Multi-Criteria Decision Analysis

Linkov, Igor; Moberg, Emily

doi:10.1201/b11471

Cited by 121 publications

(36 citation statements)

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“…Such work aligns to the goals of responsible research and innovation to “effectively evaluate both outcomes and options in terms of societal needs and moral values,” in order to establish a “collective, inclusive, and system-wide approach” to the design and development of new technologies [47]. The SRES approach may also be furthered by integrating expert-derived data into other multi-criteria decision analytic frameworks [15]. Such MCDA frameworks can assist policymakers with assessing multiple alternative policy options regarding the anticipated governance of SB applications.…”

Section: Discussionmentioning

confidence: 99%

“…Another concept in the literature, “prevention-focused governance” [14] aligns with anticipatory governance but also suggests the use of multi-criteria decision analysis (MCDA) to support risk governance of emerging technologies through a multi-criteria assessment of the trade-offs of the technology prototype compared to existing alternatives [15]. MCDA involves the use of methods and tools to measure and integrate several criteria into decision making.…”

Section: Introductionmentioning

confidence: 99%

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Societal Risk Evaluation Scheme (SRES): Scenario-Based Multi-Criteria Evaluation of Synthetic Biology Applications

Cummings

Kuzma

2017

PLoS ONE

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Synthetic biology (SB) applies engineering principles to biology for the construction of novel biological systems designed for useful purposes. From an oversight perspective, SB products come with significant uncertainty. Yet there is a need to anticipate and prepare for SB applications before deployment. This study develops a Societal Risk Evaluation Scheme (SRES) in order to advance methods for anticipatory governance of emerging technologies such as SB. The SRES is based upon societal risk factors that were identified as important through a policy Delphi study. These factors range from those associated with traditional risk assessment, such as health and environmental consequences, to broader features of risk such as those associated with reversibility, manageability, anticipated levels of public concern, and uncertainty. A multi-disciplinary panel with diverse perspectives and affiliations assessed four case studies of SB using the SRES. Rankings of the SRES components are compared within and across the case studies. From these comparisons, we found levels of controllability and familiarity associated with the cases to be important for overall SRES rankings. From a theoretical standpoint, this study illustrates the applicability of the psychometric paradigm to evaluating SB cases. In addition, our paper describes how the SRES can be incorporated into anticipatory governance models as a screening tool to prioritize research, information collection, and dialogue in the face of the limited capacity of governance systems. To our knowledge, this is the first study to elicit data on specific cases of SB with the goal of developing theory and tools for risk governance.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Societal Risk Evaluation Scheme (SRES): Scenario-Based Multi-Criteria Evaluation of Synthetic Biology Applications

Cummings

Kuzma

2017

PLoS ONE

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“…For all decision models, the alternative placements were compared on their performance on metrics that addressed environmental improvement, climate regulation, nutrient sequestration, research support, and navigational support services (Figure ). The relative utility was calculated using the multi‐attribute value theory set at a local scale (i.e., the range of scores reported) for each metric (Linkov and Moberg ). The reported score was normalized with the highest value given a score of 1, and the lowest value given a 0.…”

Section: Methodsmentioning

confidence: 99%

Quantifying Wildlife and Navigation Benefits of a Dredging Beneficial‐Use Project in the Lower Atchafalaya River: A Demonstration of Engineering with Nature®

Foran

Burks-Copes

Berkowitz

et al. 2018

Integr Envir Assess & Manag

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The US Army Corps of Engineers (USACE) operates and maintains numerous projects in support of its various civil works missions including flood damage risk reduction, navigation, and ecosystem restoration. Originally authorized on an economic basis, these projects may produce a broad array of unaccounted for ecosystem services (ESs) that contribute to overall human, societal, and environmental well-being. Efforts are underway to capture the full array of environmental, economic, and social impacts of these projects. Methods are needed to identify relevant ESs generated by these nature-based projects and to measure their contribution to societal well-being with an emphasis placed on use of readily available data. Performance metrics were collected to capture the benefits of strategic placement of dredged material in river systems to allow formation of islands that produce a wide array of ESs. These performance metrics can be converted to ESs with market value or combined in a decision analytical approach to demonstrate the relative gain in utility. This approach is demonstrated on a riverine island created on the Atchafalaya River, Louisiana, as a result of the strategic placement of dredged material. The outcomes foster integration of ES assessment into project design and management practices and support more comprehensive project evaluation and widespread application. Integr Environ Assess Manag 2018;14:759-768. Published 2018. This article is a US Government work and is in the public domain in the USA.

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“…These methods, according to Al-Shalabi et al (2006), incorporate explicit statements of preferences of decisionmakers which are represented by various quantities, weighting schemes, constraints, goals, utilities and other parameters. Multi-criteria Decision Making (MCDM) methods utilise a decision matrix to provide a systematic analytical approach for integrating risk levels, uncertainty and valuation, which enables evaluation and ranking of many alternatives (Linkov and Steevens, 2003). MCDM overcomes the limitations of less structured methods such as comparative risk assessment (CRA), which suffers from the unclear way in which it combines performance on criteria (see Bridges et al, 2005 for more information on CRA).…”

Section: Multi-criteria Location Modellingmentioning

confidence: 99%

Infrastructure Location

Samuel

2010

Journal of Infrastructure Development

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The environment of infrastructure location decision-making is in a flux: new thinking, ideologies, social and environmental awareness coupled with political expediencies and economic imperatives are constantly changing the weights of factors considered in location decision making. As expected, existing models built on the pillars of profit maximisation and assumption of homo economicus-though still important-no longer capture the reality of the present situation in infrastructure location decisions. This article traces the trends in infrastructure (facility) location decision modelling and identifies productive areas of research that incorporate the oft-neglected factors of environment, politics and sociocultural values into the location decision models.

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Multi-Criteria Decision Analysis

Cited by 121 publications

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Societal Risk Evaluation Scheme (SRES): Scenario-Based Multi-Criteria Evaluation of Synthetic Biology Applications

Societal Risk Evaluation Scheme (SRES): Scenario-Based Multi-Criteria Evaluation of Synthetic Biology Applications

Quantifying Wildlife and Navigation Benefits of a Dredging Beneficial‐Use Project in the Lower Atchafalaya River: A Demonstration of Engineering with Nature®

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