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1991, Technological Forecasting and Social Change
A variation on the conventional Delphi was used to assemble an informational summary of expert opinion regarding the risks involved with the application of sewage sludge to farmland. The aim was to reduce uncertainties surrounding the associated health and environmental risks so agreement among citizens, farmers, and regulators could be reached. An expert panel was assembled for one day to take part in a structured communication process modeled after the Delphi. A Two-part questionaire using Likert scaling and open questions was iterated among rotating subgroups to build consensus and define disagreement. Plenary discussions were held between iterations to foster peer review.There was consensus about the risks of heavy metals, pathogens, and nutrients; but clear disagreement about the risk of organic toxins. Existing state regulations were deemed inadequate only for lead and some organic toxins. Expert quantitative ratings were found to differ radically for two hypothetical contexts: academic and public.
Risk Analysis, 2007
Expert panels and averaging procedures are common means for coping with the uncertainty of effects of technology application in complex environments. We investigate the connection between confidence and the validity of expert judgment. Moreover, a formative consensus building procedure (FCB) is introduced that generates probability statements on the performance of technologies, and we compare different algorithms for the statistical aggregation of individual judgments. The case study refers to an expert panel of 10 environmental scientists assessing the performance of a soil cleanup technology that uses the capability of certain plants to accumulate heavy metals from the soil in the plant body (phytoremediation). The panel members first provided individual statements on the effectiveness of a phytoremediation. Such statements can support policymakers, answering the questions concerning the expected performance of the new technology in contaminated areas. The present study reviews (1) the steps of the FCB, (2) the constraints of technology application (contaminants, soil structure, etc.), (3) the measurement of expert knowledge, (4) the statistical averaging and the discursive agreement procedures, and (5) the boundaries of application for the FCB method. The quantitative statement oriented part of FCB generates terms such as: "The probability that the concentration of soil contamination will be reduced by at least 50% is 0.8." The data suggest that taking the median of the individual expert estimates provides the most accurate aggregated estimate. The discursive agreement procedure of FCB appears suitable for deriving politically relevant singular statements rather than for obtaining comprehensive information about uncertainties as represented by probability distributions.
1991
A variation on the conventional Delphi was used to assemble an informational summary of expert opinion regarding the risks involved with the application of sewage sludge to farmland. The aim was to reduce uncertainties surrounding the associated health and environmental risks so agreement among citizens, farmers, and regulators could be reached. An expert panel was assembled for one day to take part in a structured communication process modeled after the Delphi. A two-part questionnaire using Likert scaling and open questions was iterated among rotating subgroups to build consensus and define disagreement. Plenary discussions were held between iterations to foster peer review. There was consensus about the risks of heavy metals, pathogens, and nutrients; but clear disagreement about the risks of organic toxins. Existing state regulations were deemed inadequate only for lead and some organic toxins. Expert quantitative ratings were found to differ radically for two hypothetical contexts: academic and public. Statement of the Problem: Decision Under Uncertainty Rarely do decision makers feel they have enough information available to make a decision about which they can be confident. Among regulators, politicians, managers, and public officials, considerable effort is expended in reducing uncertainty surrounding decisions. Uncertainty reflects incomplete knowledge. Depending on the type of knowledge, different techniques have proved effective at resolving uncertainties. Uncertain knowledge about factual evidence (random error, statistical error) can be resolved by scientific methodology and the peer review process, whereas uncertain knowledge about values (social priorities or preferences) can be reduced by political discourse or democratic voting procedures. But the domains of these two procedures to reduce uncertainty are not inclusive to all kinds of knowledge. Uncertainties about predicting future events and uncertainties
2000
Decision analysts are frequently called on to help inform decisionmakers in situations where there is considerable uncertainty. In such situations, expert elicitation of parameter values is frequently used to supplement more conventional research. This paper develops a formal protocol for expert elicitation with large, heterogeneous expert panels. We use formal survey methods to take advantage of variation in individual expert uncertainty and heterogeneity among experts as a means of quantifying and comparing sources of uncertainty about parameters of interest. We illustrate use of this protocol with an expert elicitation on the distribution of U.S. foodborne illness from each of 11 major foodborne pathogens to the consumption of one of 11 categories of food. Results show how multiple measures of uncertainty, made feasible by use of a large panel of experts, can help identify which of several types of risk management actions may be most appropriate.
