REU Site: Cyberinfrastructure Research 4 Social Change

REU 网站：网络基础设施研究 4 社会变革

• 批准号: 2150390
• 负责人: Rosalia Gomez
• 金额: $ 36.08万
• 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: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150390&HistoricalAwards=false
• 关键词: REU; Site; Cyberinfrastructure; Research; Social

The world is becoming increasingly more dependent on computational power, augmented by an ever-larger network of sensors and instruments. As the scientific research landscape rapidly evolves, it is no longer sufficient to limit training and educational skills to a single discipline. To fuel innovation across multiple scientific 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 site project is actively engaging ten undergraduate students each summer for nine weeks to solve real-world problems of national relevance. The REU site 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 principles to real-world problem solving is key to long-term success for recruiting and retaining students from underrepresented communities into computational fields and for preparing students to leverage the national CI.The REU site aims to meet three objectives: (1) train students to use the national Cyberinfrastructure (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 diversity and number of computationally trained students in the STEM pipeline. The program offers an enriching and transformative experience at a world-class supercomputing center and includes: training using TACC (Texas Advanced Computing Center) resources; mentoring by The University of Texas (UT) at Austin and TACC researchers, social and team-building activities on the UT Austin campus, professional development and graduate school preparation, 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 advanced CI, students will conduct cutting-edge research in engineering, science, and computational medicine: help automate processes in support of cleaner energy sources for production of biofuel; enhance research resources for modeling/prediction of porous material properties in fields of petroleum, civil and environmental engineering as well as geology; use data science and visualization methods to illustrate interfaces between science, traditional culture, and pressing societal problems in the Pacific region; develop and analyze numerical algorithms for multiphysics, multiscale flow and transport problems in storm surge, tides, and coastal circulation; and develop and analyze machine learning algorithms for individualized medicine. The REU site will recruit underrepresented students including Latinxs/Hispanics, African Americans/Blacks, and Native Hawaiian and Pacific Islanders (NHPI). Targeted recruitment will also include women, first-generation college students, and the students from teaching-intensive institutions, 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.

世界正变得越来越依赖计算能力，而日益庞大的传感器和仪器网络也增强了计算能力。随着科学研究领域的迅速发展，将培训和教育技能限制在单一学科已不再足够。为了推动多个科学学科的创新，需要先进的计算（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) Research 4 Social Change REU 站点项目每年夏天积极吸引 10 名本科生参与为期九周的活动，以解决与国家相关的现实问题。 REU 站点项目正在为未来的科学劳动力使用先进的 CI 资源做好准备，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，是长期成功招募和留住来自代表性不足社区的学生进入计算领域以及帮助学生做好利用国家 CI 的准备的关键。REU 网站旨在实现三个目标：(1)通过整合计算科学、数据驱动科学和多学科科学的学习，培训学生使用国家网络基础设施 (CI)，为研究生课程和劳动力做好准备，(2) 培训学生应用高级计算技能、批判性思维和创造性地解决与社会相关的问题， (3) 增加 STEM 管道中受过计算训练的学生的多样性和数量。该计划在世界一流的超级计算中心提供丰富且变革性的体验，包括：使用 TACC（德克萨斯州高级计算中心）资源进行培训；德克萨斯大学奥斯汀分校 (UT) 和 TACC 研究人员的指导、德克萨斯大学奥斯汀分校校园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能的机会。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。学生将利用先进的 CI 进行工程、科学和计算医学领域的前沿研究：帮助实现流程自动化，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方法来说明科学、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 网站将招收代表性不足的学生，包括拉丁裔/西班牙裔、非裔美国人/黑人以及夏威夷原住民和太平洋岛民 (NHPI)。有针对性的招募还将包括女性、第一代大学生以及来自教学密集型机构（包括少数族裔服务机构）的学生。该奖项反映了 NSF 的法定使命，并通过利用基金会的智力优势和更广泛的评估进行评估，认为值得支持。影响审查标准。