Pathways: Sense-Making of Big Data

这个路径项目将研究公共场所的观众，在这种情况下，那些在博物馆的观众，如何与大型数据展示联系起来，并对其产生意义。该项目是开发巡回动手展览的初步工作，使用户能够创建和利用地图和图表等大数据展示的表示。作为测试案例，该项目将使用提供科学总体概况和STEM特定领域的科学地图，绘制和探索科学和技术的历史和未来。该项目的数据收集部分将在纽约科学馆、玛丽安·科什兰科学博物馆、俄亥俄州哥伦布市的COSI和印第安纳州布鲁明顿的神奇实验室博物馆进行。该项目将为博物馆展品的设计和教育项目奠定基础，这些项目教会博物馆参观者如何探索、参与和更好地理解大数据。该项目具有潜在的变革性，因为大数据正变得无处不在，为了理解大数据集，理解大数据显示是必要的。

This pathways project will study how audiences in public spaces, in this case those in a museum setting, relate to and make sense of large data displays. The project is preliminary to development of a traveling, hands-on exhibition enabling users to create and utilize representations of big data displays such as maps and charts. As the test case, the project will use science maps that provide an overview of science generally and specific areas of STEM, charting and exploring the history and future of science and technology. The data collection portion of the project will take place at the New York Hall of Science, the Marian Koshland Science Museum, COSI in Columbus, Ohio, and WonderLab Museum in Bloomington, Indiana. The project will create a foundation for the design of museum exhibits and educational programs that teach museum visitors how to explore, engage and make better sense of big data. The project is potentially transformative because big data is becoming ubiquitous and making sense out of large data displays is necessary in order to understand big data sets.