Tool Core- Boutros

工具核心-Boutros

• 批准号: 10473401
• 负责人: Paul Christopher Boutros
• 金额: $ 135.92万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10473401
• 关键词: Adoption; Algorithmic Software; Algorithms; Area; Benchmarking; Bridge to Artificial Intelligence; Communities; Computer software; Consensus Workshop; Custom; Data; Data Set; Databases; Development; Educational Materials; Educational workshop; Ensure; Ethics; Exercise; Fostering; Funding; Generations; Goals; Gold; Human; Learning Module; Link; Logic; Methods; Mission; Outcome; Registries; Resources; Services; Software Engineering; Standardization; Surveys; Time; Training; United States National Institutes of Health; Update; Vision; Visual; Work; Workforce Development; algorithm development; algorithmic methodologies; citizen science; crowdsourcing; data standards; design; innovation; member; method development; skill acquisition; software development; support tools; tool; tool development; web interface; web-accessible; working group

TOOL OPTIMIZATION CORE: ABSTRACT (PROJECT DESCRIPTION) Beyond datasets, Bridge2AI’s Data Generation Projects (DGPs) will create a rich set of software methods and tools. The Tool Optimization Core (TOC) will be a national and multi-national hub for algorithmic and methodo- logic innovation, benchmarking, standardization, optimization, and dissemination. We aspire to be a Commons that services a broad and diverse range of stakeholders: algorithm developers and users, citizen scientists, reg- ulatory bodies, and members of the public. With this overarching mission, our TOC aims to incorporate each stakeholders’ specific needs as well as merge expertise, innovation, and dissemination to enable tool optimization across the broader Bridge2AI initiative. Our Tool Optimization Core comprises five Specific Aims. First, we will support tool generalization. The TOC will serve as a Center of Excellence in benchmarking, software development, and user interface (UI) development as well as provide resources to support critical existing tools and tools generated by data generating projects (DGPs). Second, we will coordinate tool development within and beyond Bridge2AI. The TOC will coordinate benchmarking, standards-setting, and interface development for DGPs working with other NIH-funded consortia and initiatives. Third, we will benchmark and optimize tools. The TOC will identify, plan, and execute quarterly pan-Bridge2AI crowdsourced benchmarking exercises to identify and quantify best-practices while working with DGPs on a wide range of algorithms. Fourth, we will identify and fill gaps in tool development, optimization, and generalization. The TOC will create working groups across the DGPs Tool Development & Optimization Modules to identify gaps and subsequently coordinate creation of gold standard datasets and tool optimization in these spaces. Fifth, we will disseminate best practices in tool development and optimization. The TOC will create a standardized registry for sharing of tools, datasets, and benchmarking results with these resources available through programmatic and visual interfaces. These efforts will be achieved through coordination of the TOC with other BRIDGE Coordination Center Cores, particularly including the Standards Core and Skills & Workforce Development Core. Successful execution will allow the TOC to comprehensively advise DGPs, create open and coordinated tool development within and beyond Bridge2AI, develop Bridge2AI-wide benchmarking, harmonize tool development across Bridge2AI, and develop and host workshops and systematic training materials on Bridge2AI. The efforts of the TOC will support continual tool refinement and development with lasting impact for the scientific community.

工具优化核心：摘要（项目描述） 除了数据集之外，Bridge2AI 的数据生成项目 (DGP) 将创建一套丰富的软件方法和 工具。工具优化核心（TOC）将成为算法和方法的国家和跨国中心 逻辑创新、对标、标准化、优化、传播。我们渴望成为Commons 为广泛且多样化的利益相关者提供服务：算法开发人员和用户、公民科学家、监管机构 监管机构和公众。 秉承这一总体使命，我们的 TOC 旨在融入每个利益相关者的具体需求并合并 专业知识、创新和传播，以在更广泛的 Bridge2AI 计划中实现工具优化。我们的 工具优化核心包含五个具体目标。首先，我们将支持工具泛化。目录将 充当基准测试、软件开发和用户界面 (UI) 开发方面的卓越中心 以及提供资源来支持关键的现有工具和数据生成项目生成的工具 （DGP）。其次，我们将协调 Bridge2AI 内部和外部的工具开发。 TOC 将协调 与其他 NIH 资助的联盟合作，为 DGP 进行基准测试、标准制定和接口开发 和举措。第三，我们将对工具进行对标和优化。 TOC 将每季度确定、计划和执行 pan-Bridge2AI 众包基准测试练习，用于识别和量化最佳实践，同时与 DGP 涵盖多种算法。第四，我们将找出并填补工具开发、优化和改进方面的空白。 概括。 TOC 将在 DGP 工具开发和优化模块中创建工作组 找出差距并随后协调黄金标准数据集的创建和工具优化 空间。第五，我们将传播工具开发和优化的最佳实践。 TOC 将创建一个 用于利用这些可用资源共享工具、数据集和基准测试结果的标准化注册表 通过编程和可视化界面。 这些努力将通过 TOC 与其他 BRIDGE 协调中心核心的协调来实现， 特别是包括标准核心和技能与劳动力发展核心。成功执行将 允许 TOC 向 DGP 提供全面建议，在内部创建开放且协调的工具开发 除了 Bridge2AI 之外，开发 Bridge2AI 范围的基准测试，协调整个 Bridge2AI 的工具开发，以及 开发并举办有关 Bridge2AI 的研讨会和系统培训材料。 TOC 的努力将支持 不断完善和开发工具，对科学界产生持久影响。