Reliability Engineering & System Safety, 2008
This article looks at a new approach to expert elicitation that combines basic elements of conventional expert elicitation protocols with formal survey methods and larger, heterogeneous expert panels. This approach is appropriate where the hazard-estimation task requires a wide range of expertise and professional experience. The ability to judge when to rely on alternative data sources often is critical for successful risk management. We show how a large, heterogeneous sample can support internal validation of not only the experts' assessments but also prior information that is based on limited historical data. We illustrate the use of this new approach to expert elicitation by addressing a fundamental problem in U.S. food safety management, obtaining comparable food system-wide estimates of the foodborne illness by food-pathogen pair and by food. The only comprehensive basis for food-level hazard analysis throughout the U.S. food supply currently available is outbreak data (i.e., when two or more people become ill from the same food source), but there is good reason to question the portrayal that outbreak data alone gives of food risk. In this paper, we compare results of food and food-pathogen incidence estimates based on expert judgment and based on outbreak data, and we demonstrate a suite of uncertainty measures that allow for a fuller understanding of the results.
Environmental Health, 2010
The Delphi technique provides different opportunities to researchers than survey research. Essential components of the Delphi technique include the communication process, a group of experts, and essential feedback. This paper provides the foundations of the Delphi Technique, discusses its strengths and weaknesses, explains the use and stages followed, discusses panel selection, and explains how consensus among participants is reached.
Risk Analysis, 2002
This paper presents a protocol for a formal expert judgment process using a heterogeneous expert panel aimed at the quanti®cation of continuous variables. The emphasis is on the process's requirements related to the nature of expertise within the panel, in particular the heterogeneity of both substantive and normative expertise. The process provides the opportunity for interaction among the experts so that they fully understand and agree upon the problem at hand, including qualitative aspects relevant to the variables of interest, prior to the actual quanti®cation task. Individual experts' assessments on the variables of interest, cast in the form of subjective probability density functions, are elicited with a minimal demand for normative expertise. The individual experts' assessments are aggregated into a single probability density function per variable, thereby weighting the experts according to their expertise. Elicitation techniques proposed include the Delphi technique for the qualitative assessment task and the ELI method for the actual quantitative assessment task. Appropriately, the Classical model was used to weight the experts' assessments in order to construct a single distribution per variable. Applying this model, the experts' quality typically was based on their performance on seed variables. An application of the proposed protocol in the broad and multidisciplinary ®eld of animal health is presented. Results of this expert judgment process showed that the proposed protocol in combination with the proposed elicitation and analysis techniques resulted in valid data on the (continuous) variables of interest. In conclusion, the proposed protocol for a formal expert judgment process aimed at the elicitation of quantitative data from a heterogeneous expert panel provided satisfactory results. Hence, this protocol might be useful for expert judgment studies in other broad and/or multidisciplinary ®elds of interest.
2012
Many environmental and risk management decisions are made jointly by technical experts and members of the public. Frequently, their task is to select from among management alternatives whose outcomes are subject to varying degrees of uncertainty. Although it is recognized that how this uncertainty is interpreted can significantly affect decision-making processes and choices, little research has examined similarities and differences between expert and public understandings of uncertainty.
Environmental Modelling & Software, 2012
A decision-making process focusing on environmental issues is extremely complex because of the intricacy of the real-world systems. Such systems are subjected to many uncertain events, which make planning, modeling, and predicting performances and treatment inherently complicated. Typically, a decision-making process focusing on environmental problems is ill structured, uncertain, vague, and multidimensional and is often based on the opinions of experts with different viewpoints. A common problem is how to aggregate the opinions of experts, which might be diverse and sometimes even opposing. This paper presents a new method for aggregating experts' opinions and introduces a new aggregation operator MaxAgM, based on Shannon entropy, which maximizes the agreement of experts' opinions. Our method can be applied toward aggregating expert proposals that were expressed by crisp as well as fuzzy quantities to propose a binary solution or to estimate a numerical value of some parameter. A specialized software package MaxAgr was developed to optimize agreement drawn from experts' proposals. Application of the method and the software is illustrated in a case study on flood risk management.
