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Effective Decision Support

What do you personally want to learn more about to become effective in this area of Decision Support?

I would like to become better at quantifying and communicating uncertainty. Specifically, what are some good first steps to use Bayesian techniques to describe probabilistic outcomes, with a deterministic process-based model?

I would like to learn the best way to quantify uncertainty of decision support models.