REU Site: Cyberinfrastructure (CI) Research 4 Social Change

REU 网站：网络基础设施 (CI) 研究 4 社会变革

• 批准号: 1852538
• 负责人: Rosalia Gomez
• 金额: $ 32.37万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852538&HistoricalAwards=false
• 关键词: REU; Site; Cyberinfrastructure; CI; Research

The world is increasingly more dependent on computational power, augmented by larger and larger networks of sensors and instruments. To fuel innovation across multiple disciplines, advanced computing (data, high performance computing, analytics) is required to keep pace with and accelerate the rate of scientific discoveries. In response to the National Science Foundation's mission to promote the progress of science; advance the national health, prosperity and welfare; and secure the national defense, the Cyberinfrastructure (CI) Research 4 Social Change REU project is actively engaging ten undergraduate students each summer for nine-weeks in solving real-world problems of national relevance, teaching them to not only be critical thinkers, but to be creative and reflective as well. The REU project is preparing the future scientific workforce to use advanced CI resources, thus building capacity in research areas that support major advances in understanding across a broad range of societal challenges. Students have a strong desire to have an impact in their communities, a strong desire to have a sense of belonging, and a strong desire to be materially part of something larger than themselves. Connecting social change principals to real-world problem solving is key to long-term success for recruiting and retaining underrepresented communities to computational fields and for preparing students to leverage the national CI. The REU aims to meet three objectives: (1) train students to use the national CI by integrating learning of computational science, data-enabled science and multi-disciplinary science in preparation for graduate programs and the workforce; (2) train students to apply advanced computational skills, critical thinking, and creativity to address problems relevant to society; and (3) increase the number of diverse and computationally competent students in the STEM pipeline. The enriching and transformative experience at a world-class supercomputing center includes: training in High Performance Computing (HPC), visualization, and data intensive computing; mentoring by The University of Texas (UT) at Austin researchers; social and team-building activities on the UT Austin campus; professional development and graduate school preparation; and leadership development and opportunities to develop and enhance communication skills. Research projects emphasize advanced computing as a tool to power discoveries that will impact social change for future generations. Using the CI, students conduct cutting-edge research in engineering, science, and computational medicine: helping automate processes in support of cleaner energy sources for production of biofuel; enhancing research resources for modeling/prediction of porous material properties in fields of petroleum, civil and environmental engineering as well as geology; using data science and visualization to illustrate interfaces between science, traditional culture, and pressing societal problems in the Pacific region; developing and analyzing numerical algorithms for multiphysics, multiscale flow and transport problems in storm surge, tides, and coastal circulation; and developing and analyzing machine learning algorithms for individualized medicine. The REU recruits at least 50% underrepresented students. Targeted recruitment also includes women, first-generation college students, and majority students from institutions with limited research opportunities, including Minority-Serving Institutions.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.

世界越来越依赖计算能力，而越来越大的传感器和仪器网络也增强了计算能力。为了推动跨学科创新，需要先进计算（数据、高性能计算、分析）来跟上并加快科学发现的速度。响应国家科学基金会促进科学进步的使命；促进国民健康、繁荣和福利；为了确保国防安全，网络基础设施 (CI) 研究 4 社会变革 REU 项目每年夏天都会积极吸引 10 名本科生，为期九周，解决与国家相关的现实问题，教导他们不仅成为批判性思考者，而且也要有创造力和反思性。 REU 项目正在为未来的科学劳动力做好准备，以使用先进的 CI 资源，从而建设研究领域的能力，支持在理解广泛的社会挑战方面取得重大进展。学生强烈渴望对社区产生影响，强烈渴望拥有归属感，并强烈渴望成为比自己更大的事物的物质一部分。将社会变革原则与现实世界的问题解决联系起来，对于招募和留住代表性不足的社区进入计算领域以及让学生做好充分利用国家 CI 的准备是长期成功的关键。 REU 旨在实现三个目标：（1）通过整合计算科学、数据驱动科学和多学科科学的学习，培训学生使用国家 CI，为研究生课程和劳动力做好准备； (2) 培养学生运用先进的计算技能、批判性思维和创造力来解决与社会相关的问题； (3) 增加 STEM 人才梯队中多样化且具有计算能力的学生数量。世界级超级计算中心的丰富和变革性经验包括：高性能计算 (HPC)、可视化和数据密集型计算方面的培训；由德克萨斯大学奥斯汀分校研究人员指导； UT 奥斯汀校区的社交和团队建设活动；专业发展和研究生院准备；领导力发展以及发展和增强沟通技巧的机会。研究项目强调先进计算作为推动发现的工具，这些发现将影响子孙后代的社会变革。利用 CI，学生可以在工程、科学和计算医学领域进行前沿研究：帮助自动化流程，支持生物燃料生产的清洁能源；增强石油、土木和环境工程以及地质领域多孔材料特性建模/预测的研究资源；使用数据科学和可视化来说明科学、传统文化和太平洋地区紧迫的社会问题之间的联系；开发和分析风暴潮、潮汐和沿海环流中的多物理、多尺度流动和输送问题的数值算法；开发和分析个体化医疗的机器学习算法。 REU 招收至少 50% 的代表性不足的学生。有针对性的招募还包括女性、第一代大学生以及来自研究机会有限的机构（包括少数族裔服务机构）的大多数学生。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评估进行评估，被认为值得支持。影响审查标准。