Collaborative Research: CyberTraining: Implementation: Small: Train the Trainers as Next Generation Leaders in Data Science for Cybersecurity for Underrepresented Communities

协作研究：网络培训：实施：小型：将培训师培训为代表性不足社区网络安全数据科学的下一代领导者

• 批准号: 2321111
• 负责人: Suxia Cui
• 金额: $ 8.69万
• 依托单位: Prairie View A & M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321111&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Small

A workforce with expertise in the integration of Data Science and Cybersecurity is crucial to maintaining the United States' competitiveness and security in the global arena. Trainers, including faculty and professionals, who are well equipped with both Data Science and Cybersecurity skills are in high demand in order to play leadership roles in underrepresented communities and generate data-driven, robust solutions to various challenges. The project is designed to address this immediate need with the collaborative efforts from the project team across three minority-serving universities with a strong regional presence: University of Houston (UH), Prairie View A&M University (PVAMU), and Alabama A&M University (AAMU). The overarching goal of this project is to train the trainers as next generation leaders in Data Science for Cybersecurity for underrepresented communities, providing them with the knowledge and skills to impart these techniques to their students and peers. This project explores innovative approaches in teaching, materials, tools, and training environments in the Data Science for Cybersecurity field. Specifically, the contributions of this project are a) enhance the research capabilities of the participating institutions in the areas of Data Science and Cybersecurity, promoting recruitment and retention of highly qualified researchers at HBCUs; b) update undergraduate and graduate curricula with new Data Science for Cybersecurity teaching modules to reflect the latest advances and best practices; c) raise awareness among African American and other minoritizy students through trainers of the challenges and opportunities in Data Science for Cybersecurity; and d) develop new course materials and source code and facilitate the widespread dissemination of the project results. The project also expands the educational benefits through its workshop series to learners from a wide range of disciplines, leading to the potential greater adoption of Data Science in various industries such as healthcare, green energy, smart cities, and manufacturing. The project is dedicated to advancing the field of discipline-based education research in the areas of Data Science for Cybersecurity.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.

拥有数据科学和网络安全整合专业知识的劳动力对于维持美国在全球舞台上的竞争力和安全至关重要。为了在代表性不足的社区中发挥领导作用，并为各种挑战提供数据驱动的强大解决方案，对具备数据科学和网络安全技能的培训师（包括教师和专业人员）的需求量很大。该项目旨在通过三所具有强大区域影响力的少数族裔服务大学的项目团队的协作努力来解决这一迫切需求：休斯顿大学 (UH)、草原景观农工大学 (PVAMU) 和阿拉巴马农工大学 (AAMU) ）。该项目的总体目标是将培训师培训为代表性不足的社区网络安全数据科学的下一代领导者，为他们提供知识和技能，以便将这些技术传授给学生和同行。该项目探索网络安全数据科学领域的教学、材料、工具和培训环境的创新方法。具体来说，该项目的贡献是：a) 增强参与机构在数据科学和网络安全领域的研究能力，促进 HBCU 招募和留住高素质研究人员； b) 使用新的网络安全数据科学教学模块更新本科生和研究生课程，以反映最新进展和最佳实践； c) 通过培训师提高非裔美国人和其他少数族裔学生对网络安全数据科学挑战和机遇的认识； d) 开发新的课程材料和源代码并促进项目成果的广泛传播。该项目还通过其研讨会系列向来自不同学科的学习者扩大了教育效益，从而使数据科学在医疗保健、绿色能源、智慧城市和制造业等各个行业中得到更大程度的采用。该项目致力于推进网络安全数据科学领域基于学科的教育研究。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。