Travel: Support for U.S. Students to Receive Training on Research Cyberinfrastructure at the 2024 Annual Modeling and Simulation Conference (ANNSIM)

旅行：支持美国学生在 2024 年年度建模与仿真会议 (ANNSIM) 上接受研究网络基础设施培训

• 批准号: 2425778
• 负责人: Philippe Giabbanelli
• 金额: $ 1.21万
• 依托单位: Miami University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2425778&HistoricalAwards=false
• 关键词: Travel; Support; U.S.; Students; Receive

This award supports up to 11 U.S.-based graduate students whose training on research cyberinfrastructure will substantially benefit by attending the Annual Modeling and Simulation conference (ANNSIM), which is the flagship conference of the Society for Modeling & Simulation (SCS). ANNSIM trains students by providing access to expertise through ten tracks. In particular, cyberinfrastructure training will be provided through presentations of simulation software tools in the Annual Simulation Symposium as well as model libraries, repositories, and data formats in the Digital Twins and Cyber-Physical Systems track. Since advanced networks are important for cyberinfrastructure, ANNSIM also provides a track on telecommunication systems, which covers topics such as software defined networking, edge computing, and green and energy efficient communications. Improving the use of existing datasets and software, while supporting advances in networking, software developments, standards and certifications, will contribute to cyberinfrastructure research. In addition to these ten tracks, ANNSIM includes several in-depth tutorials, taught by international experts in their field. The ten tracks and the tutorials ensure that attendees are well-aware of advances in information technology systems through advanced software, data, networked systems, and simulation environments. By providing access to leading experts, ANNSIM ensures that the next generation of scientists has the tools, motivations, and career aspirations to contribute to cyberinfrastructure. Every NSF-funded participant will be matched with a mentor chosen among the experienced scholars in attendance, which will help build a professional network. The conference includes a direct learning component providing multiple tutorials, so students can develop skills in specific software packages or apply advanced techniques relevant to research cyberinfrastructure. This research can range from software for digital twins to datasets and libraries in model-driven system design. The conference gives particular attention to students (e.g., a PhD Colloquium with presentations followed by interactive poster sessions), which helps connect with leading researchers to identify better tools and/or additional datasets for experiments. One barrier in cyberinfrastructure training for students is not just a lack of existing tools or repositories, but a lack of awareness about these tools. Keynote speakers in simulation conferences have a reputation for informing and motivating students in contributing to the cyberinfrastructure, for instance by covering methods and software for system and application performance. Attending these talks will ensure that students have specific directions to apply the tools that they have learned onto open research problems in cyberinfrastructure.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.

该奖项支持最多 11 名美国研究生，他们的研究网络基础设施培训将通过参加年度建模与仿真会议 (ANNSIM) 受益匪浅，该会议是建模与仿真学会 (SCS) 的旗舰会议。 ANNSIM 通过十个途径提供专业知识来培训学生。特别是，网络基础设施培训将通过年度仿真研讨会上的仿真软件工具演示以及数字孪生和网络物理系统轨道中的模型库、存储库和数据格式来提供。由于先进网络对于网络基础设施非常重要，因此 ANNSIM 还提供了电信系统专题，涵盖软件定义网络、边缘计算以及绿色和节能通信等主题。改善现有数据集和软件的使用，同时支持网络、软件开发、标准和认证方面的进步，将有助于网络基础设施研究。除了这十个课程之外，ANNSIM 还包括几个由各自领域的国际专家教授的深入教程。十个轨道和教程确保与会者通过先进的软件、数据、网络系统和模拟环境充分了解信息技术系统的进步。通过提供顶尖专家的联系，ANNSIM 确保下一代科学家拥有为网络基础设施做出贡献的工具、动力和职业抱负。每位 NSF 资助的参与者都将与一位从出席的经验丰富的学者中选出的导师相匹配，这将有助于建立专业网络。该会议包括提供多个教程的直接学习部分，因此学生可以培养特定软件包的技能或应用与研究网络基础设施相关的先进技术。这项研究的范围从数字孪生软件到模型驱动系统设计中的数据集和库。该会议特别关注学生（例如，博士生讨论会，先进行演讲，然后进行互动海报会议），这有助于与领先的研究人员建立联系，以确定更好的工具和/或额外的实验数据集。学生网络基础设施培训的一个障碍不仅是缺乏现有的工具或存储库，而且缺乏对这些工具的认识。模拟会议的主讲人以告知和激励学生为网络基础设施做出贡献而闻名，例如通过介绍系统和应用程序性能的方法和软件。参加这些讲座将确保学生有具体的方向，将他们所学到的工具应用于网络基础设施中的开放研究问题。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。