A FAIR Bridge2AI Center (FABRIC)

公平的 Bridge2AI 中心 (FABRIC)

• 批准号: 10473059
• 负责人: LUCILA OHNO-MACHADO
• 金额: $ 103.78万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-08 至 2022-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10473059
• 关键词: Adherence; Affect; Anthropology; Artificial Intelligence; Big Data to Knowledge; Biomedical Research; Bridge to Artificial Intelligence; California; Catalogs; Collaborations; Communities; Computer software; Data; Educational Activities; Educational Materials; Ensure; Environment; Ethics; Evaluation; FAIR principles; Funding; Generations; Goals; Guidelines; Health; Human; Humanities; Individual; Institutes; Institution; Learning; Life Cycle Stages; Logistics; Measures; Metadata; Modeling; Participant; Persons; Policies; Privacy; Problem behavior; Process; Psychology; Research; Research Personnel; Science; Series; Social Sciences; Standardization; Structure; Technology; Texas; Thinness; Training; Training Activity; Transact; United States National Institutes of Health; Universities; Vision; Work; Workforce Development; artificial intelligence algorithm; base; blockchain; cloud based; data access; data tools; design; digital; effectiveness evaluation; ethical legal social implication; experience; indexing; innovation; novel; outreach; privacy preservation; programs; skill acquisition; software development; tool; trustworthiness

Bridge2AI: a FAIR AI BRIDGE Center (FABRIC) Overall Summary We propose to develop a FAIR Bridge2AI Center (FABRIC) to organize a large Consortium of institutions that will be generating data and tools to enable the application of novel AI algorithms to solve biomedical or behavioral problems affecting human health. Our center’s approach is to develop an Administrative Core that, together with a Teaming Core, designs and manages structural components of the Bridge2AI Consortium with a focus on team science and inclusion. The products and activities of each of four Cores are led by experts in their respective fields, and who have an extensive track record of working together in large NIH-funded initiatives, such as BD2K, All of Us, etc. The Administrative and Teaming Cores are based at the University of California San Diego. The Ethics Core, led by Vanderbilt University, will oversee all ethical, legal, and social implications (ELSI), generate guidelines and assess fairness in data from Data Generation Project (DGP) and other Consortium products. The Standards Core, led by University of Texas Health, will ensure that all products and activities follow the FAIR (findable, accessible, interoperable, reusable) principles and are harmonized/standardized to agreed upon standards. The Tool Optimization Core, led by the Broad Institute, will use its experience developing large- scale software to build a platform for the whole Consortium, where Cores and DGPs can have their products available for other researchers. It will also optimize various tools that are deemed useful for Bridge2AI. The Skills and Workforce Development will develop and deliver educational materials and activities for the whole consortium and optimize software developed by others. A special emphasis for FABRIC is inclusion, as our vision is for a novel type of Coordinating Center where there is no single point of control and in which transactions (e.g., data access, data use) are immutably recorded in an easy-to-access ledger that is viewable by all. FABRIC is designed so that various threads in Cores and DGPs are interwoven into a durable, sustainable center for the Bridge2AI Consortium.

Bridge2AI：FAIR AI BRIDGE 中心（FABRIC）总体总结 我们建议建立一个 FAIR Bridge2AI 中心（FABRIC）来组织一个大型联盟 将生成数据和工具以实现新型人工智能算法应用的机构 解决影响人类健康的生物医学或行为问题。我们中心的做法是 开发一个管理核心，与团队核心一起设计和管理 Bridge2AI 联盟的结构组成部分，重点关注团队科学和包容性。 四个核心的产品和活动均由各自领域的专家领导，并且 他们在 NIH 资助的大型项目中拥有广泛的合作记录，例如 BD2K、我们所有人等。管理和团队核心位于大学 加州圣地亚哥。由范德比尔特大学领导的道德核心将监督所有道德、法律、 和社会影响 (ELSI)，生成指南并评估数据中数据的公平性 Generation Project (DGP) 和其他联盟产品。标准核心，由大学领导 德克萨斯州卫生局将确保所有产品和活动遵循 FAIR（可查找、可访问、 可互操作、可重用）原则，并根据商定的标准进行协调/标准化。 由 Broad Institute 领导的工具优化核心将利用其开发大型 扩展软件来为整个联盟构建一个平台，核心和 DGP 可以在其中拥有 他们的产品可供其他研究人员使用。它还将优化被认为是的各种工具 对于 Bridge2AI 很有用。技能和劳动力发展将开发和提供教育 整个联盟的材料和活动，并优化其他人开发的软件。一个 FABRIC 特别强调包容性，因为我们的愿景是建立一种新型的协调中心 没有单点控制以及事务处理（例如数据访问、数据使用） 被永久地记录在所有人都可以查看的易于访问的分类帐中。面料设计 以便核心和 DGP 中的各种线程交织成一个耐用、可持续的中心 Bridge2AI 联盟。