PARTNER: Expand AI2ES for 4D space-time organization of precipitation processes and extremes, visualization tools, and workforce development

该项目是圣地亚哥州立大学，加州欧文大学和天气，气候和沿海海洋学可信人工智能研究所（AI2ES）之间的ExpandAI合作伙伴关系。在这个项目中，两个少数民族服务机构与人工智能研究所合作，领导新的活动，重点是扩大其机构已经建立的人工智能研究和教育计划，并围绕开发人工智能实现共同的互补目标，同时考虑到社会的用途，并开发下一代人工智能教育和劳动力人才。该项目还将在人工智能领域建立社区和新的卓越中心，这些活动以前没有得到很好的发展。 ExpAI2ES项目扩大了两个西班牙裔服务机构（HSI）的研究，教育活动和劳动力发展。通过与AI2ES合作，这些组织在人工智能基础研究和人工智能在环境科学中的应用方面建立了伙伴关系。ExpAI2ES的研究重点是降水和其他大气变量的时空组织和多尺度结构的人工智能建模，特别强调极端和不确定性量化。该研究还开发了4维数据可视化工具，如4维视觉交付（4DVD）软件，可以支持大气科学和人工智能的渐进式教育教学法的更广泛应用。 这些研究和教育方面的进步将有效应对气候变化、环境可持续性以及代价高昂的极端天气和灾害等迫在眉睫的挑战，同时吸引多样化和尚未开发的人才。在该项目中建立的大气科学进步教育（PEAS）框架将有助于开发新的课程材料，并改善相关机构的人工智能课程的教育内容。该项目新颖的“PEAS+AI”教育框架将进一步扩展到培训学校教师，他们和学生可以使用拟议的4DVD技术进行气候数据可视化和发现。与真实的环境数据相结合的现代视频4DVD人工智能工具的参与将激励学生走向STEM职业生涯，致力于气候科学和环境可持续性的紧迫问题。该奖项反映了NSF的法定使命，并被认为值得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来支持。

This project is an ExpandAI Partnership between San Diego State University, the University of California Irvine, and the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES). In this project, two minority-serving institutions collaborate with an AI Institute to lead new activities focused on scaling up already-established AI research and education programs at their institutions and to pursue shared, complementary goals around developing AI with use for society in mind and for developing the next generation of AI education and workforce talent. The project will also build community and new centers of excellence in AI where such activities were not previously well developed. The ExpAI2ES project expands research, educational activities, and workforce development in two Hispanic-Serving Institutions (HSI). In collaboration with AI2ES, these organizations lead a partnership in AI basic research and AI applications to environmental science. The research focus of ExpAI2ES is on AI modeling of the space-time organization and multiscale structure of precipitation and other atmospheric variables, with special emphasis on extremes and uncertainty quantification. The research also develops 4-dimensional data visualization tools, such as the 4-dimensional visual delivery (4DVD) software, that can support a wider application of progressive education pedagogy for atmospheric sciences and AI. These research and educational advances will effectively address imminent challenges in climate change, environmental sustainability, and costly weather extremes and hazards, while engaging a diverse and untapped pool of talent. The Progressive Education for Atmospheric Science (PEAS) framework to be established in this project will help develop new course material and improve the educational offerings of AI courses for relevant institutions. The project’s novel “PEAS+AI” educational framework will be further extended to the training of school teachers who together with students can use the proposed 4DVD technology for climate data visualization and discovery. The engagement with real environmental data combined with the modern video-based 4DVD AI tools will inspire students towards STEM careers to work on the pressing problems of climate science and environmental sustainability.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.