CyberCorps Scholarship for Service: Cybersecurity Workforce Preparation in the Age of Artificial Intelligence
CyberCorps 服务奖学金:人工智能时代的网络安全劳动力准备
基本信息
- 批准号:2146497
- 负责人:
- 金额:$ 392.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-02-01 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project aims to address the growing need for a highly-skilled national cybersecurity workforce capable of responding to rapidly evolving challenges in the age of artificial intelligence (AI). With funding from the NSF CyberCorps(R) Scholarship for Service (SFS) program, Georgia State University (GSU) will produce graduates capable of assuming a variety of cybersecurity roles in the U.S. government. Moreover, the project will increase the diversity of the Federal cybersecurity workforce, leveraging GSU's position as a minority-serving institution (MSI). The SFS project will emphasize recruiting and graduating highly qualified candidates from groups that have remained underrepresented in the cybersecurity field, including those with military-affiliations, first-generation college attendees, and low-income students. This project's unique and innovative focus will impact the Nation's competitiveness and the U.S. government by producing highly skilled cybersecurity professionals who can develop and deploy trustworthy cybersystems to address grand challenges facing society.GSU has established a strong curriculum in cybersecurity and privacy that balances technical rigor and hands-on experiences, offering students the opportunity to study various topics in cybersecurity and privacy. The project focuses on training and preparing a workforce with integrated cybersecurity, privacy, AI, and machine learning competencies to apply AI expertise to cybersecurity and build robust and trustworthy AI systems. Students will be prepared with the knowledge and practical skills to apply AI expertise and understand AI's safety, security, privacy, reliability, fairness, and ethical implications. Over a five-year period the project will provide scholarships to 25 students studying issues at the intersection of cybersecurity and AI. The SFS students will participate in an intensive academic program in cybersecurity, privacy, and trustworthy AI, including coursework and research in cutting-edge areas to sharpen the students' ability for creative thinking, making them better cybersecurity professionals. In addition to completing rigorous, required coursework, the SFS scholars will engage in experiential learning through opportunities for individual and group research projects and other extracurricular activities, which will provided deeply technical as well as interdisciplinary learning experiences and leadership development tailored to each student's preparation and aspiration.This project is supported by the CyberCorps(R) Scholarship for Service (SFS) program, which funds proposals establishing or continuing scholarship programs in cybersecurity and aligns with the U.S. National Cyber Strategy to develop a superior cybersecurity workforce. Following graduation, scholarship recipients are required to work in cybersecurity for a Federal, state, local, or tribal Government organization for the same duration as their scholarship support.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.
该项目旨在满足对高技能国家网络安全劳动力的日益增长的需求,这些劳动力能够应对人工智能(AI)时代快速发展的挑战。从NSF CyberCorps(R)服务奖学金(SFS)计划的资金,格鲁吉亚州立大学(GSU)将产生能够承担各种网络安全角色的毕业生在美国政府。此外,该项目将增加联邦网络安全工作人员的多样性,利用GSU作为少数民族服务机构(MSI)的地位。SFS项目将强调从网络安全领域代表性不足的群体中招募和毕业高素质的候选人,包括那些有军事背景的人,第一代大学生和低收入学生。该项目的独特和创新的重点将影响国家的竞争力和美国政府通过生产高技能的网络安全专业人员谁可以开发和部署值得信赖的网络系统,以应对社会面临的巨大挑战。GSU已经建立了一个强大的网络安全和隐私课程,平衡技术严谨性和实践经验,为学生提供学习网络安全和隐私的各种主题的机会。该项目的重点是培训和准备一支具有综合网络安全,隐私,人工智能和机器学习能力的员工队伍,将人工智能专业知识应用于网络安全,并构建强大且值得信赖的人工智能系统。学生将准备好知识和实践技能,以应用AI专业知识,并了解AI的安全性,安全性,隐私性,可靠性,公平性和道德影响。在五年的时间里,该项目将为25名研究网络安全和人工智能交叉问题的学生提供奖学金。SFS学生将参加网络安全,隐私和值得信赖的人工智能的强化学术课程,包括前沿领域的课程和研究,以提高学生的创造性思维能力,使他们成为更好的网络安全专业人士。除了完成严格的必修课程外,SFS学者还将通过个人和小组研究项目以及其他课外活动的机会进行体验式学习,这将为每个学生的准备和愿望提供深入的技术以及跨学科学习经验和领导力发展。该项目由CyberCorps(R)Scholarship for Service(SFS)计划支持,该计划为建立或继续网络安全奖学金计划的提案提供资金,并与美国国家网络战略保持一致,以培养一支上级网络安全人才队伍。毕业后,奖学金获得者需要在联邦,州,地方或部落政府组织的网络安全工作与他们的奖学金支持相同的时间。这个奖项反映了NSF的法定使命,并已被认为是值得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的支持。
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)
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Balasubramaniam Ramesh其他文献
Engaged Management ReView Engaged Management
敬业管理审查敬业管理
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Gabriel Beltran;Balasubramaniam Ramesh - 通讯作者:
Balasubramaniam Ramesh
Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective
为何人工智能监测面临阻力以及医疗保健组织对此能做些什么:基于情感的视角
- DOI:
10.2196/51785 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:6.000
- 作者:
Karl Werder;Lan Cao;Eun Hee Park;Balasubramaniam Ramesh - 通讯作者:
Balasubramaniam Ramesh
Supporting dynamic group decision and negotiation processes: A traceability augmented peer-to-peer network approach
- DOI:
10.1016/j.im.2006.04.001 - 发表时间:
2006-07-01 - 期刊:
- 影响因子:
- 作者:
Kannan Mohan;Peng Xu;Balasubramaniam Ramesh - 通讯作者:
Balasubramaniam Ramesh
Improving change management in software development: Integrating traceability and software configuration management
- DOI:
10.1016/j.dss.2008.03.003 - 发表时间:
2008-11-01 - 期刊:
- 影响因子:
- 作者:
Kannan Mohan;Peng Xu;Lan Cao;Balasubramaniam Ramesh - 通讯作者:
Balasubramaniam Ramesh
Representing and reasoning with traceability in model life cycle management
- DOI:
10.1023/a:1018951227810 - 发表时间:
1997-01-01 - 期刊:
- 影响因子:4.500
- 作者:
Balasubramaniam Ramesh - 通讯作者:
Balasubramaniam Ramesh
Balasubramaniam Ramesh的其他文献
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{{ truncateString('Balasubramaniam Ramesh', 18)}}的其他基金
U.S.-Germany Cooperative Research on the Technical and Empirical Foundations for Requirements Traceability
美德关于需求可追溯性的技术和经验基础的合作研究
- 批准号:
9896138 - 财政年份:1997
- 资助金额:
$ 392.2万 - 项目类别:
Interagency Agreement
U.S.-Germany Cooperative Research on the Technical and Empirical Foundations for Requirements Traceability
美德关于需求可追溯性的技术和经验基础的合作研究
- 批准号:
9513633 - 财政年份:1996
- 资助金额:
$ 392.2万 - 项目类别:
Interagency Agreement
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