Travel: Support for U.S. Students to Receive Training on Research Cyberinfrastructure at the 2023 Annual Modeling and Simulation Conference (ANNSIM)

旅行：支持美国学生在 2023 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: 2306961
• 负责人: Philippe Giabbanelli
• 金额: $ 0.7万
• 依托单位: Miami University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306961&HistoricalAwards=false
• 关键词: Travel; Support; U.S.; Students; Receive

This award supports up to 7 U.S.-based graduate students whose training on the 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 will train students by providing access to expertise through twelve 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 Theory and Foundations 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, or 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 twelve tracks, ANNSIM includes several in-depth tutorials, taught by international experts in their field. The twelve 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. This award contributes to cyberinfrastructure training by supporting the attendance of up to 7 US-based students at the Annual Modeling Modeling and Simulation conference (ANNSIM). The conference will include a direct learning component by providing multiple tutorials, so that students can develop skills in specific software packages or apply advanced techniques relevant to the 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., PhD Colloquium with presentations followed by interactive poster sessions), which helps them connect with leading researchers to identify better tools and/or additional datasets for experiments. A barrier in cyberinfrastructure training students is not necessarily 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 gained onto open research problems in the cyberinfrastructure. Students will submit articles and receive feedback from the technical program committee in each track. The selection committee seeks students who are enrolled in an eligible US-based accredited college or university, lack access to sufficient funding to attend the conference, and have an accepted submission. The committee will make special efforts to encourage the application of members of under-represented groups and form a balanced mix of award recipients.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 7 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 将通过十二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模拟研讨会上模拟软件工具的演示以及理论和基础轨道上的模型库、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 还提供电信系统专题，涵盖软件定义网络、边缘计算或绿色节能通信等主题。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。除了这十二个轨道之外，ANNSIM 还包括几个由各自领域的国际专家教授的深入教程。十二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。该奖项支持最多 7 名美国学生参加年度建模与仿真会议 (ANNSIM)，为网络基础设施培训做出贡献。该会议将通过提供多个教程来包括直接学习部分，以便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），这有助于他们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。网络基础设施培训学生的障碍不一定是缺乏现有工具或存储库，而是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，可以将他们获得的工具应用于网络基础设施中的开放研究问题。学生将提交文章并收到每个轨道的技术计划委员会的反馈。评选委员会寻找的学生是就读于符合条件的美国认可学院或大学、缺乏足够资金参加会议且提交材料已被接受的学生。该委员会将做出特别努力，鼓励代表性不足群体的成员申请，并形成均衡的获奖者组合。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查进行评估，认为值得支持标准。