Multi-Disciplinary Symposium on "Thinking with Data"

PI建议组织一次多学科研讨会，审查学习和指导在人们如何对数据进行推理中可以发挥的作用：他们形成的表示形式的类型，他们对测量、统计噪声、图形显示的理解，以及他们如何理解和使用数据来解释现象和做出决定。拟议中的研讨会将是第一次将如此不同的初级和高级研究人员聚集在一起，以达成共同立场。它将使他们能够交流不同学科的最新作品，寻求趋同的结果和共同的原则，并在当前工作的基础上发现研究需求或差距。目前，发展心理学、统计学、决策分析、科学和数学教育等学科的工作很少互动或分享见解。研讨会的重点之一是将当前的理论见解应用于实践(在商业和学校中)，并使从该领域获得的见解跨越领域界限，以使其能够推动理论工作。

The PI proposes to organize a multi-disciplinary symposium that will examine the roles that learning and instruction can play in how people reason with data: the kinds of representations they form, their understandings of measurement, of statistical noise, of graphical displays, and how they understand and use data to explain phenomena and make decisions. The proposed symposium will be the first of its kind to bring such a diverse group of junior and senior researchers together to forge common ground. It will allow them to exchange state-of-the-art work from their different disciplines, to seek converging results and common principles, and to discover research needs or gaps based on current work. At present, work in the disciplines of developmental psychology, statistics, decision analysis, and science and math education proceed with little interaction or sharing of insights. One of the focuses of the symposium is to bring current theoretical insights to bear on practice (in business and in the schools), as well as to make insights derived from the field available across field boundaries in order to allow it to advance the theoretical work.