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，并通过越来越大的传感器和仪器网络得到增强。随着科学研究领域的迅速发展，将培训和教育技能局限于单一学科已经不够。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。为了响应国家科学基金会的使命，以促进科学的进步;推进国家的健康，繁荣和福利;并确保国防，网络基础设施（CI）研究4社会变化REU网站项目正在积极从事十名本科生每年夏天九周，以解决国家相关的现实世界的问题。REU网站项目正在准备未来的科学劳动力使用先进的CI资源，从而在研究领域建立能力，支持在广泛的社会挑战的理解方面取得重大进展。学生有强烈的愿望，有在他们的社区的影响，强烈的愿望有归属感，并强烈的愿望是物质上的东西比自己更大的一部分。将社会变革原则与现实世界的问题解决联系起来，是从代表性不足的社区招募和留住学生进入计算领域并为学生利用国家CI做好准备的长期成功的关键。REU网站旨在实现三个目标：（1）通过整合计算科学的学习，培养学生使用国家网络基础设施（CI），数据支持的科学和多学科科学，为研究生课程和劳动力做准备，（2）培养学生应用先进的计算技能，批判性思维和创造力来解决与社会相关的问题，以及（3）增加STEM管道中受过计算训练的学生的多样性和数量。该计划在世界级的超级计算中心提供丰富和变革性的体验，包括：使用TACC（德克萨斯州高级计算中心）资源的培训;德克萨斯大学奥斯汀分校（UT）和TACC研究人员的指导，UT奥斯汀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提高沟通技能的机会。研究项目强调先进的计算作为一种工具，以动力的发现，将影响未来几代人的社会变革。利用先进的CI，学生将在工程，科学和计算医学方面进行前沿研究：帮助自动化过程，以支持生产生物燃料的清洁能源;增强石油，土木和环境工程以及地质学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界面;开发和分析风暴潮、潮汐和沿海环流中多物理场、多尺度流动和运输问题的数值算法;开发和分析个性化医疗的机器学习算法。REU网站将招募代表性不足的学生，包括拉丁裔/西班牙裔，非洲裔美国人/黑人，夏威夷土著和太平洋岛民（NHPI）。有针对性的招聘也将包括妇女，第一代大学生，以及来自教学密集型机构的学生，包括少数民族服务机构。这个奖项反映了NSF的法定使命，并已被认为是值得支持的，通过评估使用基金会的智力价值和更广泛的影响审查标准。