A FAIR Bridge2AI Center (FABRIC)

公平的 Bridge2AI 中心 (FABRIC)

• 批准号: 10662351
• 负责人: LUCILA OHNO-MACHADO
• 金额: $ 238.62万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10662351
• 关键词: Acceleration; Adherence; Affect; Agreement; 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; 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; United States National Institutes of Health; Universities; Vision; Work; Workforce Development; artificial intelligence algorithm; blockchain; cloud based; data access; design; digital; effectiveness evaluation; ethical, legal, and 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：一个公平的AI桥中心（织物）总体总结