A FAIR Bridge2AI Center (FABRIC)

NIH RePORTER · NIH · U54 · $2,666,741 · view on reporter.nih.gov ↗

Abstract

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.

Key facts

NIH application ID
10838517
Project number
5U54HG012510-04
Recipient
YALE UNIVERSITY
Principal Investigator
LUCILA OHNO-MACHADO
Activity code
U54
Funding institute
NIH
Fiscal year
2024
Award amount
$2,666,741
Award type
5
Project period
2023-01-01 → 2026-04-30