课题基金 / 基金详情

ACM SIGSPATIAL Conference 2016: Student Activities and U.S.-Based Students Support

ACM SIGSPATIAL Conference 2016: Student Activities and U.S.-Based Students Support
2016 年 ACM SIGSPATIAL 会议:学生活动和美国学生支持
批准号:
1644662
负责人:
Shawn Newsam
金额:
$2.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2017-06-30

项目摘要

项目成果

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中文摘要
翻译
这笔赠款支持在2016年10月31日至11月3日在美国加利福尼亚州旧金山湾区(http://sigspatial2016.sigspatial.org).)举行的第24届ACM SIGSPATIAL国际地理信息系统进展会议(ACM SIGSPATIAL 2016)上的学生活动ACM SIGSPATIAL地理信息系统会议始于1993年,现已成为促进空间数据和分析以及地理信息系统(GIS)领域研究的世界主要会议。这次会议为涉及地理信息系统所有方面的原创研究贡献提供了一个论坛。近年来,这次会议吸引了300多名与会者,其中大部分来自美国,其次是欧洲和亚洲。这项支持将使25-30名美国研究生和本科生参加会议,促进对年轻人的智力刺激,使他们在这一领域从事具有重大技术和社会影响的高级研究和开发活动。以学生为中心的活动包括博士研讨会,研究生在建设性的氛围中介绍、讨论和接受对他们研究的反馈;学生研究竞赛,本科生和研究生分别参加;以及空间计算竞赛,SIGSPATIAL杯,团队专注于特定的技术问题。更广泛地说,学生们从参加会议中受益匪浅,这些会议展示了地理空间系统和应用领域的最新成果,可能会为研究合作和研究指导建立联系。除了技术计划外,会议还将举办研讨会和演示。ACM SIGSPATIAL GIS2016将汇聚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,这些问题包括从应用程序、用户界面和可视化到存储管理和索引问题的概念、设计和实施问题。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 SIGSPATIAL地理信息系统拥有强大的美国学生代表,这是保持美国在重要研究领域的竞争力的关键,这些研究领域对美国的基础设施以及严重依赖地理参考信息的应用至关重要。空间数据和分析以及地理信息系统有助于一系列社会背景,包括:通过先进的交通运输应用改善普通公民的生活;通过利用地理空间知识更好地收集情报来加强国家安全;以及开发将对全球环境产生积极影响的应用。
英文摘要
This grant supports student activities at the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2016 (ACM SIGSPATIAL 2016) that takes place October 31-November 3, 2016, in the San Francisco Bay Area, CA, USA (http://sigspatial2016.sigspatial.org). The ACM SIGSPATIAL GIS conference was originated in 1993 and has established itself as the world's premier conference to foster research in the areas of spatial data and analysis and geographic information systems (GIS). The conference provides a forum for original research contributions covering all aspects of GIS. The conference has attracted in excess of 300 participants in recent years, with a majority of the participants from the U.S., followed by Europe and Asia. The support will enable 25-30 U.S.-based graduate and undergraduate students to participate in the conference, fostering the intellectual stimulation of young minds to pursue advanced research and development activities in this area with significant technical and societal impact. Student focused activities include a Ph.D. symposium where graduate students present, discuss, and receive feedback on their research in a constructive atmosphere; a student research competition with separate tracks for undergraduate and graduate students; and a spatial computing competition, the SIGSPATIAL Cup, where teams focus on a specific technical problem. More generally, the students benefit greatly from attending conference sessions featuring current state-of-the-art results in the area of geospatial systems and applications, potentially making connections for research collaborations and research mentoring. Besides the technical program, the conference will feature workshops and demos. ACM SIGSPATIAL GIS 2016 will bring together researchers, students, and professionals interested in research, development, and deployment of solutions to spatial information handling and spatial knowledge extraction problems, including conceptual, design, and implementation issues ranging from applications, user interfaces, and visualization to storage management and indexing issues. Spatial data and applications pose novel research challenges in a wide variety of sub-areas, which include (but are not limited to), spatial information acquisition, modeling, data structures and algorithms, analysis, querying and integration, human-computer interaction and visualization, and systems and 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). A strong representation of U.S.-based students at ACM SIGSPATIAL GIS is key to maintaining U.S. competitiveness in important research areas crucial for U.S. infrastructure as well as applications that critically depend on geo-referenced information. Spatial data and analysis and geographic information systems contribute in a range of of societal contexts including: improving the lives of ordinary citizens through advanced transportation applications; increasing the security of the nation through better intelligence gathering using geospatial knowledge; and developing applications that will have a positive impact on the global environment.
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会议论文
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海外基金