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

会议：ACM SIGSPATIAL 会议 2023：学生活动和美国学生支持

• 批准号: 2331161
• 负责人: Yao-Yi Chiang
• 金额: $ 2.5万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-11-01 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2331161&HistoricalAwards=false
• 关键词: Conference; ACM; SIGSPATIAL; 2023; Student

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.

这项活动是为参加2023年11月13日至16日在德国汉堡举行的第31届ACM SIGSPATIAL GIS 2023大会的20多名美国研究生和本科生提供的拟议旅行奖励。该会议由ACM(计算机械协会)空间信息特别兴趣小组(SIGSPATIAL)每年举办一次，该小组是一个由对空间信息处理和空间知识提取问题的解决方案的研究、开发和部署感兴趣的研究人员、学生和专业人员组成的协会。该会议始于1993年，现已成为世界上主要的空间数据和地理信息系统研究会议；它为原创研究提供了一个论坛，涉及地理信息系统的所有概念、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。除了技术项目，会议还包括研讨会、学生研究竞赛、数据竞赛和演示。随着新的应用领域以及地图、遥感图像、三维医学地图集和十年一次的人口普查等大型空间数据的可获得性和无处不在，空间信息处理的重要性不断增加。企业、工业界、学术界和政府机构利用空间信息改善他们的日常运作，构建新的战略，提高整体生产率和美国的竞争力。空间数据和应用在许多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，以及系统和体系结构。从这些子领域，出现了由广泛的应用(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、基于位置的和移动服务、导航和路线规划)驱动的深入研究问题。ACM SIGPATIAL地理信息系统为这项研究提供了一个论坛，包括接受的技术论文的演示，鼓励所有参与者进行生动互动的海报和演示展览，以及相关行业主要成员的演示。美国研究生和有前途的本科生的参与将激励年轻人在一个具有巨大技术和社会影响的领域从事高级研究和开发活动。该奖项反映了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。