Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity

协作研究:网络培训:实施:中:T3-CIDERS:一种培训师培训方法,促进网络安全中的 CI 和数据支持研究

基本信息

项目摘要

This project aims to respond to the urgent need for well-prepared cybersecurity researchers and professionals in the nation by increasing the literacy, accessibility, and adoption of advanced cyberinfrastructure techniques, tools, and platforms in cybersecurity and cyber-related disciplines. The project team develops “T3-CIDERS”, a Train-the-Trainer program, which will train teams of faculty, researchers and graduate students across multiple states, who will subsequently disseminate knowledge and skills on advanced cyberinfrastructure to a broader group of students and researchers within their own institutions and to K-12 audiences, especially those within underrepresented communities. The training program reaches a wider audience through an interactive, open online learning environment, broadening the accessibility of computational and data science across various scientific and engineering disciplines. The T3-CIDERS program facilitates the preparation of current and future cybersecurity and cyber-related researchers, engineers, and practitioners with advanced cyberinfrastructure and data analytic skills, which have become increasingly important for developing secure and resilient digital infrastructure. Given its multi-level educational structure and ubiquitous societal needs for advanced cyberinfrastructure in cybersecurity, this project is expected to have significant and wide-ranging societal impacts, particularly in the areas of workforce development, innovative curriculum, and developing capabilities of supporting diverse and underrepresented groups.This collaborative project furnishes a unique Train-the-Trainer Approach to Fostering CyberInfrastructure- and Data-Enabled Research in CyberSecurity (T3-CIDERS), a program to train faculty, researchers, and students to develop solid CI competencies through a train-the-trainer program designed to be synergistic with research, teaching, and learning activities. The project develops comprehensive technical cyberinfrastructure (CI)-focused and pedagogical train-the-trainer (T3) modules designed for effective CI education of a broad and diverse range of learners. Leveraging the groundwork laid by the NSF-funded DeapSECURE program, this project will augment the existing DeapSECURE CI modules by developing new fundamental and application-oriented resources tailored for advancing cybersecurity research. A core component in this project is a novel T3 module, designed to cultivate cybersecurity researchers and professionals into skilled trainers, enhancing both their instructional design capabilities and technological aptitudes. This learner-focused approach aspires to foster a community of practice (CoP) and promote CI integration in cybersecurity research and education. Moreover, to extend the project's reach and longevity, an online adaptation, T3-Online, will be developed as an open educational resource to facilitate broadening project outcomes into other domains of science and engineering. The success of the project will drive interest and understanding of CI as essential tools in state-of-the-art cybersecurity research, flatten the student learning curve for CI technology and provide a national leadership in CI training for cybersecurity research.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Cybercorps Scholarship for Service, Directorate for STEM Education.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.
该项目旨在通过提高网络安全和网络相关学科中先进的网络基础设施技术、工具和平台的识字率、可及性和采用率,满足国内对准备充分的网络安全研究人员和专业人员的迫切需求。该项目团队开发了“T3-苹果酒”,这是一个培训培训者计划,将培训多个州的教职员工、研究人员和研究生团队,他们随后将向各自机构内更广泛的学生和研究人员群体以及K-12受众,特别是在代表性不足的社区中的受众传播先进网络基础设施方面的知识和技能。该培训计划通过互动、开放的在线学习环境接触到更广泛的受众,扩大了计算和数据科学在各种科学和工程学科中的可及性。T3-ciders计划有助于为当前和未来的网络安全以及拥有先进网络基础设施和数据分析技能的网络相关研究人员、工程师和从业者做好准备,这些技能对于开发安全和有弹性的数字基础设施已变得越来越重要。鉴于其多层次的教育结构和无处不在的社会对网络安全中先进的网络基础设施的需求,该项目预计将产生重大和广泛的社会影响,特别是在劳动力发展、创新课程和发展支持不同和代表性不足群体的能力方面。该合作项目提供了一种独特的培训培训者方法来促进网络基础设施和数据支持的网络安全研究(T3-Ciders),该计划旨在培训教师、研究人员和学生,通过培训培训者计划来发展坚实的CI能力,旨在与研究、教学和学习活动相协同。该项目开发了以技术网络基础设施(CI)为重点的综合技术网络基础设施(CI)和教学培训者培训(T3)模块,旨在对广泛和多样化的学习者进行有效的CI教育。利用NSF资助的DeapSECURE计划奠定的基础,该项目将通过开发新的基础和面向应用的资源来增强现有的DeapSECURE CI模块,这些资源专为推进网络安全研究而定制。该项目的一个核心组成部分是一个新颖的T3模块,旨在将网络安全研究人员和专业人员培养成熟练的培训者,提高他们的教学设计能力和技术能力。这种以学习者为中心的方法致力于培养实践共同体(COP),并促进CI在网络安全研究和教育中的整合。此外,为了扩大项目的影响范围和寿命,将开发一个在线改编软件T3-Online,作为一个开放的教育资源,以促进将项目成果扩大到科学和工程的其他领域。该项目的成功将激发人们对CI作为最先进的网络安全研究的基本工具的兴趣和理解,平坦CI技术的学生学习曲线,并在CI网络安全研究的CI培训方面提供全国领先地位。该奖项由高级网络基础设施办公室颁发,由STEM教育局网络兵团服务奖学金联合支持。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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 }}

