Decision Making Under Uncertainty: Intro to Structured Expert Judgment

Initiative Description

Do not let the absence of data or the lack of appropriate data affect your decision-making. Learn how expert opinion can be used rigorously for uncertainty quantification.

Training Objectives

In an increasingly data-driven world, data and its use aren't always all it's cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made. For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas? In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner. Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making. In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke's method, which is arguably the most rigorous method for performing Structured Expert Judgment. CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others.

Training Contents

By the end of the course all learners will be able to: Recognize and advise on when and in which settings to use the Classical Model (CM) for performing Structured Expert Judgment; Account for uncertainty assessments in complex decision-making context when data pose issues; Use the CM to analyze expert data and obtain answers to questions of interest; Participate in an optional IDEA Protocol module, which uses a different method of performing Structured Expert Judgment. Verified learners will have the added benefit of being able to: Get an in-depth perspective on the CM method; Analyze expert data to apply Structured Expert Judgment methods to real world scenarios; Participate in optional modules about dependence elicitation and eliciting probabilities.

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Details

Website

[email protected]

Date: Always available - online

Durations: +7 days

Price: Free | Earn certificate for $199

Project

Delft University of Technology

Countries where training is provided

Netherlands

Cities where training is provided

Delft

Languages this training can be provided

English

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