NSF Student Travel Grant for 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS)

NSF 学生旅费资助 2020 年 ACM SIGSIM 高级离散仿真原理会议 (PADS)

• 批准号: 2303475
• 负责人: Dong Jin
• 金额: $ 0.5万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-11-01 至 2023-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2303475&HistoricalAwards=false
• 关键词: NSF; Student; Travel; Grant; 2020

Discrete simulations are widely employed across a variety of settings, from the large-scale models that are commonplace in national laboratories (e.g., to simulate particles or populations) to industrial applications (e.g., in healthcare or transportation). The growing interest in simulations is also fueled by dynamic research in big data, which is both used and generated by simulations. In line with ongoing national efforts to train and diversify the workforce in science, this award supports students in the United States to attend the annual Conference on Principles of Advanced Discrete Simulation held in Miami in June, 2020, with special emphasis on members of under-represented groups such as female, minorities, and students with disabilities. This serves the national interest, as stated by NSF's mission, to promote the progress of science as it provides a forum to disseminate research efforts, connect researchers, and train the next generation of scholars.Selected students have access to traditional opportunities to support their career success and gain tools that support the advancement of science in theoretical as well as applied research on discrete simulations. Such traditional opportunities include presenting their work at the event (through oral presentations as well as posters), developing their scientific networks, and acquiring new state-of-the-art methods. Although the conference builds on a rich history dating back to 1985, the innovative format of the 2020 edition goes beyond traditional opportunities offered to students. In particular, the conference actively supports workforce development and the advancement of science by organizing (i) panels on careers beyond a doctoral program, with contributors from national laboratories, liberal arts colleges, and research universities; and (ii) a PhD colloquium where students create and present a poster, among other activities. The funding provided by NSF thus has a significant impact on the careers of the future generation of researchers in discrete simulation, while encouraging diversity in the field.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.

离散模拟被广泛应用于各种环境中，从国家实验室中常见的大规模模型(例如，用于模拟颗粒或种群)到工业应用(例如，在医疗保健或交通运输中)。对大数据的动态研究也推动了人们对模拟日益增长的兴趣，大数据既由模拟使用，也由模拟生成。为了配合国家正在进行的科学劳动力培训和多样化努力，该奖项支持美国学生参加2020年6月在迈阿密举行的年度先进离散模拟原理会议，特别强调代表不足的群体的成员，如女性、少数族裔和残疾学生。正如NSF的使命所述，这符合国家利益，促进科学进步，因为它提供了一个论坛，以传播研究成果，联系研究人员，并培训下一代学者。被选中的学生有机会获得传统机会，以支持他们的职业成功，并获得支持离散模拟理论和应用研究方面的科学进步的工具。这样的传统机会包括在活动中展示他们的作品(通过口头演示和海报)，发展他们的科学网络，以及获得新的最先进的方法。尽管这次会议的历史可以追溯到1985年，但2020年会议的创新形式超越了为学生提供的传统机会。特别是，会议积极支持劳动力发展和科学进步，方法是组织(I)由来自国家实验室、文理学院和研究型大学的贡献者参加的博士项目以外的职业小组讨论；(Ii)在博士座谈会上，学生创作并展示海报，以及其他活动。因此，NSF提供的资金对未来一代离散模拟研究人员的职业生涯产生了重大影响，同时鼓励了该领域的多样性。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审查标准进行评估，被认为值得支持。