The duel is age-old: on one side, cold, methodical and exhaustive ‘calculation’; on the other, the decision-maker’s dazzling intuition, that often indefinable ‘flair’. Since the advent of Big Data ...

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The purpose of this course is to explore collective decision making from an algorithmic point of view. We study settings where groups of agents need to make a joint decision by aggregating preferences ...

More experience in a given situation tends to make us feel we are getting better at making decisions. As we gain expertise, our judgments get quicker, too. But quick doesn’t always mean accurate. So, ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...