Environmental Modelling & Software, 2012
The inevitable though frequently informal use of expert opinion in modelling, the increasing number of models that incorporate formally expert opinion from a diverse range of experience and stakeholders, arguments for participatory modelling and analytic-deliberative-adaptive approaches to managing complex environmental problems, and an expanding but uneven literature prompt this critical review and analysis. Aims are to propose common definitions, identify and categorise existing concepts and practice, and provide a frame of reference and guidance for future environmental modelling. The extensive literature review and classification conducted demonstrate that a broad and inclusive definition of experts and expert opinion is both required and part of current practice. Thus an expert can be anyone with relevant and extensive or in-depth experience in relation to a topic of interest. The literature review also exposes informal model assumptions and modeller subjectivity, examines in detail the formal uses of expert opinion and expert systems, and critically analyses the main concepts of, and issues arising in, expert elicitation and the modelling of associated uncertainty. It is noted that model scrutiny and use of expert opinion in modelling will benefit from formal, systematic and transparent procedures that include as wide a range of stakeholders as possible. Enhanced awareness and utilisation of expert opinion is required for modelling that meets the informational needs of deliberative fora. These conclusions in no way diminish the importance of conventional science and scientific opinion but recognise the need for a paradigmatic shift from traditional ideals of unbiased and impartial experts towards unbiased processes of expert contestation and a plurality of expertise and eventually models. Priority must be given to the quality of the enquiry for those responsible for environmental management and policy formulation, and this review emphasises the role for science to maintain and enhance the rigour and formality of the information that informs decision making.
Technological Forecasting and Social Change, 2021
We examined whether giving feedback to participants in a Delphi study about the level of agreement across the expert panel had an effect on opinion change between rounds. We also considered the potential influence of participants' sociodemographic and professional characteristics. Five three-round Delphi studies were conducted independently, in which a total of 628 mental health experts responded to all three rounds. In each study, participants had to decide, based on their experience, whether a series of categories were relevant. The percentage of group agreement (i.e., percentage of participants who considered each category as relevant) in round 2 was shown as feedback in round 3, and responses in rounds 2 and 3 were considered to analyze opinion change. Results showed that when the feedback given in round 3 indicated that ≥75% of experts considered a category to be relevant, there was a further shift in opinion towards the group opinion (i.e., the category then yielded even greater consensus), whereas if the feedback indicated <75% group agreement, individual opinions tended to shift against the group opinion (i.e., consensus over the category decreased). Neither sociodemographic nor professional variables had a significant effect in explaining opinion shift. These results show that in Delphi studies, feedback has an influence on individual responses and the achievement of consensus.
Journal of the Royal Statistical Society: Series D (The Statistician), 2000
This paper reports an experiment in which 32 experts at three water companies quanti®ed their opinions about two problems: the cost of refurbishing speci®ed pumping stations and the length of unrecorded S24 sewers in four towns. Medians and both unconditional and conditional assessments of quantiles were elicited and assessments were compared with reality and given scores. The quantiles that experts were asked to assess varied and the experts differed in the extent of their relevant background knowledge. The in¯uences of these factors on standard deviations and scores are examined. The main focus is on modelling methods and ways of using the elicited assessments to form subjective probability distributions. We consider ®tting log-normal distributions to model asymmetric distributions and also examine models to relate a quantity's assessed standard deviation and interquantile range to its size, ®nding that interquantile ranges can be modelled more accurately. In addition, different approaches to separating opinions about components of variance are evaluated and compared.
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communication process which aims to achieve a convergence of opinion on a specific real-world issue. The Delphi process has been used in various fields of study such as program planning, needs assessment, policy determination, and resource utilization to develop a full range of alternatives, explore or expose underlying assumptions, as well as correlate judgments on a topic spanning a wide range of disciplines. The Delphi technique is well suited as a method for consensus-building by using a series of questionnaires delivered using multiple iterations to collect data from a panel of selected subjects. Subject selection, time frames for conducting and completing a study, the possibility of low response rates, and unintentionally guiding feedback from the respondent group are areas which should be considered when designing and implementing a Delphi study.
