>for</strong> assessing probabilities as subjective judgment in<br />

choosing among wagers. Another tradition, the “necessarist”<br />

approach, views probability theory as the logic <strong>for</strong> scientific<br />

inference. That is, judgments are in principle built up from<br />

available in<strong>for</strong>mation using an explicit <strong>for</strong>mal process, rather<br />

than dependent on the individual cognition of subjects as the<br />

source <strong>for</strong> the probability judgments - with the multiple<br />

potentials <strong>for</strong> biases that have been explored in psychological<br />

research. The basis <strong>for</strong> the necessarist approach can be found<br />

in the writings of Laplace, two centuries ago. Early twentieth<br />

century scholars include economist John Maynard Keynes and<br />

geophysicist Harold Jeffreys. Later contributors include Bruno<br />

de Finetti, physicist Richard T. Cox, and physicist E.T. Jaynes,<br />

whose 2003 book, Probability Theory: The Logic of Science<br />

provides one of the best recent expositions of the necessarist<br />

viewpoint. We review this history and provide an overview of<br />

how symmetry or invariance, generalizations of Laplace’s<br />

Principle of Insufficient Reason, can provide the basis <strong>for</strong><br />

choosing probabilities in a way that avoids recourse to<br />

subjective judgments about wagers.<br />

P.86 Ohkubo, C; Japan EMF In<strong>for</strong>mation Center;<br />

ohkubo@jeic-emf.jp<br />

<strong>Risk</strong> Communication Activities of Health <strong>Risk</strong>s by the<br />

Japan EMF In<strong>for</strong>mation Center<br />

In response to the World Health Organization (WHO)’s<br />

publication of the Environmental Health Criteria monograph<br />

(EHC) No. 238 and WHO Fact Sheet No. 322 on extremely low<br />

frequency (ELF) electromagnetic fields, the Japanese Ministry<br />

of Economy, Trade and Industry (METI) set up a Working<br />

Group on Electric Power Facility and EMF Policy in June 2007.<br />

The Working Group compiled their report in which their<br />

recommendations to the METI were incorporated. To address<br />

issues related to potential long-term effects of ELF-EMF, the<br />

Working Group recommended that a neutral and permanent<br />

EMF in<strong>for</strong>mation centre should be established to promote risk<br />

communication and facilitate peoples’ understanding based on<br />

scientific evidences. In response to this recommendation, the<br />

Japan EMF In<strong>for</strong>mation Centre (JEIC) was established in July<br />

2008. JEIC is financed from donations by stakeholders. The<br />

Administration Audit Committee was founded in order to ensure<br />

and monitor the neutrality and transparency of JEIC operations.<br />

The JEIC institutional system is determined to develop itself<br />

into a world-class risk communication center with expertise in<br />

EMF. JEIC’s philosophy and purpose are to provide<br />

easy-to-understand scientific in<strong>for</strong>mation on EMF and its health<br />

effects and minimize the gap of risk perception among<br />

stakeholders and promote risk communication from a fair<br />

perspective. JEIC’s activities to achieve its purposes include<br />

(1)Creating an EMF in<strong>for</strong>mation database including EMF<br />

research database, (2)Communication with mass media,<br />

(3)Organizing public meetings, (4)Q&A by telephone and<br />

emails.<br />

P.117 Ohno, K*; Asami, M; Matsui, Y; National Institute of<br />

Public Health, National Institute of Public Health, Hokkaido<br />

University, Japan; ohno-k@niph.go.jp<br />

Questionnaire survey on water ingestion rates <strong>for</strong> various<br />

types of liquid and the seasonal differences between<br />

summer and winter<br />

Water ingestion rates not only from community water supply<br />

but also from commercial beverages were surveyed to obtain<br />

the water ingestion rates <strong>for</strong> various types of water and to<br />

investigate the seasonal differences. The surveys were<br />

conducted during winter and summer in 2012. As a general<br />

population of the ages 20–79 in Japan, members of an Internet<br />

research company were invited and 1188 individuals in winter<br />

and 1278 in summer responded. The respondents were asked to<br />

record the daily water intake volume of each kind of water in<br />

arbitrary two working days and one non-working day during the<br />

research period. The kinds of water were non-heated and<br />

heated tap water as a beverage, soup made from tap water,<br />

bottled water, and commercial beverage including alcoholic<br />

drinks. There were no much differences of water ingestion rate<br />

among the three days; the first day’s results were presented<br />

hereafter. The mean water intakes from all kinds of water in<br />

summer and winter were 1936 and 1638 mL/day, respectively<br />

(95%iles: 3570 and 2900 mL/day). The mean water intake in<br />

summer is 1.2 times greater than in winter. Nevertheless, the<br />

mean water intakes from tap water including soup in summer<br />

and winter were 1159 and 1124 mL/day, respectively (95%iles:<br />

2400 and 2200 mL/day); there were small seasonal differences.<br />

The main component that caused seasonal differences was the<br />

commercial beverage. The mean intakes in summer and winter<br />

were 635 and 437 mL/day, respectively (95%iles: 2500 and<br />

1200 mL/day). With respect to tap water intake, large seasonal<br />

differences of non-heated water were observed. The mean<br />

intake in summer was 2.1 times greater than in winter (545 and<br />

255 mL/day; 95%iles: 1676 and 950 mL/day). As conclusions,<br />

seasonal differences of water intake should be considered in<br />

risk assessment, especially in microbial risk assessment; the<br />

default water ingestion rate of 2 L/day may not always be most<br />

appropriate in risk assessment depending on the types of water<br />

taken into account.<br />

December 8-11, 2013 - Baltimore, MD

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