EAGER: Field: A New Tool for Creative, Interdisciplinary Visualization of Data

EAGER：Field：创造性、跨学科数据可视化的新工具

• 批准号: 1048440
• 负责人: Johannes Goebel
• 金额: $ 14.94万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1048440&HistoricalAwards=false
• 关键词: EAGER; Field; New; Tool; Creative

This project will demonstrate that creativity enhancing tools developed initially for advanced integration of computer technology with the performing and visual arts can be effectively oriented towards demanding scientific visualization applications. Field is a software development tool developed and used by the digital art collective the OpenEnded Group in collaboration with several noted choreographers and visual artists in the integration of advanced computer technology and the performing arts. Field is a meta-authoring environment. It is an open-source programming environment that has been architected in such a way to support interdisciplinary projects that call upon domain-specific tools, libraries, and languages that has a minimal core and a powerful plug-in system. Field was created in the context of widely divergent interdisciplinary projects; its aim is to give its users not only the ability to work rapidly, but to shape their Field environment extensively and flexibly for their own demands. In this project Field software development environment will be amended to support data visualization research from the Tetherless World Constellation group in collaboration with the Curtis R. Priem Experimental Media and Performing Arts Center (EMPAC) at Rensselaer Polytechnic Institute. This project will benefit scientists, digital artists, and humanity scholars. Scientists will gain a powerful tool for the dissemination of scientific and technological information in areas of vital interest and thus of benefiting the public at large. By enabling better visualizations of very large-data sets, the project will help make those data-sets far more accessible and comprehensible to citizens. Since Field makes it far easier to create interactive visualizations, citizens may actively explore these complex models rather than passively receive a pre-selected set of results. Digital artists will gain a tool that provides new subject areas and canvas for making works that incorporate very large data-sets such as those of interest to the sciences and humanities including economics, scientific, demographics, medical and environmental.

该项目将证明，最初为计算机技术与表演和视觉艺术的高级集成而开发的创造力增强工具可以有效地面向要求苛刻的科学可视化应用。 Field是一个软件开发工具，由数字艺术团体OpenEnded Group与几位着名的编舞家和视觉艺术家合作开发和使用，将先进的计算机技术与表演艺术相结合。Field是一个元创作环境。 它是一个开源编程环境，以支持跨学科项目的方式构建，这些项目需要特定于领域的工具，库和语言，具有最小的核心和强大的插件系统。Field是在广泛不同的跨学科项目的背景下创建的;其目的是使其用户不仅能够快速工作，而且能够根据自己的需求广泛灵活地塑造他们的Field环境。在这个项目中，Field软件开发环境将被修改，以支持来自Tetherless World Constellation小组与Curtis R。Priem Experimental Media and Performing Arts Center（英语：Priem Experimental Media and Performing Arts Center），伦斯勒理工学院。该项目将使科学家、数字艺术家和人文学者受益。科学家们将获得一个强有力的工具，在重大利益领域传播科学和技术信息，从而使广大公众受益。通过更好地可视化非常大的数据集，该项目将有助于使这些数据集更容易获得和理解的公民。由于Field使创建交互式可视化变得更加容易，公民可以主动探索这些复杂的模型，而不是被动地接收预先选择的结果集。数字艺术家将获得一种工具，该工具提供新的学科领域和画布，用于制作包含非常大的数据集的作品，例如科学和人文学科感兴趣的数据集，包括经济学、科学、人口统计学、医学和环境。