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: 0636252
• 负责人: Suchuan Dong
• 金额: $ 19.41万
• 依托单位: Purdue 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 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0636252&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.

pi: George Karniadakis（布朗大学），Steven Dong（普渡大学）和nicholas Karonis（北伊利诺伊大学）编号：CI-TEAM提案0636336标题：CI-TEAM实施项目：合作研究；项目摘要：利用由TeraGrid （TG）整合的全国最强大的开放计算资源及其未来扩展，将使模拟科学，特别是生命科学领域的其他不可思议的发现成为可能，并提供前所未有的机会与我们国家的学生和教育工作者分享这一独特的科学成就。我们的演示有效地利用TG资源进行第一次跨站点模拟和人类动脉树的可视化，在有兴趣访问这种新的模拟环境的教师和学生中引起了极大的热情。作为当今计算科学中一些最先进工具的开发者和用户，我们希望将这些工具提供给更广泛的科学界，培训培训人员，并吸引博士后、研究生和本科生以及高中生和他们的老师参与这项工作。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)培养新一代模拟科学家，(3)激励年轻学生成为跨学科模拟科学的未来领导者。为此，我们将在TG上实现生物力学网关，并将其作为进一步开发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连贯且令人兴奋的未来研究方向和开发有效的新训练方法的共同线索。更广泛的影响：在这个项目中实现的软件将是开源的，并将分发给所有TG用户，促进计算生物学从传统计算到网格计算在TG上的过渡，具有无限的可扩展性。新的模拟环境对于教育和培训新一代跨学科科学家至关重要，使他们能够自如地使用跨多个学科的先进软件工具和概念。在这个项目中开发的关于网格计算、多尺度生物建模和沉浸式交互环境中的科学可视化的新课程，将更好地为未来几代科学家、工程师和教育工作者在使用和开发网络基础设施方面做好准备。我们将与芝加哥地区的社区学院合作，培训他们的教员。该项目还促进不同群体的学生，特别是本科生参与跨学科项目，并促进高中生，特别是妇女和少数民族学生参与外联活动。