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

项目总结：整体桥梁中心 将大数据用于精准医疗、药物研发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 有机会克服这些障碍。美国国家卫生研究院已经建立了通往人工智能的桥梁(Bridge2AI， 或B2AI)计划，以催化人工智能解决方案，以应对一系列社区定义的“重大挑战”。这是一致的 努力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、包容的研究创新，对人类健康产生重大、积极的影响。 桥梁中心提案包括行政、团队、技能和员工发展，以及 标准核心，选择与核心团队在大型项目中的独特和互补专业知识相一致 团队科学、标准制定和传播、创新培训方法和社区 大楼。桥中心的愿景是让B2AI社区内外的所有参与者参与进来 通过仔细考虑的社会和技术机制以及卓越的运作，目标是 创建一个动态、高效和包容的社区，以深入了解彼此的工作 合作的态度。桥接中心的任务是补充Bridge2AI数据生成 通过支持集成、传播和评估Bridge2AI工作产品和 团队。我们建议通过三个目标实现这一使命。目标1侧重于跨 Bridge2AI计划。具体地说，我们将培养群体认同感，以创造机会和激励 跨学科学习；建立人机可理解的标准、实践和词汇表 在整个B2AI；并部署技术，以提高整个B2AI计划的透明度和可扩展性。目标2 创造和促进评估和改进B2AI产品和活动的机会，包括(1) 在DGPS内部和跨DGPS使用基于社区的评估，(2)部署数据驱动的评估和 改进B2AI产品和流程，以及(3)建立和维护B2AI数据的多样性， 通过一个持续的评估和改进过程，对人员和团队结构进行改进。目标3侧重于 可持续地传播产品、知识、最佳做法和从B2AI吸取的“经验教训” 确保广泛、持久的分配和影响。这些目标加在一起，将创建一个桥梁中心 这促进了广泛的社区参与、包容性和信任，以成功地将活动和 B2AI计划中的知识；传播产品、最佳实践和技能发展 材料/活动；并持续评估和改进Bridge2AI计划的所有方面，其投入来自 外部利益相关者社区。

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.