CONFERENCE: HSI Strategic Innovation Summit for Advanced Research and Instruction in Artificial Intelligence and Quantum Information Sciences (HSI-SIS)

在改善本科STEM教育的支持下：该会议项目旨在汇集教授，高级大学官员，行业专家和政府赞助商，探索加速人工智能（AI）和量子信息科学（QIS）研究的方法，并在西班牙裔服务机构（HSI）的学生教育中引入AI和QIS的早期学习活动。人工智能和QIS将对未来的技术、教育、劳动力和我们的生活产生长期和跨领域的影响。hsi是指拉美裔学生比例超过25%的学院和大学，培养了美国三分之二以上的拉美裔学生。将hsi的教师和高级领导以及一般的少数族裔服务机构与支持国家需求的网络和资源联系起来，预计将增加代表性不足的科学和工程专业学生的数量，这些学生将为未来的STEM劳动力做出贡献。本次会议的预期成果将是确定紧迫研究问题的路线图，并为出席会议的机构创建人工智能和QIS的教育计划。加州大学戴维斯分校将主办人工智能和量子信息科学高级研究与指导HSI战略创新峰会（HSI- sis）。HSI- sis是一个为期两天的虚拟峰会，将聚集计算学院、机构领导人、赞助机构和行业，交流思想，促进合作伙伴关系，以加强HSI参与最新的人工智能和QIS计划。HSI-SIS将采用三支柱互动反馈模式，在三个领域召集小组：课程、研究和扩大参与。该模型将用于确定开发或扩展进行研究所需的基础设施的方法，并将人工智能和QIS纳入大学一年级和二年级学生的体验。本次峰会的长期目标是增加hsi毕业生的数量，使他们具备深度学习、大数据分析、量子计算以及人工智能和量子信息系统中其他不断发展的主题的招聘知识。将制定和管理事前和事后调查，并由一名评价人员编写一份报告，以了解本次首脑会议对与会者及其机构的影响。会议结果将在以下相关会议上传播，例如：西班牙裔服务机构计算联盟、认证委员会的ABET研讨会（包括计算认证委员会）、本科研究会议、美国教育研究协会、高等教育研究协会和西班牙裔学院和大学协会。HSI计划旨在加强HSI的本科STEM教育和能力建设。HSI计划支持的项目也将产生关于如何实现这些目标的新知识。该项目由研究生教育司提供的资金支持。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识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 support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program) and the Division of Graduate Education, this conference project aims to bring together professors, senior university officials, industry experts, and government sponsors, to explore ways to accelerate research in artificial intelligence (AI) and quantum information sciences (QIS), and introduce learning activities in AI and QIS early in the education of students at Hispanic-Serving Institutions (HSIs). AI and QIS will have long term and cross-cutting influence on future technologies, education, the workforce, and our lives. HSIs are colleges and universities with more than 25% Hispanic student enrollment, educating more than two-thirds of America’s Hispanic students. Connecting faculty and senior leadership at HSIs, and minority serving institutions in general, to the networks and resources to support national needs, is expected to increase the number of underrepresented science and engineering students who will contribute to the future STEM workforce. The expected outcomes of this conference will be roadmaps that define pressing research questions and create educational initiatives in AI and QIS for the institutions in attendance.The University of California, Davis will host the HSI Strategic Innovation Summit for Advanced Research and Instruction in Artificial Intelligence and Quantum Information Sciences (HSI-SIS). HSI-SIS, a virtual, two-day summit, will assemble computing faculty, institutional leaders, sponsoring agencies, and industry, to exchange ideas and foster partnerships to enhance HSI participation in the latest AI and QIS initiatives. HSI-SIS will use a 3-pillar interactive feedback model for convening groups across 3 areas: curriculum, research, and broadening participation. This model will be used to identify ways to develop or expand infrastructures needed to perform research and include AI and QIS into first and second-year college students’ experiences. The long-term goal of this summit is to increase the number of graduates from HSIs who are equipped with hiring-level knowledge of deep learning, big data analytics, quantum computing, and other evolving topics in AI and QIS. Pre- and post- event surveys will be developed and administered, with a report produced by an evaluator to understand the impact of this summit on meeting participants and their institutions. Meeting outcomes will be disseminated at relevant convenings of, for example, the Computing Alliance of Hispanic-Serving Institutions, the accrediting board’s ABET Symposium (which includes the Computing Accreditation Commission), Conference for Undergraduate Research, the American Educational Research Association, the Association for the Study of Higher Education, and the Hispanic Association of Colleges and Universities. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims. The project is being supported by funds contributed by the Division of Graduate Education.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.