Sustainability
Many of the techniques for making decisions, including land use, depend on the weight assigned for each criterion. These criteria can be based on a panel of experts’ opinions, who assess certain decisions’ influence on the final objectives. These opinions should be contrasted to decide if they are used or select the ones used to achieve an internal coherence. In this study, we evaluate the responses provided by an expert panel in the context of future environmental management of an agroforestry territory in the Salta Province (Argentina). The experts belong to different entities in the studied area, such as Universities, Research Centers, Administrative Authorities, Associations, and non-governmental organizations. They evaluated five productive techniques’ influence on 31 criteria related to environmental, social, and economic consequences. The Kendall’s Tau correlation coefficient between each pair of experts’ opinions is proposed to measure the rate of agreement among the expert ...
Cahiers du C3ED, 2006
This article proposes a selection of tools to assess the nature and the extent of uncertainty linked to knowledge production and use, in order to integrate uncertainty in processes of environmental evaluation.
Environmental Science & Policy, 2009
Land Use Policy, 2006
The combination of deliberative and analytical methods is supposed to have a high potential for the resolution of environmental conflicts. But selecting methods and tools for a specific case often remains nebulous. In this article, we evaluate different deliberative and analytical methods according to characteristics defined by Wittmer et al. (2004). We put a special focus on multi-criteria methods as these analytical methods are especially suited for participation. This evaluation identifies strengths and weaknesses of methods, and can ground the selection of one specific method (or the combination of several) on a systematic basis. A brief definition of the methods reported in this issue is given and these are evaluated. The next step consists of identifying which characteristics are most important in a specific case. Applying these two steps can guide the selection of methods for resolving environmental conflicts. We conclude that the combination of participatory and multi-criteria methods generally provides a good starting point for conflict facilitators looking for methods supporting the decision-aid process. r
2009
The daily operation of Wastewater Treatment Plants (WWTPs) in industrialized areas is of particular concern because of the severe problems that can occur in the WWTP caused by the incoming inflow, which in turn may cause an ecological imbalance in the fluvial ecosystem. In order to minimize the environmental impact caused by the industrial wastewater discharges, guidelines and regulations exists. However, due to the complexity of the domain, there are still no golden standards by which to decide whether a WWTP can cope with wastewater discharges, and so strict adherence to regulations may not always be convenient. Special circumstances may motivate to accept discharges that are above established thresholds or to reject discharges that comply with guidelines. Nonetheless, because of the criticality of the actions to be taken, such decisions require to be well justified. Hence, in this work it is proposed the use of the argumentation-based model Pro- CLAIM to provide a more flexible decision making process, in which expertise can deliberate whether an industrial wastewater can safely be discharged into a WWTP, and thus adapt each decision to the particular circumstance. To ensure a safe decision, agents’ given arguments for or against the industrial spill are evaluated accounting for the domain guidelines and regulations, for similar past cases and for confidence in the expertise’s assessments.
2017
Delphi is a powerful technique used to seek answers to appropriate questions. The purpose of this paper is to provide an overview of the Delphi technique as a research method. This paper discusses the scientific merit of the Delphi technique by investigating on 41 studies of Journal of Agricultural Education from 1981 to 2013, and 2 studies of Journal of Agricultural Science and Technology. The results showed that there is no general agreement on using indexes in different rounds of Delphi technique; however, according to the frequencies of using indexes in different studies, the following suggestions are presented. The favourable number of panel of experts is between 10 to 20. Purposive sampling method is used for selecting the panel members. Usually a three rounds of Delphi method is used. One question is designed in round one. Mean and standard deviation indexes are used for passing from round two to round three and agreement level of 70 present is used for achieving expert's...
Policy Studies Journal, 1999
This paper suggests that applications of watershed management planning would benefit from a theoretical consideration of the policymaking process. A conceptual schema from the field of risk analysis proposes that policymaking be conceived of as a combination of two types of activities: analysis and deliberation. We argue that these concepts are relevant to watershed management planning and we illustrate how a process successfully might integrate both kinds of activities into an iterative, participatory process that is informed competently with relevant knowledge and that promotes learning.
