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Eliciting Expert Knowledge in Conservation Science
Eliciting Expert Knowledge in Conservation Science
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Eliciting Expert Knowledge in Conservation Science
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Eliciting Expert Knowledge in Conservation Science
Eliciting Expert Knowledge in Conservation Science
Journal Article

Eliciting Expert Knowledge in Conservation Science

2012
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Overview
Expert knowledge is used widely in the science and practice of conservation because of the complexity of problems, relative lack of data, and the imminent nature of many conservation decisions. Expert knowledge is substantive information on a particular topic that is not widely known by others. An expert is someone who holds this knowledge and who is often deferred to in its interpretation. We refer to predictions by experts of what may happen in a particular context as expert judgments. In general, an expert-elicitation approach consists of five steps: deciding how information will be used, determining what to elicit, designing the elicitation process, performing the elicitation, and translating the elicited information into quantitative statements that can be used in a model or directly to make decisions. This last step is known as encoding. Some of the considerations in eliciting expert knowledge include determining how to work with multiple experts and how to combine multiple judgments, minimizing bias in the elicited information, and verifying the accuracy of expert information. We highlight structured elicitation techniques that, if adopted, will improve the accuracy and information content of expert judgment and ensure uncertainty is captured accurately. We suggest four aspects of an expert elicitation exercise be examined to determine its comprehensiveness and effectiveness: study design and context, elicitation design, elicitation method, and elicitation output. Just as the reliability of empirical data depends on the rigor with which it was acquired so too does that of expert knowledge. El conocimiento de expertos es utilizado ampliamente en la ciencia y práctica de la conservación por la complejidad de los problemas, la falta relativa de datos y la naturaleza inminente de muchas decisiones de conservación. El conocimiento de expertos es información sustancial sobre un tópico particular que no es conocido ampliamente por otros. Un experto es alguien que tiene ese conocimiento y a quien se recurre a menudo para su interpretación. Nos referimos a las predicciones de expertos de lo que puede suceder en un contexto particular como juicio de expertos. En general, un método de obtención de expertos consiste en cinco pasos: decidir como se utilizará la información, determinar que se va a obtener, diseñar el proceso de obtención, llevar a cabo la obtención y traducir la información obtenida en datos cuantitativos que puedan ser utilizados directamente o en un modelo para tomar decisiones. Este último paso es conocido como codificación. Algunas de las consideraciones en la obtención de conocimiento de expertos incluyen determinar como trabajar con múltiples expertos y como combinar múltiples juicios, minimizando el sesgo en la información obtenida, y verificando la precisión de la información de expertos. Resaltamos técnicas estructuradas de obtención que, de ser adoptadas, mejorarán la precisión y contenido de información del juicio de expertos y asegurarán que la incertidumbre sea capturada con precisión. Sugerimos que se examinen cuatro aspectos de un ejercicio de obtención de expertos para determinar su amplitud y efectividad: estudiar el diseño y el contexto, diseño de la obtención, método de obtención y resultado de la obtención. Tal como la confiabilidad de los datos empíricos depende del rigor con que fueron obtenidos, también lo es para el conocimiento de expertos.