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; 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.

世界越来越依赖于计算能力，通过传感器和仪器网络增强。随着科学研究局势的迅速发展，它不再足以将培训和教育技能限制在一门学科上。为了促进多个科学学科的创新，需要高级计算（数据，高性能计算，分析）来跟上和加速科学发现的速度。为了回应国家科学基金会促进科学进步的使命；促进民族健康，繁荣和福利；并确保国防部，Cyber​​infrasture（CI）研究4社会变革场地项目每年夏天积极吸引十个本科生，持续9周，以解决现实世界中的国家相关性问题。 REU网站项目正在为未来的科学劳动力准备使用高级CI资源，从而在研究领域建立了支持在广泛社会挑战中理解的重大进步的研究领域。学生强烈希望对自己的社区产生影响，强烈希望拥有归属感，并强烈希望成为比自己更大的事物的一部分。将社会变革原则与现实世界中的问题解决是长期成功的关键，这对于将代表性不足的社区招募和保留学生留在计算领域中，并准备学生利用国家CI的准备。REU网站旨在实现三个目标：（1）培训学生通过对国家的CYBERINTARTION（CI）进行计算科学和跨性别科学的学习，以进行计算科学和跨度科学，以进行计算科学，并启用计算科学，并启用计算科学，并启用了跨度科学，并启用了数据启发，并启用了跨度科学，并启用了跨度科学，并启用了跨度科学，并培训了跨越计算的科学启用计划。劳动力，（2）培训学生采用高级计算技能，批判性思维和创造力来解决与社会有关的问题，以及（3）增加STEM管道中经过计算培训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了丰富而变革的体验，其中包括：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（UT）在奥斯汀大学和TACC研究人员的指导下，在UT Austin校园，专业发展和研究生院的准备，领导力发展以及发展和增强沟通技巧的机会。研究项目强调先进的计算是为了影响后代的社会变革而动力的工具。使用高级CI，学生将在工程，科学和计算医学方面进行最先进的研究：帮助自动化工艺以支持生产生物燃料的清洁能源；增强用于建模/预测石油，土木和环境工程以及地质田间多孔材料特性的研究资源；使用数据科学和可视化方法来说明太平洋地区的科学，传统文化和紧迫的社会问题之间的界面；开发和分析用于多物理学，多尺度流动和运输问题的数值算法，潮汐和沿海循环中；并开发和分析用于个性化医学的机器学习算法。 REU网站将招募包括拉丁裔/西班牙裔，非洲裔美国人/黑人以及夏威夷原住民和太平洋岛民（NHPI）在内的代表性不足的学生。有针对性的招聘还将包括妇女，第一代大学生以及包括少数派服务机构在内的教学密集型机构的学生。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优点和更广泛影响的审查标准通过评估来获得支持的。