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; 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.

该奖项支持多达11名美国的研究生，他们的研究网络基础设施培训将通过参加年度建模和仿真会议（ANNSIM），这是建模与模拟协会（SCS）的旗舰会议。 Annsim通过通过十个曲目提供专业知识来训练学生。特别是，将通过年度仿真研讨会中的仿真软件工具以及模型库，存储库和数据格式中的模拟软件工具提供网络基础培训。由于高级网络对于网络基础架构很重要，因此Annsim还提供了有关电信系统的轨道，该系统涵盖了诸如软件定义的网络，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，标准和认证的进展，将有助于Cyber​​infrastructure研究。除了这十个曲目外，Annsim还包括几个由国际专家在其领域教授的深入教程。十个曲目和教程确保与会者通过高级软件，数据，网络系统和仿真环境了解信息技术系统的进步。通过提供与领先的专家的访问，Annsim确保下一代科学家具有为网络基础设施做出贡献的工具，动机和职业愿望。每个由NSF资助的参与者都将与参加会议的经验丰富的学者中选择的导师相匹配，这将有助于建立专业的网络。会议包括提供多个教程的直接学习组件，因此学生可以开发特定软件包的技能或应用与研究网络基础结构相关的高级技术。这项研究的范围从数字双胞胎的软件到模型驱动系统设计的数据集和库。会议特别关注学生（例如，一位博士学位座谈会和演讲，然后是交互式海报会议），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/或其他实验数据集。为学生进行网络基础设施培训的一个障碍不仅是缺乏现有工具或存储库，而且缺乏对这些工具的认识。模拟会议中的主题演讲者在告知和激励学生为网络基础架构做出贡献方面享有声誉，例如，通过涵盖用于系统和应用程序性能的方法和软件。参加这些谈话将确保学生有具体的指导，将他们所学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的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估标准的评估值得支持的。