Integration, Dissemination and Evaluation(BRIDGE) Center for the NIH Bridge to Artificial Intelligence (BRIDGE2AI) Program

NIH 人工智能之桥 (BRIDGE2AI) 项目集成、传播和评估 (BRIDGE) 中心

• 批准号: 10661023
• 负责人: Monica Cecilia Munoz-Torres
• 金额: $ 261.87万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-06 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10661023
• 关键词: Acceleration; Address; Adoption; Algorithms; Artificial Intelligence; Behavioral; Behavioral Research; Benchmarking; Big Data; Biomedical Research; Bridge to Artificial Intelligence; Collaborations; Communities; Community Developments; Complement; Complex; Data; Data Set; Dedications; Development; Educational Curriculum; Engineering; Ensure; Environment; Ethics; Evaluation; Fostering; Funding; Future; Generations; Goals; Health; Human; Incentives; Knowledge; Language; Learning; Life Cycle Stages; Machine Learning; Metadata; Methodology; Mind; Mission; Outcome; Participant; Persons; Positioning Attribute; Process; Productivity; Readiness; Research; Research Personnel; Science; Societies; Sociology; Source; Standardization; Structure; Technology; Training; Training Programs; Trust; United States National Institutes of Health; Vision; Vocabulary; Work; Workforce Development; artificial intelligence algorithm; behavioral health; community based evaluation; community building; community engagement; community setting; data resource; data sharing; design; drug discovery; empowerment; evidence base; experience; improved; indexing; innovation; novel; precision medicine; programs; recruit; skill acquisition; skills; social; tool; translational pipeline; trustworthiness

Project Summary: Overall BRIDGE Center The promise of using Big Data for precision medicine, drug discovery, and a host of other challenges has remained elusive. Social and technical barriers have limited our ability to leverage our collective data assets to address biomedical and behavioral health challenges; Artificial Intelligence (AI) solutions present an opportunity to overcome these barriers. The NIH has established the Bridge to Artificial Intelligence (Bridge2AI, or B2AI) program to catalyze AI solutions to a set of community-defined “Grand Challenges.” This concerted effort will lay the groundwork to promote the widespread adoption of AI and to ensure that it leads to trustworthy, inclusive research innovations that have a significant, positive impact on human health. The BRIDGE Center proposal includes Administrative, Teaming, Skills and Workforce Development, and Standards Cores, chosen to coincide with the Core teams’ unique and complementary expertise in large-scale team science, standards development and dissemination, innovative training approaches, and community building. The vision for the BRIDGE Center is to engage all participants within and beyond the B2AI community through carefully considered social and technical mechanisms and operational excellence, with the goal of creating a dynamic, productive, and inclusive community that builds upon each other’s work in a deeply collaborative manner. The mission of the BRIDGE Center is to complement the Bridge2AI Data Generation Projects (DGPs) by supporting the integration, dissemination, and evaluation of Bridge2AI work products and teams. We propose to achieve that mission through three aims. Aim 1 focuses on integrating across the Bridge2AI Program. Specifically, we will foster group identity to create opportunities and incentives for transdisciplinary learning; establish human & machine-understandable standards, practices, and vocabularies across B2AI; and deploy technology to promote transparency and scalability across the B2AI program. Aim 2 creates and promotes opportunities to evaluate and improve B2AI products and activities including (1) employing community-based evaluation within and across DGPs, (2) deploying data-driven evaluation and improvement of B2AI products and processes, and (3) establishing and maintaining diversity in B2AI data, people, and team structures through a continuous process of evaluation and refinement. Aim 3 focuses on sustainable dissemination of products, knowledge, best practices and “lessons learned” from B2AI thereby ensuring broad, long-lasting distribution and impact. Taken together, these Aims will create a BRIDGE Center that fosters broad community engagement, inclusivity, and trust to successfully integrate activities and knowledge across the B2AI Program; disseminate products, best practices, and skill development materials/activities; and continually assess and improve all aspects of the Bridge2AI program with input from external stakeholder communities.

项目概要：BRIDGE中心整体 将大数据用于精准医疗、药物发现和其他一系列挑战的前景， 仍然难以捉摸社会和技术障碍限制了我们利用集体数据资产的能力， 解决生物医学和行为健康挑战;人工智能（AI）解决方案提供了一个 有机会克服这些障碍。美国国立卫生研究院（NIH）建立了人工智能之桥（Bridge 2AI， 或B2 AI）计划，以催化AI解决方案，以应对一系列社区定义的“重大挑战”。这种协调一致 这一努力将为促进人工智能的广泛采用奠定基础，并确保它导致 值得信赖的，包容性的研究创新，对人类健康产生重大的积极影响。 BRIDGE中心提案包括行政、团队、技能和劳动力发展，以及 标准核心，选择与核心团队在大规模生产方面的独特和互补的专业知识相吻合 团队科学、标准制定和传播、创新培训方法和社区 建设BRIDGE中心的愿景是吸引B2 AI社区内外的所有参与者 通过仔细考虑的社会和技术机制以及卓越的运营， 创建一个充满活力，富有成效和包容性的社区，以深入的方式建立在彼此的工作基础上 合作的方式。BRIDGE中心的使命是补充Bridge 2AI数据生成 通过支持Bridge 2AI工作产品的集成、传播和评估， 团队我们建议通过三个目标来实现这一使命。目标1侧重于跨 Bridge 2AI程序。具体而言，我们将培养群体认同感，为以下方面创造机会和激励措施： 跨学科学习;建立人类和机器可理解的标准，实践和词汇 部署技术以提高整个B2 AI计划的透明度和可扩展性。目的2 创造并促进评估和改进B2 AI产品和活动的机会，包括（1） 在DGP内部和DGP之间采用基于社区的评估，（2）部署数据驱动的评估， 改进B2 AI产品和流程，以及（3）建立和维护B2 AI数据的多样性， 人员和团队结构，通过持续的评估和改进过程。目标3侧重于 可持续地传播B2 AI的产品、知识、最佳实践和“经验教训”， 确保广泛、持久的传播和影响。这些目标合在一起，将创建一个桥梁中心 促进广泛的社区参与，包容性和信任，以成功地整合活动， 跨B2 AI计划的知识;传播产品，最佳实践和技能发展 材料/活动;并根据以下方面的意见，持续评估和改进Bridge 2AI计划的各个方面： 外部利益相关者社区。