Risk Analysis, 1996
One of the main steps in an uncertainty analysis is the selection of appropriate probability distribution functions for all stochastic variables. In this paper, criteria for such selections are reviewed, the most important among them being any a priori knowledge about the nature of a stochastic variable, and the Central Limit Theorem of probability theory applied to sums and products of stochastic variables. In applications ofthese criteria, it is shown that many ofthe popular selections, such as the uniform distribution for a poorly known variable, require far more knowledge than is actually available. However, the knowledge available is usually sufficient to make use of other, more appropriate distributions. Next, functions of stochastic variables and the selection of probability distributions for their arguments as well as the use of different methods of error propagation through these functions are discussed. From these evaluations, priorities can be assigned to determine which of the stochastic variables in a function need the most care in selecting the type of distribution and its parameters. Finally, a method is proposed to assist in the assignment of an appropriate distribution which is commensurate with the total information on a particular stochastic variable, and is based on the scientific method. Two examples are given to elucidate the method for cases of little or almost no information.
Risk Analysis, 1995
Two methodological steps in the study of peoples' concerns are elicitation and classification. Elicitation of concerns through analytical methods such as surveys can be supplemented with techniques that perform more diversively. We present two examples of how this can be accomplished one in the expert community and one in the lay community. A classification taxonomy is a subjective choice of the researcher and it can only be evaluated against the stated objectives of the research. We present a classification schema that is explicitly oriented toward diagnosing the substantive needs of public discourses about risk decision making. To illustrate how concerns can be elicited in a social setting and how this classification tool can be applied, we report on a public participation exercise in New Jersey where citizens discussed the impacts of land application of sewage sludge at an experimental farm.
Marketing Intelligence & Planning, 2002
A hybrid approach for integrating group Delphi, fuzzy logic and expert systems for developing marketing strategies is proposed in this paper. Within this approach, the group Delphi method is employed to help groups of managers undertake SWOT analysis. Fuzzy logic is applied to fuzzify the results of SWOT analysis. Expert systems are utilised to formulate marketing strategies based upon the fuzzified strategic inputs. In addition, guidelines are also provided to help users link the hybrid approach with managerial judgement and intuition. The effectiveness of the hybrid approach has been validated with MBA & MA marketing students. It is concluded that the hybrid approach is more effective in terms of decision confidence, decision quality, group consensus, coupling analysis with judgement, etc.
The Journal of Clinical Pharmacology, 2013
A decision analysis tool is proposed for regulatory assessment of nonprescription drugs. The tool is based on evaluation of each of the drug's potential benefit and risk attributes identified using a value-tree framework. The decision tool is designed as two-factor, two-stage instrument. Each attribute is independently assessed based on both the frequency of occurrence and clinical impact of the attribute. Frequency and clinical impact are scored on a 0-3 scale where a 0 score means no occurrence or no clinical impact, and a 3 means high frequency of occurrence or high clinical impact. The tool is initially used early in drug development to facilitate communication amongst stakeholders and to identify important data gaps. After new data are generated during the development program the tool is used again across the same attributes to yield a final benefit-risk assessment. In both the early assessment and subsequent evaluation use of the Group-Delphi technique and a benefit-risk trade-off heuristic may yield more consistent and coherent outputs. The tool allows regulators to maintain flexibility with respect to how final decisions are made, yet allows specificity and transparency during the evaluation. Further modifications can be incorporated to address drug-specific requirements or regulatory preferences.
International Journal of Disaster Risk Science, 2015
Stakeholder involvement has been a major requirement for effective, efficient, and fair risk governance. Since risk management includes uncertain outcomes that affect different parts of the population to different degrees it is essential to integrate the knowledge, values, and interests of stakeholders into the risk policy making process. The article provides insights into how to structure and organize stakeholder participation and how to cope with the challenges of complexity, uncertainty, and ambiguity. For each of the three challenges there is a need for specific input from stakeholders. The article describes these requirements and explains the formats that have been tested for providing this input to the risk governance process. The five elements of risk governance (reproduced, with permission, from the IRGC Int J Disaster Risk Sci 9
Risk Analysis, 1999
Forests, 2011
This paper analyzes trends and possible future developments in global wood-product markets and discusses implications for the Swedish forest sector. Four possible futures, or scenarios, are considered, based on qualitative scenario analysis. The scenarios are distinguished principally by divergent futures with respect to two highly influential factors driving change in global wood-product markets, whose future development is unpredictable. These so-called critical uncertainties were found to be degrees to which: (i) current patterns of globalization will continue, or be replaced by regionalism, and (ii) concern about the environment, particularly climate change, related policy initiatives and customer preferences, will materialize. The overall future of the Swedish solid wood-product industry looks bright, irrespective of which of the four possible futures occurs, provided it accommodates the expected growth in demand for factory-made, energy-efficient construction components. The prospects for the pulp and paper industry in Sweden appear more ambiguous. Globalization is increasingly shifting production and consumption to the Southern hemisphere, adversely affecting employment and forest owners in Sweden. Further, technical progress in information and communication technology (ICT) is expected to lead to drastic reductions in demand for newsprint and printing paper. Chemical pulp producers may profit from a growing bio-energy industry, since they could manufacture new, high-value products in integrated bio-refineries. Mechanical pulp producers cannot do this, however, and might suffer from higher prices for raw materials and electricity.