Masha Sosonkina其他文献

Modeling of the CPU frequency to minimize energy consumption in parallel applications
  • DOI:
    10.1016/j.suscom.2017.12.002
  • 发表时间:
    2018-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Vaibhav Sundriyal;Masha Sosonkina
  • 通讯作者:
    Masha Sosonkina
A partitioning algorithm for block-diagonal matrices with overlap
  • DOI:
    10.1016/j.parco.2008.01.004
  • 发表时间:
    2008-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Guy Antoine Atenekeng Kahou;Laura Grigori;Masha Sosonkina
  • 通讯作者:
    Masha Sosonkina
Fault Recovery Methods for Asynchronous Linear Solvers
Automatic runtime frequency-scaling system for energy savings in parallel applications
  • DOI:
    10.1007/s11227-013-1062-0
  • 发表时间:
    2013-12-13
  • 期刊:
  • 影响因子:
    2.700
  • 作者:
    Vaibhav Sundriyal;Masha Sosonkina;Zhao Zhang
  • 通讯作者:
    Zhao Zhang

Masha Sosonkina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('Masha Sosonkina', 18)}}的其他基金

Collaborative Research: Innovative ab initio symmetry-adapted no-core shell model for advancing fundamental physics and astrophysics
合作研究:创新的从头算对称适应的无核壳模型,用于推进基础物理学和天体物理学
  • 批准号:
    1516096
  • 财政年份:
    2015
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: CyberTraining: Pilot: PowerCyber: Computational Training for Power Engineering Researchers
协作研究:Cyber​​Training:试点:PowerCyber​​:电力工程研究人员的计算培训
  • 批准号:
    2319895
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Training Users, Developers, and Instructors at the Chemistry/Physics/Materials Science Interface
协作研究:网络培训:实施:媒介:在化学/物理/材料科学界面培训用户、开发人员和讲师
  • 批准号:
    2321102
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Transforming the Molecular Science Research Workforce through Integration of Programming in University Curricula
协作研究:网络培训:实施:中:通过将编程融入大学课程来改变分子科学研究人员队伍
  • 批准号:
    2321045
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Training Users, Developers, and Instructors at the Chemistry/Physics/Materials Science Interface
协作研究:网络培训:实施:媒介:在化学/物理/材料科学界面培训用户、开发人员和讲师
  • 批准号:
    2321103
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Transforming the Molecular Science Research Workforce through Integration of Programming in University Curricula
协作研究:网络培训:实施:中:通过将编程融入大学课程来改变分子科学研究人员队伍
  • 批准号:
    2321044
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Pilot: PowerCyber: Computational Training for Power Engineering Researchers
协作研究:Cyber​​Training:试点:PowerCyber​​:电力工程研究人员的计算培训
  • 批准号:
    2319896
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Small: Inclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research
合作研究:网络培训:实施:小型:包容性网络基础设施和机器学习培训,以推进水科学研究
  • 批准号:
    2320980
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Small: Inclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research
合作研究:网络培训:实施:小型:包容性网络基础设施和机器学习培训,以推进水科学研究
  • 批准号:
    2320979
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: Training Users, Developers, and Instructors at the Chemistry/Physics/Materials Science Interface
协作研究:网络培训:实施:媒介:在化学/物理/材料科学界面培训用户、开发人员和讲师
  • 批准号:
    2321104
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather
合作研究:网络培训:试点:网络基础设施支持的机器学习用于理解和预测空间天气
  • 批准号:
    2320148
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了