CC* Team: Research Innovation with Scientists and Engineers (RISE)

CC* 团队:科学家和工程师的研究创新 (RISE)

基本信息

  • 批准号:
    2018299
  • 负责人:
  • 金额:
    $ 186.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

The pace of scientific discovery and the dissemination of scientific knowledge are increasingly being driven by computation through modeling, data science, and digital communication platforms. Not all researchers are equally positioned to leverage this computational revolution due to having inadequate expertise in their groups or insufficient funding to hire computational experts into full time positions. Penn State is working to ensure that researchers and educators across the 24-campus Penn State system have access to the cutting-edge cyberinfrastructure and computational expertise that they need to conduct the highest quality research and education. Penn State's approach is to build a team of cyberinfrastructure facilitators who are shared across investigators and who consult on projects at various scales to bring shared knowledge and the best-practices of modern computational techniques and tools to the broadest possible Penn State community. These facilitators, known as the "Research Innovation with Scientists and Engineers" (RISE) team, are experts in databases, visualization, code optimization, application development, web services, and cloud computing. They have broad knowledge of research cyberinfrastructure and are able to architect, design, and develop new cyberinfrastructure. They will also have deep knowledge of various scientific domains and will enable computational discovery. Investing in such a team will pay substantial dividends through increased productivity of faculty, more efficient use of research and education funding, and ultimately new discoveries across a broad swath of scientific domains including Physics, Astronomy, Bioinformatics, Chemistry, Energy, and Climate Modeling.This project builds a cyber-team for Research Innovation with Scientists and Engineers (RISE) who will partner with campus-level CI experts, domain scientists, research groups, and educators to drive new approaches that support scientific discovery across the state-wide Pennsylvania State University system including 24 campuses serving more than 100,000 students. The RISE team will directly facilitate the usage and creation of research cyberinfrastructure across domains including Astronomy, Biology, Chemistry, Meteorology, Physics and more through consulting and providing direct services to faculty. The RISE team will partner with the Open Science Grid to establish Penn State as an OSG site, develop replica-exchange molecular dynamics software, apply machine learning to molecular biophysics, build digital signal processing software for radio astronomy, collaborate on feature development and testing with HTCondor, onboard new climate modeling tools and software in a sustainable and maintainable ecosystem, develop a gene sequencing management platform, deploy and maintain infrastructure to support real-time gravitational wave analysis with LIGO, and build a science gateway for stellar astrophysics simulations. Through the RISE team's shared knowledge, they will elevate the productivity of researchers who use and develop cyberinfrastructure allowing them to accomplish far more than they could in isolation. In order to broaden participation, the investigators will develop a seed grant program whereby faculty can apply to receive extended engagement with the RISE team where members would be embedded into research groups. RISE members will also regularly conduct training workshops and seminars in response to the needs of faculty across all Penn State campuses. Participation broadening and coordination activities will involve regular travel among the branch campuses by RISE team members and project investigators.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.
科学发现和科学知识传播的步伐越来越多地受到建模、数据科学和数字通信平台计算的推动。并非所有研究人员都能够平等地利用这场计算革命,因为他们的团队缺乏专业知识,或者没有足够的资金来聘请计算专家担任全职职位。 宾夕法尼亚州立大学正在努力确保宾夕法尼亚州立大学 24 个校区的研究人员和教育工作者能够获得进行最高质量的研究和教育所需的尖端网络基础设施和计算专业知识。 宾夕法尼亚州立大学的方法是建立一个网络基础设施促进者团队,他们由调查人员共享,并就各种规模的项目提供咨询,以将共享知识以及现代计算技术和工具的最佳实践带给最广泛的宾夕法尼亚州立大学社区。 这些协调员被称为“科学家和工程师的研究创新”(RISE) 团队,是数据库、可视化、代码优化、应用程序开发、Web 服务和云计算方面的专家。他们拥有广泛的网络基础设施研究知识,能够构建、设计和开发新的网络基础设施。 他们还将对各个科学领域有深入的了解,并将实现计算发现。投资这样一个团队将通过提高教师生产力、更有效地利用研究和教育资金以及最终在物理、天文学、生物信息学、化学、能源和气候建模等广泛科学领域的新发现来获得丰厚的回报。该项目建立了一个与科学家和工程师进行研究创新(RISE)的网络团队,该团队将与校园级 CI 专家、领域 宾夕法尼亚州立大学系统包括为超过 100,000 名学生提供服务的 24 个校区。 RISE团队将通过向教师提供咨询和直接服务,直接促进跨领域研究网络基础设施的使用和创建,包括天文学、生物学、化学、气象学、物理学等。 RISE 团队将与 Open Science Grid 合作,将宾夕法尼亚州立大学建立为 OSG 站点,开发复制品交换分子动力学软件,将机器学习应用于分子生物物理学,构建射电天文学数字信号处理软件,与 HTCondor 合作进行功能开发和测试,在可持续和可维护的生态系统中搭载新的气候建模工具和软件,开发基因测序管理平台,部署和维护基础设施 支持LIGO实时引力波分析,并构建恒星天体物理模拟的科学网关。通过 RISE 团队的共享知识,他们将提高使用和开发网络基础设施的研究人员的生产力,使他们能够比孤立地完成更多的工作。 为了扩大参与范围,研究人员将制定一项种子资助计划,教师可以申请获得与 RISE 团队的长期接触,其中成员将被纳入研究小组。 RISE 成员还将定期举办培训讲习班和研讨会,以满足宾夕法尼亚州立大学所有校区教师的需求。 扩大参与范围和协调活动将涉及 RISE 团队成员和项目调查员在各个分校之间的定期旅行。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。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Chad Hanna其他文献

