Travel: Secure Knowledge Management Workshop

随着人工智能（AI）、云计算、大数据和物联网（IoT）等革命性技术的出现，安全知识管理（SKM）仍然是一个重要的研究领域，它涉及以安全和隐私保护的方式系统地收集、组织和传播信息的方法。人工智能在安全领域的最新发展显示了一个充满希望的未来，毫无疑问，人工智能可以为安全知识管理提供新的思路和工具。为了培养SKM领域的下一代高素质研究人员，让研究生接触最先进的研究非常重要，例如2004年在NSF支持下发起的SKM研讨会所涵盖的研究，每两年举办一次。该项目将重点支持学生参加SKM 2021工作坊，并促进他们的互动与来自学术界、工业界和政府的研究人员和从业人员一起。受支持的学生将参加演讲，并参加与最新创新，趋势和问题相关的讨论，包括遇到的实际挑战和采用的解决方案，特别强调人工智能。本次活动的价值将是多学科的交流，重点是机器学习，隐私，信任，风险，社会和经济方面等主题，以及物联网，云计算和大数据等技术领域。主题包括（a）人工智能的网络安全，隐私和道德，以及（B）增强网络安全，信任和隐私的人工智能工具。会议包括研究生，并作出协调一致的努力，以接触学生和少数民族机构的教师。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。

With the advent of revolutionary technologies such as Artificial Intelligence (AI), cloud computing, big data, and Internet of Things (IoT), secure knowledge management (SKM) continues to be an important research area that deals with methodologies for systematically gathering, organizing, and disseminating information in a secure and privacy-preserving manner. The recent development of AI in the security field shows a promising future, and there is no doubt that AI can provide new ideas and tools for secure knowledge management. In order to prepare the next generation, high caliber researchers in SKM areas, it is important to expose graduate students in state-of-the-art research, such as those covered in the SKM workshop, which was initiated with NSF support in 2004, and has been held every two years.This project will focus on supporting extensive student attendance through travel grants at the SKM 2021 Workshop and foster their interaction with researchers and practitioners from academia, industry, and government. The supported students will attend presentations and participated in discussions related to the most recent innovations, trends, and concerns including practical challenges encountered and solutions adopted with special emphasis on AI. The value of this event will be the multi-disciplinary exchange with emphasis on topics such as machine learning, privacy, trust, risk, and social and economic aspects, and technology domains such as IoT, cloud computing and big data. Topics include (a) cybersecurity, privacy, and ethics of AI, and (b) AI tools to enhance cybersecurity, trust, and privacy. The conference includes graduate students and makes a concerted effort to reach out to students and faculty of minority institutions. The students that attend this event will get a better understanding of cutting edge topics in these STEM areas, and a clearer picture of the state-of-the-discipline.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.