Travel Grant: Conference on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication, and Control

差旅补助金：网络动态系统新领域会议：有保证的学习、通信和控制

• 批准号: 2335461
• 负责人: Prakash Narayan
• 金额: $ 5万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335461&HistoricalAwards=false
• 关键词: Travel; Grant; Conference; New; Frontiers

With the advent of ubiquitous connectivity, large-scale data collection, and the remarkable successes of data driven artificial intelligence (AI) in recent years, we have come to a turning point. The time is ripe to consider how advanced data-driven AI technology will impact networked dynamical systems involving both human and machine agents together with physical infrastructure. This symposium will bring together leading experts from academia, government and industry to help identify promising directions in research and education at this nexus. The symposium will comprise invited talks, panel discussions, and brainstorming sessions. Striking the right balance between data-driven innovations and systematic design will be an important part of the conversation. The outcomes of the symposium will include a meeting report distilled out of the panel discussions and the brainstorming sessions. The report will help inform government and industry stewards / stakeholders about new directions and grand challenges in this important area that will directly impact the nation's competitiveness and security in the coming decades. The symposium will help identify new research directions at the crossroads of key areas of critical interest to NSF and the nation's research enterprise. NSF's Engineering Directorate has multiple major research programs related to AI and AI-enabled systems. The panel discussions, talks, brainstorming sessions, and the final symposium report will inform NSF and other government stakeholders who sponsor and exploit research and development in these critical areas. How do we effectively teach both empirical data-driven and “hard-science” methodology at the same overall number of credit hours? This is one of the key issues that will be discussed at the Symposium, and one of the most important questions we face as we redesign engineering curricula to accommodate the data-driven AI revolution. Bringing together world-class experts to discuss and offer insights on this and other related issues is of tremendous value for the next generation of AI-savvy systems and control engineers. In addition, the organizers will invite select students to participate in the Symposium, paying particular attention to female and URM representation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

近年来，随着无处不在的连通性，大规模数据收集以及数据驱动人工智能（AI）的显着成功，我们已经到了一个转折点。考虑到高级数据驱动的AI技术将如何影响涉及人类和机器代理以及物理基础设施的网络动态系统的时间已经成熟。该研讨会将汇集来自学术界，政府和行业的领先专家，以帮助确定该联系的研究和教育方向的承诺指示。研讨会将完成邀请的演讲，小组讨论和集思广益会议。在数据驱动的创新和系统设计之间达到正确的平衡将是对话的重要组成部分。研讨会的结果将包括一份从小组讨论中提取的会议报告和集思广益会议。该报告将有助于向政府和行业的管理者 /利益相关者告知这一重要领域的新方向和巨大挑战，这将直接影响未来几十年中国家的竞争力和安全性。该研讨会将有助于确定NSF和国家研究企业关键关键领域的关键领域的十字路口的新研究指示。 NSF的工程局拥有与AI和AI-Systems有关的多个主要研究计划。小组讨论，会谈，集思广益会议以及最终研讨会报告将告知NSF和其他政府利益相关者，他们赞助和利用这些关键领域的研发。我们如何在相同的总体数小时内有效地教经验数据驱动和“硬科学”方法？这是在研讨会上讨论的关键问题之一，也是我们重新设计工程课程以适应数据驱动的AI革命时面临的最重要问题之一。召集世界一流的专家讨论和提供有关此和其他相关问题的见解，对于下一代AI精通的系统和控制工程师具有巨大的价值。此外，组织者将邀请选定的学生参加研讨会，特别关注女性和URM代表。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估被认为是宝贵的支持。