Psychological Perspectives on Risk and Risk Analysis, 2018
We prove the absence of eigenvaues of the three-dimensional Dirac operator with non-Hermitian potentials in unbounded regions of the complex plane under smallness conditions on the potentials in Lebesgue spaces. Our sufficient conditions are quantitative and easily checkable.
International Journal of Contemporary Hospitality Management, 2012
PurposeThis paper's aim is to critically review the use of Delphi techniques in qualitative research for utilising “expert” opinions and to explore through a detailed example how Policy Delphi can be used by hospitality researchers as an alternative to the more widely used Normative Delphi.Design/methodology/approachThe paper reflects on the research methodology of a project that explored organisational crisis signals detection using Policy Delphi with a criterion sample comprising 16 senior hotel executives involved in crisis management.FindingsThe main methodological concerns regarding Delphi are the definition of consensus, the expertise of the panel, its lack of scientific rigour, and – due to its lack of uniformity – reliability and validity of findings. Policy Delphi by default addresses the first since it does not seek consensus and can, through its design and execution, address the remaining concerns.Research limitations/implicationsCarefully designed Policy Delphi can o...
F1000Research, 2022
Background: Accurate assessment of the welfare of non-human primates (NHPs) used and bred for scientific purposes is essential for effective implementation of obligations to optimise their well-being, for validation of refinement techniques and novel welfare indicators, and for ensuring the highest quality data is obtained from these animals. Despite the importance of welfare assessment in NHP research, there is little consensus on what should be measured. Greater harmonisation of welfare indicators between facilities would enable greater collaboration and data sharing to address welfare-related questions in the management and use of NHPs. Methods: A Delphi consultation was used to survey attendees of the 2019 NC3Rs Primate Welfare Meeting (73 respondents) to build consensus on which welfare indicators for macaques and marmosets are reliable, valid, and practicable, and how these can be measured. Results: Self-harm behaviour, social enrichment, cage dimensions, body weight, a health...
Sustainability
From a climate change perspective, the governance of natural common-pool resources—the commons—is a key point in the challenge of transitioning to sustainability. This paper presents the main strategic advances of the São Paulo Urban Living Laboratory (ULL) regarding Food, Energy and Water (FEW Nexus) analysis and modelling at the border of a high biodiverse forest in a peri-urban region in southeast Brazil. It is a replicable and scalable method concerning FEW governance. The FEW Nexus is an analytical guide to actions that will enable a colossal set of innovative processes that the transition to sustainability presupposes. Sustainable governance of the FEW dimensions, seen as an innovation-based process, is approached by a decision making tool to understand the past and future dynamics of the system. The governance framework is based on a multi-criteria and multi-attribute set of sustainability-relevant factors used as indicators to model complex system dynamics (SD) and the stake...
Materials, 2019
The shipbuilding industry shows a special interest in adapting to the changes proposed by the industry 4.0. This article bets on the development of an index that indicates the current situation considering that supply chain is a key factor in any type of change, and at the same time it serves as a control tool in the implementation of improvements. The proposed indices provide a first definition of the paradigm or paradigms that best fit the supply chain in order to improve its sustainability and a second definition, regarding the key enabling technologies for Industry 4.0. The values obtained put shipbuilding on the road to industry 4.0 while suggesting categorized planning of technologies.
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