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，随着无处不在的连接、大规模数据收集的出现，以及数据驱动人工智能 (AI) 的巨大成功，我们已经到了一个转折点，来考虑如何先进的数据驱动人工智能技术。将影响人类和机器代理以及物理基础设施的网络动力系统本次研讨会将汇集来自学术界、政府和行业的领先专家，以帮助确定本次关系中的研究和教育的有前途的方向。本次研讨会将包括受邀演讲和小组讨论。讨论，在数据驱动的创新和系统设计之间取得适当的平衡将是研讨会的重要组成部分，该报告将有助于从小组讨论和头脑风暴会议中提炼出一份会议报告。向政府和行业管理者/利益相关者通报这一重要领域的新方向和重大挑战，这些领域将在未来几十年直接影响国家的竞争力和安全。研讨会将有助于在关键领域的十字路口确定新的研究方向。 NSF 和国家研究企业的工程理事会有多个与人工智能和人工智能支持系统相关的主要研究项目，小组讨论、演讲、头脑风暴会议和最终研讨会报告将为 NSF 和赞助和利用研究的其他政府利益相关者提供信息。我们如何在相同的总学时数内有效地教授实证数据驱动和“硬科学”方法？这是研讨会将讨论的关键问题之一，也是其中之一。的在我们重新设计工程课程以适应数据驱动的人工智能革命时，我们面临的最重要的问题是汇集世界一流的专家来讨论这个问题和其他相关问题并提供见解，这对于下一代精通人工智能的系统和技术具有巨大的价值。此外，组织者将邀请精选的学生参加研讨会，特别关注女性和 URM 代表。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响进行评估，认为值得支持。审查标准。