Collaborative Research: CSSI Frameworks: SAGE3: Smart Amplified Group Environment for Harnessing the Data Revolution

协作研究：CSSI 框架：SAGE3：利用数据革命的智能放大群组环境

• 批准号: 2003387
• 负责人: Christopher North
• 金额: $ 50万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2003387&HistoricalAwards=false
• 关键词: Collaborative; Research; CSSI; Frameworks; SAGE3

The Big Data revolution necessitates the use of sophisticated tools such as Artificial Intelligence (AI) and Data Visualization to harness the sheer volume, velocity and variety of datasets that are becoming the norm. However, it is the research community that must make sense of the data being amassed, so cyberinfrastructure must extend to people. SAGE3 (Smart Amplified Group Environment) puts the human in the loop by providing scientists with an intuitive framework that integrates state-of-the-art AI technologies with applications, workflows, smart visualizations and collaboration services to help them access, share, explore and analyze their data, come to conclusions, and make decisions with greater speed, accuracy, comprehensiveness and confidence. SAGE3 augments every step of the scientific discovery enterprise - from quickly summarizing large data, to finding trends and similarities or anomalies among one or more linked datasets, to communicating findings to scientists, public policy and government officials, and the general public, to educating the next-generation workforce. Ultimately, it is the scientists and future scientists who must Harness the Big Data revolution to solve the nation's grand challenge problems that will benefit society as a whole - from studying the diversity of life on Earth, to understanding the Earth and its systems from satellite imagery of its poles, to developing response scenarios for natural disasters such as landslides and pandemics that impact the citizens and economies of the world. SAGE3 development focuses on two fundamental components: AI-enhanced smart services and advanced computing resource orchestration to support reproducible work models for secure collaborative work. SAGE3 amplifies user productivity, providing them with commercially available and open-source AI solutions, which autonomously and transparently analyze data while continually learning and improving through user interactions. SAGE3 makes AI technologies broadly accessible, not just a privilege for the technically savvy. SAGE3 further democratizes AI by using Data Visualization to help interpret and explain AI models so users better understand how AI came to its decisions, which engenders user trust and can help identify potentially prejudiced or biased models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

大数据革命需要使用复杂的工具，如人工智能（AI）和数据可视化，以利用正在成为常态的数据集的绝对数量，速度和种类。然而，研究界必须理解正在积累的数据，因此网络基础设施必须扩展到人们。SAGE 3（智能放大组环境）通过为科学家提供一个直观的框架，将最先进的人工智能技术与应用程序，工作流程，智能可视化和协作服务集成在一起，帮助他们访问，共享，探索和分析他们的数据，得出结论，并以更快的速度，准确性，全面性和信心做出决策。SAGE 3增强了科学发现事业的每一步-从快速总结大型数据，到在一个或多个链接的数据集之间发现趋势和相似性或异常，到将发现传达给科学家，公共政策和政府官员以及公众，再到教育下一代劳动力。最终，科学家和未来的科学家必须推动大数据革命，以解决国家的重大挑战问题，这将使整个社会受益-从研究地球上生命的多样性，到从地球两极的卫星图像了解地球及其系统，为影响世界公民和经济的山体滑坡和流行病等自然灾害制定应对方案。SAGE 3的开发重点是两个基本组件：AI增强的智能服务和高级计算资源编排，以支持可复制的工作模型，从而实现安全的协作工作。SAGE 3提高了用户的生产力，为他们提供了商用和开源的AI解决方案，这些解决方案可以自主透明地分析数据，同时通过用户交互不断学习和改进。SAGE 3使人工智能技术广泛可用，而不仅仅是技术悟性的特权。SAGE 3通过使用数据可视化来帮助解释和解释人工智能模型，使用户更好地了解人工智能是如何做出决策的，从而产生用户信任，并有助于识别潜在的偏见或偏见模型，从而进一步实现人工智能的民主化。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Sensemaking Strategies with Immersive Space to Think

具有沉浸式思考空间的意义建构策略

• DOI: 10.1109/vr50410.2021.00077
• 发表时间: 2021
• 期刊: IEEE Virtual Reality and 3D User Interfaces (VR
• 作者: Lisle, Lee;Davidson, Kylie;Gitre, Edward J.K.;North, Chris;Bowman, Doug A.
• 通讯作者: Bowman, Doug A.

SAGE3 - the Smart Amplified Group Environment,

SAGE3 - 智能放大的团体环境，

• 发表时间: 2023
• 期刊: Science Gateways 2023 Annual Conference
• 作者: Tabalba, R.;Kirshenbaum, N.;Harden, J.;Rogers, M.;Nishimoto, A.;Christman, E.;Yu, A.;Theriot, R.;Long, L.;Renambot, L.
• 通讯作者: Renambot, L.

Do we still need physical monitors? An evaluation of the usability of AR virtual monitors for productivity work

我们还需要物理显示器吗？

• 发表时间: 2021
• 期刊: IEEE Virtual Reality 2021
• 作者: Pavanatto, Leonardo;North, Chris;Bowman, Doug A.;Badea, Carmen;Stoakley, Richard
• 通讯作者: Stoakley, Richard

“There is no reason anybody should be using 1D anymore”: Design and Evaluation of 2D Jupyter Notebooks

– 任何人都没有理由再使用 1D –：2D Jupyter 笔记本的设计和评估

• 发表时间: 2023
• 期刊: Graphics Interface 2023
• 作者: Harden, Jesse;Christman, Elizabeth;Kirshenbaum, Nurit;Belcaid, Mahdi;Leigh, Jason;North, Chris
• 通讯作者: North, Chris

Reflecting on the Scalable Adaptive Graphics Environment Team’s 20-Year Translational Research Endeavor in Digital Collaboration Tools

反思可扩展自适应图形环境团队 20 年数字协作工具转化研究成果

• DOI: 10.1109/mcse.2023.3297753
• 发表时间: 2023
• 期刊: Computing in Science & Engineering
• 影响因子: 2.1
• 作者: Belcaid, Mahdi;Leigh, Jason;Theriot, Ryan;Kirshenbaum, Nurit;Tabalba, Roderick;Rogers, Michael;Johnson, Andrew;Brown, Maxine;Renambot, Luc;Long, Lance
• 通讯作者: Long, Lance