REU Site: Undergraduate Research in Collaborative Data Visualization Applications

该奖项资助了一个新的CISE REU网站，以提供一种新颖的方法来扩大可视化的参与，同时加速发现和进步。可视化在探索和理解所有学科的数据方面发挥着重要作用，其目标是：深入了解数据中存在的复杂关系。一个由教师和可视化工作人员组成的多学科团队计划建立一个专注于多个领域研究的网站，包括计算机科学，遗传学和生物化学，地球物理学，社会学，分子建模和模拟，无机化学，社交媒体，公园休闲旅游管理，生物科学和数字人文。REU网站的总体目标是扩大可视化的参与，与研究项目共同探索可视化，同时加速发现和进展，并利用可视化作为合作的渠道。REU网站通过以下方式实现这些目标：在研究的同时探索可视化，让学生直接参与跨学科的数据驱动可视化，提供可视化研究中常见的工具和技术培训，鼓励学生将可视化视为职业道路并在研究生一级追求可视化，并针对妇女和代表性不足的群体的参与，以及来自网络基础设施资源有限的机构的学生。

This award funds a new CISE REU Site to provide a novel approach to broadening participation in visualization, while accelerating discovery and progress. Visualization plays a significant role in the exploration and understanding of data across all disciplines with a universal goal: gaining insight into the complex relationships that exist within the data. A multi-disciplinary team of faculty and visualization staff plans to establish a site that focuses on research across several domains including Computer Science, Genetics and Biochemistry, Geophysics, Sociology, Molecular Modeling and Simulation, Inorganic Chemistry, Social Media, Parks Recreation Tourism Management, Biological Sciences, and Digital Humanities.The overall objectives of the REU Site are to broaden participation in visualization, to explore visualization jointly with research projects while accelerating discovery and progress, and to utilize visualization as a conduit for collaboration. The REU Site achieves these objectives by: exploring visualization in parallel with research, involving students directly in data-driven visualization with an interdisciplinary aspect, providing training in tools and technologies that are common in visualization research, inspiring students to consider visualization as a career path and pursue visualization at the graduate level, and targeting participation of women and underrepresented groups, as well as students from institutions with limited cyberinfrastructure resources.