Searching for asymmetric and heavily precessing Binary Black Holes in the gravitational wave data from the LIGO and Virgo third Observing Run
在 LIGO 和 Virgo 第三次观测运行的引力波数据中寻找不对称和严重进动的双黑洞
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Stefano Schmidt;S. Caudill;J. Creighton;L. Tsukada;Anarya Ray;S. Adhicary;Pratyusava Baral;A. Baylor;Kipp Cannon;B. Cousins;B. Ewing;Heather Fong;Richard N. George;P. Godwin;Chad Hanna;Reiko Harada;Yun;R. Huxford;Prathamesh Joshi;J. Kennington;Soichiro Kuwahara;A. K. Li;R. Magee;D. Meacher;C. Messick;S. Morisaki;D. Mukherjee;Wanting Niu;A. Pace;C. Posnansky;S. Sachdev;S. Sakon;Divya R. Singh;Urja Shah;R. Tapia;T. Tsutsui;K. Ueno;A. Viets;L. Wade;M. Wade
  • 通讯作者:
    M. Wade
Searching for gravitational waves from compact binary coalescence

Chad Hanna的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Chad Hanna', 18)}}的其他基金

CC* Data Storage: Cost-effective Attached Storage for High throughput computing using Homo- geneous IT (CASH HIT) supporting Penn State Science, the Open Science Grid and LIGO
CC* 数据存储:使用同质 IT (CASH HIT) 实现高吞吐量计算的经济高效附加存储,支持宾夕法尼亚州立大学科学学院、开放科学网格和 LIGO
  • 批准号:
    2346596
  • 财政年份:
    2024
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Discovering Neutron Stars and Black Holes with LIGO
利用 LIGO 发现中子星和黑洞
  • 批准号:
    2308881
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
CC* Compute: An Open Science Grid shared computing platform at Penn State
CC* 计算:宾夕法尼亚州立大学的开放科学网格共享计算平台
  • 批准号:
    2201445
  • 财政年份:
    2022
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Framework: An A+ Framework for Multimessenger Astrophysics Discoveries through Real-Time Gravitational Wave Detection
框架:通过实时引力波探测进行多信使天体物理学发现的框架
  • 批准号:
    2103662
  • 财政年份:
    2021
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Discovering Black Holes and Neutron Stars with LIGO
利用 LIGO 发现黑洞和中子星
  • 批准号:
    2011865
  • 财政年份:
    2020
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Scalable Cyberinfrastructure for Early Warning Gravitational Wave Detections
用于早期预警引力波探测的可扩展网络基础设施
  • 批准号:
    1841480
  • 财政年份:
    2018
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
SI2-SSE: Hearing the Signal through the Static: Realtime Noise Reduction in the Hunt for Binary Black Holes and other Gravitational Wave Transients
SI2-SSE:通过静电听到信号:寻找双黑洞和其他引力波瞬变过程中的实时降噪
  • 批准号:
    1642391
  • 财政年份:
    2016
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Continuing Grant
CAREER: Enabling Multimessenger Astrophysics with Real-Time Gravitational Wave Detection
职业:通过实时引力波检测实现多信使天体物理学
  • 批准号:
    1454389
  • 财政年份:
    2015
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Continuing Grant

相似海外基金

Collaborative Research: Multiple Team Membership (MTM) through Technology: A path towards individual and team wellbeing?
协作研究:通过技术实现多重团队成员 (MTM):通往个人和团队福祉的道路?
  • 批准号:
    2345652
  • 财政年份:
    2024
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Multiple Team Membership (MTM) through Technology: A path towards individual and team wellbeing?
协作研究:通过技术实现多重团队成员 (MTM):通往个人和团队福祉的道路?
  • 批准号:
    2345651
  • 财政年份:
    2024
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Research Initiation: Understanding Team Diversity, Equity, and Inclusion in Undergraduate Engineering Design Projects
研究启动:理解本科工程设计项目中的团队多样性、公平性和包容性
  • 批准号:
    2306176
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
Collaborative Research: EPIIC: Expanding Team Capacity for High Impact and New Growth (ETCHING) Cohort
合作研究: EPIIC:扩大高影响力和新增长 (ETCHING) 队列的团队能力
  • 批准号:
    2331217
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Standard Grant
CAREER: Identifying the Role of Tandem Repeats in Great Ape Adaptation through Undergraduate Team Research Using a Novel Statistical Framework
职业:通过本科团队研究使用新颖的统计框架确定串联重复在类人猿适应中的作用
  • 批准号:
    2325466
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Continuing Grant
Advancing an Equity-first Research Agenda in an East Toronto Ontario Health Team
在东多伦多安大略省健康团队中推进公平优先的研究议程
  • 批准号:
    487927
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Miscellaneous Programs
RESEARCH AND APPLICATION IN TEAM SCIENCE: A CONSENSUS STUDY - Aging
团队科学的研究与应用:共识研究 - 老龄化
  • 批准号:
    10945839
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
RESEARCH AND APPLICATION IN TEAM SCIENCE: A CONSENSUS STUDY
团队科学的研究与应用:共识研究
  • 批准号:
    10946795
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
RESEARCH AND APPLICATION IN TEAM SCIENCE: A CONSENSUS STUDY
团队科学的研究与应用:共识研究
  • 批准号:
    10948537
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
Development of guidelines for team-based qualitative research in healthcare
制定基于团队的医疗保健定性研究指南
  • 批准号:
    23K09838
  • 财政年份:
    2023
  • 资助金额:
    $ 186.4万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了