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，并通过越来越大的传感器和仪器网络得到增强。为了推动多个学科的创新，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;为了确保国防安全，网络基础设施（CI）研究4社会变革REU项目每年夏天都积极吸引10名本科生参加为期9周的解决与国家相关的现实世界问题的活动，教他们不仅要成为批判性思想家，还要有创造力和反思能力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，从而在支持理解广泛的社会挑战方面取得重大进展的研究领域建立能力。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。将社会变革校长与现实世界的问题解决联系起来，是招募和保留代表性不足的社区到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旨在实现三个目标：（1）通过整合计算科学、数据科学和多学科科学的学习，培养学生使用国家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管道中多样化和计算能力强的学生数量。在世界一流的超级计算中心丰富和变革的经验包括：高性能计算（HPC），可视化和数据密集型计算的培训;由德克萨斯大学（UT）奥斯汀分校的研究人员指导;在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;和领导力发展和机会，以发展和提高沟通技巧。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。使用CI，学生在工程，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;为风暴潮、潮汐和沿海环流中的多物理场、多尺度流动和运输问题开发和分析数值算法;为个性化医疗开发和分析机器学习算法。REU招收至少50%代表性不足的学生。有针对性的招聘还包括妇女，第一代大学生，以及来自研究机会有限的机构的大多数学生，包括少数民族服务机构。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。