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 ...

The purpose of this paper is to provide an account the development Appreciative Inquiry Method (AIM) from its origins as a method for knowledge elicitation use organisational inquiry. In paper, I describe contributions that research and practice have made it evolved into soft Although clear Vickers notions appreciative systems methodology are major influences, there some important practical dif...

Seeds of Silybum marianum which have been used to treat liver diseases have an active component called silymarin. Hairy root cultures of S. marianum could be able to produce silymarin. There is evidence that the use of elicitors has been an important strategy for improving the production of secondary metabolites. Elicitation is an interesting topic to investigate cell signaling pathway in secon...

Abstract: In choice under risk an individual decision making is typically described by an individual's utility function over monetary outcomes and an individual’s decision weight function over probabilities. A three-stage procedure is proposed for efficient robust nonparametric elicitation of these functions. First, a tradeoff method is used to elicit several probabilities with a known individu...

Recent work has demonstrated the benefits of repeated judgments in improving the accuracy of estimates – both independent and repeated, individual judgments. The MoreOr-Less-Elicitation (MOLE) method has previously been shown to improve accuracy and precision of elicitation over single judgment elicitations (Welsh, Lee, & Begg, 2008). In this paper, we show the MOLE method delivers superior gai...

The benefits of cloud computing approaches are well known but designing logical architectures for that context can be complicated. Prior to designing a logical architecture, a proper requirements elicitation must be executed. When requirements are not properly elicited, and there are insufficient inputs for a product approach to requirements elicitation, a process-level perspective is an altern...

The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to ac...

Reliability prediction methods for early design stages suffer from the lack of empirical failure data. However, expert knowledge and data from similar in-service components are information sources ready available. In this work, an expert elicitation procedure for failure rate prediction is presented. In contrast to direct elicitation procedures such as FMEA, relations to in-service components a...

In current practice, business processes modeling is done by trained method experts. Domain experts are interviewed to elicit their process information but typically not involved in actual modeling. We created a tangible toolkit for process modeling to be used with domain experts. We hypothesize that it results in more effective process elicitation. This paper assesses nine aspects related to ”e...

In current practice, business processes modeling is done by trained method experts. Domain experts are interviewed to elicit their process information but not involved in modeling. We created a haptic toolkit for process modeling that can be used in process elicitation sessions with domain experts. We hypothesize that this leads to more effective process elicitation. This paper brakes down ”eff...