Risk-based prioritization of the Idaho National Engineering Laboratory Environmental Programs

This paper describes an application of a formal prioritization system to help the Idaho National Engineering Laboratory (INEL) allocate funds for environmental projects. The system, known as the Laboratory Integration and Prioritization System (LIPS), was jointly developed by Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), Sandia National Laboratories (SNL), and the US Department of Energy (DOE). LIPS is based on a formal approach for multi-criteria decision-making known as multiattribute utility analysis. The system is designed to provide a logical, practical, and equitable means for estimating and comparing the benefits to be obtained from funding project work

Multiattribute utility analysis as a framework for public participation siting a hazardous waste facility

How can the public play a role in decisions involving complicated scientific arguments? This paper describes a public participation exercise in which stakeholders used multiattribute utility analysis to select a site for a hazardous waste facility. Key to success was the ability to separate and address the two types of judgements inherent in environmental decisions: technical judgements on the likely consequences of alternative choices and value judgements on the importance or seriousness of those consequences. This enabled technical specialists to communicate the essential technical considerations and allowed stakeholders to establish the value judgements for the decision. Although rarely used in public participation, the multiattribute utility approach appears to provide a useful framework for the collaborative resolution of many complex environmental decision problems

A successful effort to involve stakeholders in the selection of a site for a corrective action management unit

As part of the effort to clean up hazardous waste sites, Sandia National Laboratories in New Mexico (SNL/NM) adopted a novel approach to involving stakeholders in a key decision associated with its Environmental Restoration (ER) Project. The decision was where to locate a Corrective Action Management Unit (CAMU), an area designed to consolidate, store, and treat wastes generated from cleanup activities. The decision-making approach was a variation of a technique known as multiattribute utility analysis (MUA). Although MUA has rarely been undertaken during normal Project activities, it proved to be a surprisingly effective means for involving stakeholders in the decision process, generating consensus over a selected site, and enhancing public trust and understanding of Project activities. Requirements and criteria for selecting CAMU sites are provided by the Environmental Protection Agency`s (EPA`s) CAMU Final Rule (EPA 1993). Recognizing the lack of experience with the Rule and the importance of community understanding and support, the ER Project sought an approach that would allow stakeholders to participate in the site-selection process

Effect of information formats on information services: analysis of four selected agricultural commodities in the USA

We analyze sources of information in agricultural markets to understand patterns of demand for decision support services and the division of labor in the supply of these services. Information formatting-qualitative variation that determines accessibility and relevance of information in specific contexts-prohibits universal access to informational content. Information formats give rise to both transaction costs and complementarities reflected in patterns of information exchange in commodity systems. Controlling for actors' structural roles and levels of education, we develop a hedonic model of information demand such that actors seek information that is formatted to meet their needs and capabilities. Employing survey data, we explain elements of observed patterns of information exchange in four commodity systems in the USA. Results point to opportunities to expand our understanding of socioeconomic processes underlying production and consumption of decision support. Copyright 2006 International Association of Agricultural Economists.