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Ambiguity Versus Risk in Sequential Decision-Making: Incomplete Information, Causal Inference, and Reinforcement Learning

Blog Series:  PUBLIC IMPACT ANALYTICS SCIENCE (PIAS)

Ambiguity

Sequential decision-making requires one to know, or at least anticipate with confidence, the future consequences of the decisions that will be made today.

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Successful Public Impact Analytics Science in the Era of Information and Algorithmic Transparency Movements

Blog Series:  PUBLIC IMPACT ANALYTICS SCIENCE (PIAS)

In this post, I argue for a new minimum transparency criterion for developing successful analytics science methods and algorithms that are aimed at having a positive public impact: making sure that they do...

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