Bayesian Rapid Optimal Adaptive Design (BROAD) for Estimating

在这个项目中，主要研究人员将开发方法来快速个性化实验或调查中提出的一系列问题，并根据受访者调整新问题。S之前的答案和他们的反应速度。这些方法在数学上保证了在每一步都提出了最具信息量的问题。软件方面的挑战是能够在各种计算机平台上快速重新计算。我们还将使软件易于使用和广泛使用。就更广泛的影响而言，这项研究将使科学家能够更快、更好地弄清楚，人们在喜好和行为方面是如何不同的。我们的方法将能够创建产生更多见解的简短调查。该方法将专门用于发现人们接受的风险程度，他们对未来成本和收益的耐心程度，以及他们喜欢与他人合作和竞争的程度。这些方法可以帮助消费者和公司弄清楚他们应该进行什么样的投资，并帮助工人找到最适合他们的工作。

In this project the Principal Investigators will develop methods to rapidly personalize the series of questions that are asked in an experiment or survey, adjusting new questions based on a respondent?s previous answers and the speed of their responses. The methods guarantee, mathematically, that the most informative question is being asked at each step. The software challenge is being able to recompute rapidly on a variety of computer platforms. We will also make software user-friendly and widely available. In terms of broader impacts, this research will enable scientists to figure out, faster and better, how people are different from each other in what they like and how they behave. Our method will enable creation of short surveys that yield more insight. The method will specifically be used to find out how much risk people accept, how patient they are toward future costs and benefits, and how much they like to cooperate and compete with other people. These methods can help consumers and companies figure out what kind of investments they should make, and help match workers with jobs that are ideal for them.