Skills and Workforce Core- Ping/Watson

技能和劳动力核心 - Ping/Watson

• 批准号: 10863104
• 负责人: KAROL E WATSON
• 金额: $ 58.6万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-06 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10863104
• 关键词: Address; Adoption; Algorithms; Area; Artificial Intelligence; Awareness; Behavioral; Behavioral Research; Benchmarking; Bridge to Artificial Intelligence; Clinical Data; Communities; Comprehension; Computers; Computing Methodologies; Data; Data Science; Data Set; Development; Dimensions; Discipline; Disparity population; Diverse Workforce; Education; Educational Activities; Educational Background; Educational Curriculum; Educational Materials; Educational process of instructing; Ensure; Ethical Issues; Ethics; Evolution; Faculty; Familiarity; Feedback; Fostering; Foundations; Future; Generations; Goals; Heterogeneity; Hispanic-serving Institution; Historically Black Colleges and Universities; Individual; Infrastructure; Interdisciplinary Study; Knowledge; Learning; Learning Module; Libraries; Link; Mentors; Mentorship; Methods; Minority Groups; Mission; Nature; Outcome; Physicians; Policies; Recommendation; Research; Research Personnel; Resource Development; Resource Sharing; Resources; Science; Scientist; Series; Shapes; Techniques; Training; Training Activity; Training Programs; Underrepresented Minority; Voice; Work; Workforce Development; algorithm development; artificial intelligence method; biomedical data science; biomedical informatics; career; career preparation; complex data; data framework; data standards; data tools; design; education planning; education resources; equity, diversity, and inclusion; ethical, legal, and social implication; expectation; experience; forging; graduate student; hackathon; health care delivery; improved; insight; interest; meetings; novel; outreach; programs; skill acquisition; skills; social; success; theories; tool; training opportunity; training project; trustworthiness; undergraduate student; underserved community

SKILLS & WORKFORCE DEVELOPMENT: ABSTRACT (PROJECT DESCRIPTION) Bridge2AI’s Data Generation Projects (DGPs) will be establishing flagship AI-ready datasets. These will provide a foundation to establish new opportunities to train individuals in about the use of artificial intelligence (AI) and data-driven methods. Yet there is increasing recognition that there is not a “one-size-fits-all” approach to training researchers in this space, given its highly interdisciplinary nature. Some individuals are interested in algorithmic improvements; others are focused on the sociotechnical implications of AI; still others actively engage with inter- disciplinary research. The heterogeneity of backgrounds and interests of individuals wanting to gain skills and knowledge in biomedical/behavioral AI requires a dynamic, thoughtful approach that maximizes the utility of the DGPs and embraces the diversity of individuals needed to ensure biomedical/behavioral AI benefits everyone. This Skills & Workforce Development Core (SWDC) is designed to work with the DGP Training Modules and to facilitate the use of DGP products and providing myriad opportunities and venues for their understanding and use. To do so, it will be closely integrated with the other BRIDGE Coordination Center (CC) Cores. It will garner feedback from a broad variety of end users and stakeholders as to how DGP products are perceived and can be improved. The SWDC’s mission is threefold: 1) developing educational modules and activities around DGP datasets and tools, illustrating key concepts in contemporary AI, covering both technical concepts and issues around ethical and trustworthy AI (ETAI, with the Ethics Core); 2) implementing strategies across the DGPs to provide a dynamic way for different learners to receive a customized curricula that provides the skillset, (practical) knowledge, and experience that is desired; and 3) tackling the urgent need for more diversity in biomedical data science through novel engagement programs that leverage the Bridge2AI products, creating opportunities for mentorship and long-term impact. This mission is realized across two specific aims: 1) to develop curricula, educational materials, and interactive sessions with the DGPs, thereby addressing skills development; and 2) to develop training opportunities for a new, diverse, and AI-ready workforce, building infrastructure and relation- ships to enable workforce development. A series of meetings are planned to understand the DGPs datasets and tools, from which we can identify common opportunities and set priorities to develop educational modules and plan activities, including data jamborees and hackathons (in conjunction with the Standards and Tool Optimiza- tion Cores). Building atop this library of modules and other resources, we plan to create novel methods to tailor a set of recommended courses for a learner, given their stated educational background, familiarity with AI, and targeted use of skills. Importantly, all these developments will be informed by our commitment to equity, diversity, and inclusion (EDI) as we look to meaningfully engage underrepresented minorities and disadvantage individuals in biomedical data science, ensuring their presences and voices in its future.

技能和劳动力发展：摘要（项目描述） Bridge2AI 的数据生成项目 (DGP) 将建立旗舰级 AI 就绪数据集。 建立新的机会来培训个人使用人工智能（AI）和 然而，人们越来越认识到，不存在“一刀切”的培训方法。 鉴于其高度跨学科的性质，一些人对算法感兴趣。 其他人则关注人工智能的社会技术影响；还有一些人积极参与互动； 学科研究。想要获得技能和兴趣的个人的背景和兴趣的异质性。 生物医学/行为人工智能知识需要一种动态、深思熟虑的方法，以最大限度地发挥人工智能的效用 DGP 并拥抱确保生物医学/行为人工智能造福每个人所需的个体多样性。 该技能和劳动力发展核心 (SWDC) 旨在与 DGP 培训模块配合使用，并 促进 DGP 产品的使用，并为他们的理解和理解提供无数的机会和场所 为此，它将与其他 BRIDGE 协调中心 (CC) 核心紧密集成。 广泛的最终用户和利益相关者就如何看待 DGP 产品以及如何使用 DGP 产品提供反馈 SWDC 的使命有三个：1) 围绕 DGP 开发教育模块和活动。 数据集和工具，说明当代人工智能的关键概念，涵盖技术概念和问题 围绕道德和值得信赖的人工智能（ETAI，道德核心 2）在 DGP 中实施战略，以 为不同的学习者提供一种动态的方式来接收提供技能组合的定制课程，（实用） 所需的知识和经验；3) 协商生物医学数据更多多样性的迫切需要 通过利用 Bridge2AI 产品的新颖参与计划进行科学，为 这一使命通过两个具体目标来实现：1）开发课程， 教育材料以及与 DGP 的互动会议，从而解决技能发展问题；2) 为新的、多样化的、人工智能就绪的劳动力开发培训机会，建设基础设施和关系 计划举行一系列会议来了解 DGP 数据集和支持劳动力发展。 工具，我们可以从中识别共同的机会并确定开发教育模块和 计划活动，包括数据盛宴和黑客马拉松（与标准和工具优化结合使用） 构建在这个模块库和其他资源之上，我们计划创建新颖的方法来定制。 根据学习者陈述的教育背景、对人工智能的熟悉程度以及 重要的是，所有这些发展都将基于我们对公平、多样性、 和包容性 (EDI)，因为我们希望有意义地让代表性不足的少数群体和弱势群体参与其中 在生物医学数据科学领域，确保他们在未来的存在和声音。