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

在改进的本科生STEM教育：拉美裔服务机构(HSI计划)和研究生教育司的支持下，这个会议项目旨在将教授、大学高级官员、行业专家和政府赞助商聚集在一起，探索如何加快人工智能(AI)和量子信息科学(QIS)的研究，并在拉美裔服务机构(HSI)的学生教育早期引入AI和QIS的学习活动。AI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交叉的影响。高等专科学校是拉美裔学生入学率超过25%的学院和大学，培养了超过三分之二的美国拉美裔学生。将高等专科学校的教员和高级领导层以及一般的少数民族服务机构与支持国家需求的网络和资源联系起来，预计将增加将为未来STEM劳动力做出贡献的未被充分代表的理工科学生的数量。本次会议的预期成果将是路线图，定义紧迫的研究问题，并为与会机构创建人工智能和QIS方面的教育倡议。加州大学戴维斯分校将主办HSI人工智能和量子信息科学高级研究和教学战略创新峰会(HSI-SIS)。HSI-SIS是一个为期两天的虚拟峰会，将汇集计算教师、机构领导人、赞助机构和业界，交流想法并培育合作伙伴关系，以加强HSI对最新人工智能和QIS倡议的参与。HSI-SIS将使用三支柱互动反馈模式，召集三个领域的小组：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纳入一年级和二年级大学生的体验中。本次峰会的长期目标是增加HSIS毕业生的数量，他们拥有深度学习、大数据分析、量子计算等人工智能和QIS领域不断发展的主题的聘用级知识。将制定和管理会前和会后调查，并由一名评估员编写一份报告，以了解本次首脑会议对与会者及其机构的影响。会议成果将在相关会议上传播，例如，拉美裔服务机构计算联盟、认证委员会的AET研讨会(包括计算认证委员会)、本科生研究会议、美国教育研究协会、高等教育研究协会和拉美裔学院和大学协会。HSI计划旨在加强本科生STEM教育和HSI的能力建设。人类安全倡议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部门捐赠的资金支持。这一奖项反映了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。

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.