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.

一支在数据科学和网络安全整合方面拥有专业知识的劳动力对于保持美国在全球舞台上的竞争力和安全至关重要。培训人员，包括教职员工和专业人员，拥有良好的数据科学和网络安全技能，需求很高，以便在代表性不足的社区发挥领导作用，并为各种挑战生成数据驱动的强大解决方案。该项目旨在通过项目团队在休斯顿大学(UH)、草原景观农工大学(PVAMU)和阿拉巴马农工大学(AAMU)这三所具有强大地区影响力的少数族裔服务大学之间的协作努力来满足这一迫切需求。该项目的总体目标是将培训者培训为网络安全数据科学领域的下一代领导者，为代表性不足的社区提供知识和技能，将这些技术传授给他们的学生和同龄人。本项目探索网络安全领域的数据科学在教学、材料、工具和培训环境方面的创新方法。具体而言，这一项目的贡献是：a)加强参与机构在数据科学和网络安全领域的研究能力，促进招聘和留住HBCU高素质的研究人员；b)用新的数据科学网络安全教学单元更新本科生和研究生课程，以反映最新的进展和最佳做法；c)通过培训者提高非裔美国人和其他少数族裔学生对网络安全方面数据科学挑战和机遇的认识；以及d)编写新的课程材料和源代码，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广泛学科的学习者扩大了教育收益，导致数据科学在医疗保健、绿色能源、智能城市和制造业等各个行业得到更广泛的采用。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领域。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。