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.

计算机系统核心（CSC）