AIMDMB Shared Resource Core

AIMDMB 共享资源核心

• 批准号: 10386504
• 负责人: Bruce Y Lee
• 金额: $ 24.25万
• 依托单位: GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-19 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10386504
• 关键词: Address; Artificial Intelligence; Client; Communities; Computational Science; Computer Models; Computer software; Contractor; Contracts; Data; Data Analyses; Data Science; Data Security; Data Storage and Retrieval; Department of Defense; Development; Educational process of instructing; Elements; Evolution; Generations; Goals; Health; Human Resources; Hybrids; Individual; Informatics; Information Systems; Lead; Modeling; Nutritional Study; Outsourcing; Persons; Pilot Projects; Precision Health; Programming Languages; Research; Research Personnel; Research Project Grants; Resource Sharing; Resources; Running; Security; Supercomputing; System; Time; Training; Vision; Work; computational platform; computerized data processing; computerized tools; computing resources; data resource; design; experience; innovation; interest; mathematical model; model development; models and simulation; new technology; nutrition; precision nutrition; simulation; statistics; synergism; tool; tool development; training opportunity

Abstract-Computational Systems Core (CSC) As described in the Administration and Coordination Core (ACC) Research Strategy, the vision of this proposed AIMINGS Center is to implement computational and data science approaches and tools to advance nutrition for precision health. To accomplish this vision the Data Systems Core (DSC), the four projects, the pilot projects, the Nutrition for Precision Health (NPH) Consortium, and the larger precision nutrition research community could benefit from an integrated and readily available set of dedicated computational resources and expertise. Having separate such resources for each project and core could lead to unnecessary redundancy and more importantly missed synergies and opportunities. Each project, while able to function as a stand-alone project, is designed to facilitate and further each other. Thus, a central set of computational resources and expertise would facilitate this integration and work together. Moreover, it will be easier for a single set of resources and expertise to adapt to not only evolution of the projects but also evolution of what may be needed for the NPH consortium and the emergence of new technology, which continues to evolve. Additionally, such a situation will make it easier to shift resources and personnel from one project to another, providing cross- training opportunities. Thus, the AIMINGS Center will have a Computational Systems Core (CSC) that consists of both computational programming and modeling personnel that will serve all AIMINGS Center projects as well as the NPH Consortium and beyond. The West Point internal computing platforms are a shared resource in the CSC that allows for immediate model simulation and data processing across AIMINGS. Our CSC team has extensive experience in computational resources, security of controlled data, hardware and app development, computational model development in multiple programming languages and experience leading many different computational modeling and tool development projects. These resources (e.g., data storage, processing power, and compute time) will be available to all AIMINGS Center Cores and Projects, including the Pilot Projects. Aim 1 will provide shared computational and data resources to the AIMINGS Center Cores and Projects and NPH Consortium. Aim 2 will provide mathematical and computational modeling expertise and resources to support the activities of the AIMINGS Projects and the NPH Consortium. Aim 3 will provide expertise and resources in computational tool development and deployment to support the activities of the AIMINGS Projects and the NPH Consortium. The AIMINGS Computational Systems Core will bring multiple innovations, such as: (1) Integrating and implementing Department of Defense (DoD) computing power to address nutrition for precision health, (2) Bringing a new level of data security to nutrition for precision health, (3) Resources and expertise to create new collaborative platforms, and (4) Creating a new generation of hybrid, transdisciplinary researchers who have enough understanding both the computational and nutrition/health aspects of the work.

抽象--计算系统核心(CSC) 正如行政和协调核心(ACC)研究战略中所述，这一愿景 拟议的目标中心是实施计算和数据科学的方法和工具，以推动 精准健康的营养。为了实现这一愿景，数据系统核心(DSC)、四个项目、 试点项目、精准健康营养(NPH)联盟和更大的精准营养研究 社区可以受益于一组集成的、随时可用的专用计算资源和 专业知识。将这些资源分别用于每个项目和核心可能会导致不必要的冗余 更重要的是，它错过了协同效应和机遇。每个项目，虽然能够作为独立的 项目，旨在相互促进、相互促进。因此，一组中央计算资源和 专业知识将促进这一整合并共同努力。此外，对于一套单一的 资源和专门知识，不仅要适应项目的演变，而且要适应可能需要的演变 对于NPH财团和新技术的出现，这一技术还在不断发展。此外，这样的 这种情况将使资源和人员从一个项目转移到另一个项目变得更容易，从而提供交叉 培训机会。因此，瞄准中心将拥有一个计算系统核心(CSC)， 由计算编程和建模人员组成，将服务于所有目标 中心项目以及NPH联盟和其他组织。西点军校内部计算平台 是CSC中的共享资源，允许跨 瞄准。我们的CSC团队在计算资源、受控数据安全、 硬件和应用程序开发、多种编程语言的计算模型开发以及 具有领导多个不同的计算建模和工具开发项目的经验。这些资源 (例如，数据存储、处理能力和计算时间)将可用于所有Aimings Center核心和 项目，包括试点项目。AIM 1将为 Aimings Center核心和项目以及NPH联合体。目标2将提供数学和 计算建模专门知识和资源，以支持Aimings项目和 NPH联盟。AIM 3将提供计算工具开发方面的专业知识和资源 部署以支持Aimings项目和NPH联盟的活动。瞄准 计算系统核心将带来多重创新，例如：(1)集成和实现 国防部(DoD)计算能力解决精准健康的营养问题，(2)带来了新的 数据安全级别到精准健康的营养，(3)资源和专业知识，以创建新的协作 平台，以及(4)创造新一代混合型、跨学科的研究人员，他们有足够的 了解这项工作的计算和营养/健康方面。