Pathways: Sense-Making of Big Data

这个路径项目将研究公共空间的观众，在这种情况下是博物馆的观众，如何与大数据展示联系起来并理解它们。该项目是一个旅行、动手展览的初步开发，使用户能够创建和利用大数据显示的表示，如地图和图表。作为测试案例，该项目将使用科学地图，提供科学总体和STEM特定领域的概述，绘制和探索科学技术的历史和未来。该项目的数据收集部分将在纽约科学馆、Marian Koshland科学博物馆、俄亥俄州哥伦布市的COSI和印第安纳州布卢明顿的WonderLab博物馆进行。该项目将为博物馆展品和教育项目的设计奠定基础，教博物馆游客如何探索、参与和更好地理解大数据。这个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，从大数据显示中获得意义是必要的。

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.