CyberTraining: CDL: Security-Assured Data Science Workforce Development in Pennsylvania

网络培训：CDL：宾夕法尼亚州安全保证的数据科学劳动力发展

• 批准号: 1730286
• 负责人: Balaji Palanisamy
• 金额: $ 47.69万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730286&HistoricalAwards=false
• 关键词: CyberTraining; CDL; Security; Assured; Data

Data is growing exponentially at unprecedented levels. In the recent years, we have been witnessing a huge proliferation of digital data capturing our lives and our surroundings. While this provides promising opportunities for path-breaking innovation using data science and data-driven technologies, ensuring data security and data privacy has become a critical barrier. Cybersecurity is a key component of data science and security-assured data science impacts all aspects of personal, organizational, community and national life. The workforce capable of impacting security-assured data science is significantly understaffed, while the demand for workforce with required skills is fast increasing. This project creates a new model and curricula for foundational education in security-assured data science to young professionals that provides an opportunity to create a workforce trained to make innovative solutions leading to smarter health care, improved social good, smart transportation, advancements in social, behavioral, and economic sciences and smarter analytics for security. The project thus serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; or to secure the national defense. To address this growing national challenge to enable the next generation data-enabled innovation and research with qualified talent, it is critical that regional collaborations be formed to streamline and support sharing of data science and cybersecurity resources in the context of security-assured data science training and education. This project expands upon existing partnerships with local school districts to increase digital literacy and cybersecurity awareness at the secondary level and induce high school students to initiate activities that would enable them to pursue cybersecurity and data science education at the postsecondary level. The project aims to collaboratively develop an integrated curriculum on Security Assured Data Science Education and Training (SADET), an undergraduate level curriculum to be offered to high school students as part of Pitt's College in High School (CHS) program. The key goals and activities of the project include (a) developing interdisciplinary curriculum components focused on security-assured data Science education to be offered through University of Pittsburgh's College in High School (CHS) program, (b) enhancing and widening University of Pittsburgh's existing offering of introductory cybersecurity and information science courses in this area, (c) promoting and increasing the adoption of SADET modules through the CHS program, (d) conducting a security-assured data science materials competition for high school teachers to develop additional educational and training materials for use in classroom teaching, and (e) creating an online repository and a regional alliance to share security and data science training resources and expertise, and to increase the awareness, training and education in the western Pennsylvania region through workshops. The proposed framework will provide a model for more regional collaborations at the intersection of data science and cybersecurity areas in the context of security-assured data science education, training and research. The framework will also provide a basis to reach to broader communities including schools, colleges, industries and government related organizations. Long-term impact of the project includes bridging the gaps between high school and college level curricula in this rapidly emerging field. The project also provides a model for increasing the participation in data science and data security related fields at the undergraduate level leading to a focused workforce development in this important area.

数据正以前所未有的水平呈指数级增长。近年来，我们目睹了记录我们生活和周围环境的数字数据的巨大激增。虽然这为使用数据科学和数据驱动技术的开创性创新提供了大有可为的机会，但确保数据安全和数据隐私已成为一个关键障碍。网络安全是数据科学的关键组成部分，安全数据科学影响着个人、组织、社区和国家生活的方方面面。能够影响安全数据科学的劳动力严重不足，而对具有所需技能的劳动力的需求正在快速增长。该项目为面向年轻专业人员的安全数据科学基础教育创建了一种新的模式和课程，提供了一个机会，以创建一支经过培训的员工队伍，以开发创新的解决方案，从而实现更智能的医疗保健、更好的社会公益、智能交通、社会、行为和经济科学的进步，以及更智能的安全分析。因此，正如NSF的使命所述，该项目符合国家利益：促进科学进步；促进国家健康、繁荣和福利；或确保国防安全。为了应对这一日益增长的国家挑战，使下一代数据创新和研究能够具有合格的人才，至关重要的是要形成区域合作，以便在有安全保障的数据科学培训和教育的背景下精简和支持数据科学和网络安全资源的共享。该项目扩大了与当地学区的现有伙伴关系，以提高中学一级的数字扫盲和网络安全意识，并鼓励高中生开展活动，使他们能够在中学后一级进行网络安全和数据科学教育。该项目旨在合作开发一个关于安全保证数据科学教育和培训(SADET)的综合课程，这是一个本科水平的课程，将作为皮特高中学院(CHS)计划的一部分提供给高中生。该项目的主要目标和活动包括：(A)开发跨学科课程内容，重点是通过匹兹堡大学高中学院(CHS)计划提供的有安全保障的数据科学教育；(B)加强和扩大匹兹堡大学在这一领域提供的入门网络安全和信息科学课程；(C)通过CHS计划促进和更多地采用SADET模块；(D)为高中教师举办一次有安全保障的数据科学材料竞赛，以开发更多用于课堂教学的教育和培训材料，以及(E)创建一个在线储存库和一个区域联盟，以分享安全和数据科学培训资源和专门知识，并通过讲习班提高宾夕法尼亚州西部地区的认识、培训和教育。拟议框架将为数据科学和网络安全领域在有安全保障的数据科学教育、培训和研究背景下开展更多区域合作提供一个模式。该框架还将提供一个基础，以接触到更广泛的社区，包括学校、大学、行业和政府相关组织。该项目的长期影响包括在这个迅速崛起的领域弥合高中和大学课程之间的差距。该项目还提供了一种模式，可增加本科生对数据科学和数据安全相关领域的参与，从而使这一重要领域的劳动力得到重点发展。