This article proposes a new statistical method to measure persuasion within small groups, and applies this approach to a large-scale randomized deliberative experiment.
Management teams are responsible for making sense of complex questions. Maybe it’s estimating how much a market will grow next year, or finding the best strategy to beat a competitor.
Donald Trump’s election and his nomination of Scott Pruitt, a climate skeptic, to lead the Environmental Protection Agency drastically downshifted expectations on US climate-change policy.
Markov Decision Processes (MDPs) have been widely used as invaluable tools in dynamic decision-making, which is a central concern for economic agents operating at both the micro and macro levels.
Many companies have jumped on the “big data” bandwagon. They’re hiring data scientists, mining employee and customer data for insights, and creating algorithms to optimize their recommendations.
When making decisions under uncertainty, it is important to distinguish between the probability that a judgment is true and the confidence analysts possess in drawing their conclusions.
Improving the performance of the healthcare sector requires an understanding of the efficiency and effectiveness of care delivered by providers.
We develop an 18-item self-report measure of receptiveness to opposing views. Studies 1a and 1b present the scale and report measures of internal, convergent, and discriminant validity.
In a variety of applications, decisions needs to be made dynamically after receiving imperfect observations about the state of an underlying system.
Few people have sat across from the Iranians and the North Koreans at the negotiating table. Wendy Sherman has done both.
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