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

数据正以前所未有的水平呈指数级增长。 近年来，我们目睹了数字数据的巨大增长，这些数据捕捉了我们的生活和周围环境。 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有希望的机会，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，有安全保障的数据科学影响个人、组织、社区和国家生活的各个方面。 能够影响有安全保障的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。 该项目为年轻专业人员创建了一个新的安全保证数据科学基础教育模式和课程，为创建一支经过培训的劳动力队伍提供了机会，这些劳动力能够提供创新解决方案，从而实现更智能的医疗保健，改善社会福利，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，该项目符合国家利益，正如NSF的使命所述：促进科学进步;促进国家健康，繁荣和福利;或确保国防。为了应对这一日益严峻的国家挑战，以实现下一代数据驱动的创新和研究，必须建立区域合作，以简化和支持在有安全保障的数据科学培训和教育背景下共享数据科学和网络安全资源。该项目扩大了与当地学区的现有合作伙伴关系，以提高中学一级的数字扫盲和网络安全意识，并引导高中学生开展活动，使他们能够在中学后一级接受网络安全和数据科学教育。 该项目旨在合作开发安全保证数据科学教育和培训（SADET）的综合课程，这是一门本科课程，作为皮特高中学院（CHS）计划的一部分提供给高中学生。 该项目的主要目标和活动包括：（a）开发跨学科课程组件，重点是通过匹兹堡大学的高中学院（CHS）计划提供的有安全保证的数据科学教育，（B）加强和扩大匹兹堡大学现有的网络安全和信息科学入门课程，（d）为高中教师举办有安全保障的数据科学材料竞赛，以开发更多的教育和培训材料，供课堂教学使用，及（e）建立网上资料库及区域联盟，以分享安全及数据科学培训资源及专业知识，并透过研讨会提高宾夕法尼亚州西部地区的意识、培训及教育。 拟议的框架将为在有安全保障的数据科学教育、培训和研究背景下，在数据科学和网络安全领域的交叉领域开展更多区域合作提供一个模式。 该框架还将为更广泛的社区，包括学校、学院、行业和政府相关组织提供基础。 该项目的长期影响包括弥合高中和大学课程在这一迅速兴起的领域之间的差距。 该项目还提供了一个模型，以增加在本科层次的数据科学和数据安全相关领域的参与，从而在这一重要领域实现重点劳动力发展。

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.