CI-TEAM Implementation Project: Collaborative Research: Training Simulation Scientists in Advanced Cyberinfrastructure Tools and Concepts

CI-TEAM 实施项目：协作研究：培训模拟科学家掌握先进的网络基础设施工具和概念

• 批准号: 0636336
• 负责人: George Karniadakis
• 金额: $ 38.44万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0636336&HistoricalAwards=false
• 关键词: CI; TEAM; Implementation; Project; Collaborative

PIs: George Karniadakis (Brown University), Steven Dong (Purdue University) andNicholas Karonis (Northern Illinois University)Number: CI-TEAM Proposal 0636336Title: CI-TEAM Implementation Project: Collaborative Research: Training Simulation Scientists in Advanced Cyberinfrastructure Tools and ConceptsProject Abstract:Harnessing the most powerful open computational resources of the nation as integrated by the TeraGrid (TG) and its future extensions will enable otherwise infeasible discoveries in simulation science, in general, and in life sciences, in particular, as well as presenting an unprecedented opportunity to share this unique scientific achievement with our nation's students and educators. Our demonstration of using effectively TG resources in performing the first cross-site simulations and visualizations of the human arterial tree has created great enthusiasm among faculty and their students who are interested in accessing this new simulation environment. As developers and users of some of the most advanced tools in computational science today, we want to make these tools available to the wider scientific community, to train the trainers, and to engage postdocs, graduate and undergraduate students as well as high school students and their teachers in this effort. Our goal is to lower barriers to the use of TG simulations and our objectives are to: (1) mobilize the biomechanics research community, (2) train a new generation of simulation scientists, and (3) inspire young students to become tomorrow's leaders in inter-disciplinary simulation science. To this end, we will implement a biomechanics gateway on the TG and establish it as the main platform and simulation framework for further developments and biomedical research. The framework we have developed for the human arterial tree can serve as the common thread in integrating a number of large biological endeavors into a coherent and exciting future research direction and in developing effective new training methods. Broader Impact: The software implemented in this project will be open source and will be distributed to all TG users, facilitating a transition in computational biology from traditional computing to grid computing on the TG with potentially unlimited scalability. The new simulation environment will be critical in educating and training a new generation of inter-disciplinary scientists to be comfortable in using advanced software tools and concepts across many disciplines. New courses developed in this project, on grid computing, multiscale biological modeling, and scientific visualization in immersive interactive environments will better prepare future generations of scientists and engineers and educators in the use and development of cyberinfrastructure. We will work with community colleges in the Chicago area to train their faculty. This project also promotes engaging students, especially undergraduates, of diverse groups in inter-disciplinary projects, and in outreach activities engaging high school students, especially women and minorities.

PIS：乔治·卡尼亚达克斯（棕色大学），史蒂文·董（普渡大学）和尼古拉斯·卡罗尼斯（Nnicholas Karonis）（北伊利诺伊州北部大学）编号：CI团队建议0636336TITLE：CI团队实施项目：协作研究：协作研究：培训模拟的科学家在高级范围内的工具和概念上的概念范围的摘要： Teragrid（TG）及其未来的扩展将使原本不可行的模拟科学发现，尤其是生命科学，并提供了一个前所未有的机会，可以与我们国家的学生和教育者分享这一独特的科学成就。我们的演示有效地利用TG资源来执行人类动脉树的第一个跨站点模拟和可视化，这在有兴趣访问这种新的模拟环境的教职员工中产生了极大的热情。作为当今计算科学中一些最先进的工具的开发人员和用户，我们希望使这些工具可用于更广泛的科学界，培训培训师，并与博士后，研究生和本科生以及高中生及其老师一起参与这项工作。我们的目标是降低使用TG模拟的障碍，我们的目标是：（1）动员生物力学研究界，（2）培训新一代的模拟科学家，（3）激发年轻学生成为跨学科模拟科学的明天领导者。为此，我们将在TG上实施生物力学网关，并将其确立为进一步发展和生物医学研究的主要平台和仿真框架。我们为人类动脉树开发的框架可以作为将许多大型生物学努力整合到一个连贯且令人兴奋的未来研究方向以及开发有效的新训练方法的共同点。 更广泛的影响：该项目中实施的软件将是开源的，并将分发给所有TG用户，从而促进了从传统计算机到TG上具有潜在无限可伸缩性的计算生物学的过渡。新的仿真环境对于教育和培训新一代的跨学科科学家将在许多学科中使用先进的软件工具和概念很舒服。 在该项目中开发的新课程，网格计算，多尺度生物建模以及沉浸式互动环境中的科学可视化将更好地为子孙后代的科学家，工程师和教育工作者做好准备，以使用和开发网络基础设施。我们将与芝加哥地区的社区大学合作培训他们的教职员工。该项目还促进了跨学科项目的不同群体的吸引学生，特别是本科生，并在宣传活动中吸引了高中生，尤其是妇女和少数群体。