Student Support for 2017 International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)

2017 年地理信息系统进展国际会议 (ACM SIGSPATIAL 2017) 的学生支持

• 批准号: 1745399
• 负责人: Goce Trajcevski
• 金额: $ 3万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745399&HistoricalAwards=false
• 关键词: Student; Support; 2017; International; Conference

This award provides support for U.S-based students to attend the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 7-10, 2017 in Redondo Beach, CA (http://sigspatial2017.sigspatial.org/). In addition to regular research/demo papers and industry papers, ACM SIGSPATIAL 2017 features several sessions dedicated to young researchers: PhD Symposium, SIGSPATIAL Cup, and Student Research Competition. PhD Symposia in the past four years have also organized panels and keynote talks by prominent researchers, to help young researchers in improving the focus of their work. Spatial information is essential in many branches of industry and academia, and businesses as well as governmental agencies are utilizing it their daily operations to improve the structuring of new strategies, and increase overall productivity. Applications of spatial information handling can be found in location-based services in the mobile-commerce industry, strategic assessments in the military agencies, climatology studies (e.g., determining the potential effects of a tsunami) in meteorological research, computer-aided design and computer aided manufacturing (CAD/CAM) applications, medical imaging and atlases (e.g., 3D brain atlas), land-use classification of satellite imagery in urban planning, detection of local instability in transportation networks, epidemiological pattern forecasting (predicting the spread of disease) in the health-care field, analyzing crime hot spots for law enforcement, creation of high resolution three-dimensional maps from satellite imagery for intelligence applications, etc. Combined with the increased demand for spatial data processing, spatial information systems are gaining a substantial share across the spectrum in the industrial, government, and academic sectors. The ACM Special Interest Group on Spatial Information (SIGSPATIAL) is an association for researchers, students, developers, practitioners, and professionals interested in research, development, and deployment of solutions to spatial data, spatial operations, spatial information handling, and spatial knowledge extraction problems. The scope of members' interests spans from more theoretical aspects (e.g., geometric algorithms) to very focused application-oriented aspects, and has generated a significant body of research in the past decade. The charter of ACM SIGSPATIAL is dedicated to fostering research and development activities especially as it pertains to the acquisition, management, and processing of spatially-related information with a focus on algorithmic, geometric, and visual considerations, and is at the heart of enabling technologies for geographic information systems (GIS), navigation systems, etc. Given the relative importance of the field of spatial and geographical data, ACM SIGSPATIAL conference aims to augmenting its role and impact by motivating and supporting a new generation of scientists and engineers to take on the challenge of pursuing their graduate careers and beyond in this multidisciplinary area. The ACM SIGSPATIAL conference has established itself as the world's premier research conference in Spatial Information and Geographic Information Systems (GIS). The conference 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. It brings together researchers, developers, users, and practitioners carrying out research and development in novel systems based on geospatial data and knowledge, and fostering interdisciplinary discussions and research in all aspects of GIS. Proceedings of the ACM SIGSPATIAL 2017 Conference will be published in the ACM Digital Library (http://dl.acm.org/).

该奖项为参加2017年11月7日至10日在加利福尼亚州雷东多海滩举行的第25届ACM SIGSPATIAL国际地理信息系统进展会议（http://sigspatial2017.sigspatial.org/）的美国学生提供支持。除了常规的研究/演示论文和行业论文外，ACM SIGSPATIAL 2017还为年轻研究人员举办了几场会议：博士研讨会、SIGSPATIAL杯和学生研究竞赛。在过去的四年中，博士研讨会还组织了杰出研究人员的小组讨论和主题演讲，以帮助年轻研究人员提高他们的工作重点。空间信息在工业和学术界的许多分支中都是必不可少的，企业和政府机构正在利用它来改善新战略的结构，并提高整体生产力。空间信息处理的应用包括：移动电子商务行业的定位服务、军事机构的战略评估、气象研究中的气候学研究（例如确定海啸的潜在影响）、计算机辅助设计和计算机辅助制造（CAD/CAM）应用、医学成像和地图集（例如3D脑地图集）、城市规划中卫星图像的土地利用分类、检测交通网络的局部不稳定性，预测卫生保健领域的流行病学模式（预测疾病的传播），分析执法犯罪热点，根据卫星图像制作用于情报应用的高分辨率三维地图，等等。随着对空间数据处理需求的增加，空间信息系统在工业、政府和学术领域的应用越来越广泛。ACM空间信息特别兴趣小组（SIGSPATIAL）是一个由对空间数据、空间操作、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、开发人员、实践者和专业人员组成的协会。成员的兴趣范围从更理论化的方面（例如几何算法）到非常集中的面向应用的方面，并且在过去十年中产生了大量的研究。ACM SIGSPATIAL的章程致力于促进研究和开发活动，特别是与获取、管理和处理空间相关信息有关的活动，重点是算法、几何和视觉方面的考虑，并且是地理信息系统（GIS）、导航系统等技术的核心。鉴于空间和地理数据领域的相对重要性，ACM SIGSPATIAL会议旨在通过激励和支持新一代科学家和工程师接受在这一多学科领域追求其研究生职业生涯的挑战，从而增强其作用和影响。ACM SIGSPATIAL会议已成为世界上首屈一指的空间信息和地理信息系统（GIS）研究会议。会议为原创研究提供了一个论坛，涵盖了GIS的所有概念、设计和实现方面，从应用程序、用户界面、可视化到存储管理和索引问题。它将研究人员、开发人员、用户和实践者聚集在一起，开展基于地理空间数据和知识的新系统的研究和开发，并促进GIS各个方面的跨学科讨论和研究。ACM SIGSPATIAL 2017会议论文集将在ACM数字图书馆（http://dl.acm.org/）上发布。