Info-gap: supporting model-based decisions under severe uncertainty

Info-gap is applied across a range of disciplines, and this course is directed at researchers and practitioners involved in risk analysis, reliability assessment, policy selection, planning and design in environmental science, engineering, project management, economics, national security, and health including food safety and epidemiology. The emphasis is on using the concepts and tools of info-gap theory to evaluate and select decisions and policies to achieve specified goals despite severe uncertainty. More on info-gap here and more on the upcoming 4 day info-gap course here.

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