Research Infrastructure: MRI: Track 2 Acquisition of Data Observation and Computation Collaboratory (DOCC)

研究基础设施：MRI：数据观察和计算合作实验室 (DOCC) 的轨道 2 采集

• 批准号: 2320261
• 负责人: Andrew Johnson
• 金额: $ 154.85万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320261&HistoricalAwards=false
• 关键词: Research; Infrastructure; MRI; Track; Acquisition

The Data Observation and Computation Collaboratory (DOCC, ‘dock’) is a visual data science instrument for University of Illinois Chicago (UIC) science and engineering research and research training. Many UIC researchers are part of multi-disciplinary teams investigating and contributing to solutions for societal issues, in such fields as biology, cybersecurity, healthcare, manufacturing, urban sustainability, and cyber-physical systems (e.g., autonomous cars). DOCC is a digital Project Room that enables domain scientists and computer scientists to collaborate on real-world problems by providing them with high-performance computing, high-resolution displays, and sophisticated Artificial Intelligence (AI), data analytic, data simulation, image processing, visualization, and virtual-reality software and services. Societal challenges can only be addressed by research teams, with each contributing expertise in complementary areas. DOCC’s Intellectual Merit is two-fold: it provides onsite computing with adequate support, and it provides collaboration software services. With respect to the former, DOCC is a configurable computing environment that prioritizes real-time, interactive, collaborative, data-intensive applications, but can be scheduled off-hours for batch-mode processing. Users can execute codes faster, apply more sophisticated analytics to large-scale problems, gain greater insights, and open new avenues of research. With respect to the latter, DOCC’s collaboration software lets researchers either sit around one of DOCC’s large tables and display walls or video-teleconference in while simultaneously sharing and interacting with their data on the large displays – which remote viewers can access online.To encourage adoption and ensure Broader Impact, DOCC plans to have a visual front end, enabling users to easily access familiar collaboration tools, scientific notebooks, AI workflows, and popular visualization software. Alternatively, users can add new AI models or create them from scratch. And because DOCC is connected to the UIC research network, data and/or computer codes can be ported to remote computer and cloud resources located on campus, regionally, nationally, or internationally. DOCC personnel can assist new users make their applications more robust, dynamic and configurable. DOCC can transform scientific research, data exploration and discovery, recruit and retain new faculty, make cyberinfrastructure more accessible to students, and help educate the next-generation workforce. UIC is a Minority Serving Institution, a Hispanic Serving Institution and an Asian American and Native American Pacific Islander Serving Institution.DOCC and its associated data will remain active for at least three years after the completion of this project, as demand dictates. Software will be stored and archived via EVL’s storage servers, as well as code repositories. The project website is www.evl.uic.edu/doccThis 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.

数据观测和计算协作实验室（DOCC，“码头”）是伊利诺伊大学芝加哥（UIC）科学和工程研究和研究培训的可视化数据科学仪器。许多UIC研究人员是多学科团队的一部分，他们在生物学、网络安全、医疗保健、制造业、城市可持续性和网络物理系统（例如，自动汽车）。DOCC是一个数字项目室，使领域科学家和计算机科学家能够通过为他们提供高性能计算，高分辨率显示和复杂的人工智能（AI），数据分析，数据模拟，图像处理，可视化和虚拟现实软件和服务来解决现实问题。社会挑战只能由研究团队来解决，每个团队都在互补的领域贡献专业知识。DOCC的智力优势是双重的：它提供了现场计算和足够的支持，它提供了协作软件服务。对于前者，DOCC是一个可配置的计算环境，它优先考虑实时，交互，协作，数据密集型应用程序，但可以安排在非工作时间进行批处理模式处理。用户可以更快地执行代码，将更复杂的分析应用于大规模问题，获得更深入的见解，并开辟新的研究途径。对于后者，DOCC的协作软件可以让研究人员围坐在DOCC的大桌子和显示墙周围，或者进行视频电话会议，同时在大显示器上共享和交互他们的数据-远程观众可以在线访问。为了鼓励采用并确保更广泛的影响，DOCC计划拥有一个可视化前端，使用户能够轻松访问熟悉的协作工具，科学笔记本电脑、人工智能工作流和流行的可视化软件。或者，用户可以添加新的AI模型或从头开始创建它们。由于DOCC连接到UIC研究网络，数据和/或计算机代码可以移植到位于校园，区域，国家或国际的远程计算机和云资源。DOCC人员可以帮助新用户使他们的应用程序更加健壮、动态和可配置。DOCC可以改变科学研究，数据探索和发现，招聘和留住新的教师，使网络基础设施更容易为学生所用，并帮助教育下一代劳动力。UIC是一个少数民族服务机构，一个西班牙裔服务机构和一个亚裔美国人和美国土著太平洋岛民服务机构。DOCC及其相关数据将在本项目完成后至少三年内保持活跃。软件将通过EVL的存储服务器以及代码库进行存储和存档。该项目网站是www.evl.uic.edu/doccThis奖反映了NSF的法定使命，并已被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。