Conference: ACM SIGSPATIAL Conference 2023: Student Activities and U.S.-Based Students Support

此活动适用于20+美国-研究生和本科生参加第31届ACM SIGSPATIAL GIS 2023会议，该会议将于2023年11月13日至11月16日在德国汉堡举行。该会议每年由ACM（计算机协会）空间信息特别兴趣小组（SIGSPATIAL）组织，该小组是对研究，开发和部署空间信息处理和空间知识提取问题的解决方案感兴趣的研究人员，学生和专业人士的协会。该会议于1993年开始，已成为世界上首屈一指的空间数据和GIS研究会议;它为原创研究贡献提供了一个论坛，涵盖GIS的所有概念，设计和实施方面，从应用程序，用户界面和可视化到存储管理和索引问题。除了技术计划，会议还设有研讨会，学生研究竞赛，数据竞赛和演示。空间信息处理的重要性随着新的应用领域和大量空间数据的可用性和普遍性而不断增加，如地图、遥感图像、3D医学地图集和十年一次的人口普查。商业、工业、学术界和政府机构利用空间信息来改善其日常运作，构建新的战略，并提高整体生产力和美国的竞争力。空间数据和应用在广泛的子领域提出了新的研究挑战，包括（但不限于）空间信息获取、建模、数据结构和算法、分析、查询和集成，人机交互和可视化，以及系统和架构。从这些子领域，深入的研究问题出现了广泛的应用（例如，应急和危机管理、环境监测、全球定位和位置检测、地球科学、基于位置的和移动的服务、导航和路线规划）。ACM SIGPATIAL GIS为这项研究提供了一个论坛，包括介绍已接受的技术论文，海报和演示展览，鼓励所有参与者之间的生动互动，以及相关行业领先成员的演讲。美国研究生和有前途的本科生的参与将导致年轻人的智力刺激，以追求先进的研究和开发活动，在一个具有巨大的技术和社会影响的领域。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

This activity is for proposed travel awards for 20+ U.S.-based graduate and under-graduate students to participate in the 31st ACM SIGSPATIAL GIS 2023 Conference, which will be held in Hamburg, Germany, November 13 – November 16, 2023. The Conference is annually organized by the ACM (Association for Computing Machinery) Special Interest Group on Spatial Information (SIGSPATIAL), which is an association for researchers, students, and professionals interested in research, development, and deployment of solutions to spatial information handling and spatial knowledge extraction problems. The Conference started in 1993, has established itself as the world’s premier research conference in spatial data and GIS; it provides a forum for original research contributions covering all conceptual, design, and implementation aspects of GIS ranging from applications, user interfaces, and visualization to storage management and indexing issues. Besides the technical program, the Conference features workshops, a student research competition, a data competition, and demos. The importance of spatial information handling continuously increases with new application domains and the availability and ubiquity of large spatial data such as maps, remote-sensing images, 3D medical atlases, and the decennial census. Businesses, industry, academia, and governmental agencies utilize spatial information to improve their daily operations, structure new strategies, and increase overall productivity and US competitiveness.Spatial data and applications pose novel research challenges in a wide variety of sub-areas, includ-ing (but not limited to) spatial information acquisition, modeling, data structures, and algorithms,analysis, querying and integration, human-computer interaction and visualization, and systemsand architectures. From these sub-areas, deep research questions emerge that are motivated by a broad range of applications (e.g., emergency and crisis management, environmental monitoring, global positioning and location detection, geosciences, location-based and mobile services, navigation, and route planning). ACM SIGPATIAL GIS has provided a forum for this research, including presentations of accepted technical papers, poster and demo exhibition encouraging lively interaction among all participants, and presentations by leading related industry members. The participation of U.S. graduate and promising undergraduate students will result in the intellectual stimulation of young minds to pursue advanced research and development activities inan area that has a huge technical and societal impact.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.