Principal speaker
Associate Professor Sama Low-Choy
Expert knowledge can be valuable in many quantitative analyses. In mathematical models experts can help estimate specific parameters, such as rates, provided as input to the model. In Bayesian statistics, expert knowledge can help formulate informative priors to supplement empirical data. In some cases, such as risk assessment, expert knowledge may be the only information at hand, as a basis for important decisions or designing future studies.
This workshop provides a very practical approach to eliciting information from experts. We start with an exercise that then provides material for dissecting the experience, and understanding that the bulk of the work in conducting elicitation is in the preparation. What appears to be a simple chat between a modeller and an expert can in fact be laced with quantitative nuances, and embed techniques for side-stepping heuristics and biases. We will deconstruct a hypothetical interview to demonstrate how a 6-step process behind the scenes has supported design and conduct of an interview to elicit expert knowledge.
Prerequisites. None, although this workshop will be of most use to a researcher who has some idea of information they would like to elicit.
Related RED Workshops on Interviewing techniques or Bayesian priors provide a good general background, and cover material that is relevant to, but not covered in this workshop.
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RSVP
RSVP on or before Friday 1 September 2023 11.30 am, by email RED@griffith.edu.au , or by phone RED@griffith.edu.au , or via https://events.griffith.edu.au/Kno84z