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: 2004014
• 负责人: Jason Leigh
• 金额: $ 225万
• 依托单位: University of Hawaii
• 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=2004014&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人工智能 (AI) 和数据可视化等复杂工具来利用正在成为常态的海量、速度和多样性的数据集。然而，研究界必须理解所积累的数据，因此网络基础设施必须延伸到人们。 SAGE3（智能放大群体环境）为科学家提供了一个直观的框架，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、探索和更快、更准确、更全面、更自信地分析数据、得出结论并做出决策。 SAGE3 增强了科学发现事业的每一步 - 从快速总结大数据，到发现一个或多个链接数据集之间的趋势和相似性或异常，到向科学家、公共政策和政府官员以及公众传达发现，到教育公众下一代劳动力。最终，科学家和未来的科学家必须利用大数据革命来解决国家面临的重大挑战问题，这将使整个社会受益——从研究地球上生命的多样性，到通过卫星图像了解地球及其系统制定针对影响世界公民和经济的自然灾害（例如山体滑坡和流行病）的应对方案。 SAGE3 的开发重点关注两个基本组成部分：人工智能增强型智能服务和先进的计算资源编排，以支持可重复的工作模型以实现安全的协作工作。 SAGE3 提高了用户的工作效率，为他们提供了商用的开源人工智能解决方案，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。 SAGE3 让人工智能技术变得更广泛，而不仅仅是技术娴熟的人的特权。 SAGE3 通过使用数据可视化来帮助解释和解释人工智能模型，从而进一步实现人工智能的民主化，以便用户更好地理解人工智能如何做出决策，从而产生用户信任，并可以帮助识别潜在的偏见或偏见模型。该奖项反映了 NSF 的法定使命，并被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。

项目成果

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

“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

SAGE3 for Interactive Collaborative Visualization, Analysis, and Storytelling

SAGE3 用于交互式协作可视化、分析和讲故事

• DOI: 10.1145/3626485.3626541
• 发表时间: 2023
• 期刊: ISS Companion ‘23: Companion Proceedings of the 2023 Conference on Interactive Surfaces and Spaces
• 作者: Harden, Jesse;Kirshenbaum, Nurit;Tabalba Jr., Roderick S.;Leigh, Jason;Renambot, Luc;North, Chris
• 通讯作者: North, Chris

Exploring Organization of Computational Notebook Cells in 2D Space

探索二维空间中计算笔记本单元的组织

• DOI: 10.1109/vl/hcc53370.2022.9833128
• 发表时间: 2022
• 期刊: 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC
• 作者: Harden, Jesse;Christman, Elizabeth;Kirshenbaum, Nurit;Wenskovitch, John;Leigh, Jason;North, Chris
• 通讯作者: North, Chris