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The Second International Symposium on Spatiotemporal Computing

 

Chaowei Yang1, Wendy Guan2, Keith Clarke3, Manzhu Yu1, Jason Ur2 1George Mason University, Fairfax, VA

2Harvard University, Cambridge, MA

3University of California at Santa Barbara, CA

Spatiotemporal computing, the computing paradigm that utilizes spatiotemporal principles to devise cutting-edge computing technologies and solutions, enables the development of trailblazing new methodologies, tools and software to address global challenges such as climate change, natural disaster, or infectious disease. Following the successful first International Symposium on Spatiotemporal Computing held in July 2015 (ISSC’2015) at George Mason University, Fairfax, VA, the second International Symposium on Spatiotemporal Computing was held August 5-7, 2017 (ISSC’2017) at Harvard University, Cambridge, MA. ISSC’2017 aimed to further academic exchange on new findings, achievements and breakthroughs in spatiotemporal computing by bringing together people with different backgrounds and expertise who are engaged in the development and application of spatiotemporal computing and related topics. Call for papers focused on a) Exploring spatiotemporal principles and developing formal representations for spatiotemporal patterns from current research in computing, geospatial, and social sciences among other academic fields; b) Combining spatiotemporal patterns and modern computational technologies to foster next generation computing infrastructure to enable big data discovery, access, and processing; c) developing new spatiotemporal computing tools and software to improve our capability on urgent events responding.

Approximately 80 attendees from 5 countries participated in the three-day events. Among 60 submissions 29 papers were selected for final publication with three withdrawn for various reasons. The symposium was organized in four categories of sessions: a) four keynotes were invited from three countries to talk about topics of earth observation, social media, spatiotemporal visual analytics, and maps in political sciences; b) four mini-panels were organized following the keynotes to discuss relevant topics addressed in the keynotes with keynote speakers and three other field leaders; c) three breakout paper tracks with 11 sessions were organized on topics of theories, computing, and applications of spatiotemporal computing. A total of 45 oral and poster presentations were presented in the first two days; d) the last half day was organized to discuss the spatiotemporal computing field’s history, status, and future research needs.

As reflected by the symposium, interest in the spatiotemporal computing field continues to grow with more in-depth research coming out, dealing with local to global challenges, including big spatiotemporal data, global earth observation, public health, disaster management, smart cities, and other initiatives. For example, the poster session attracted over 10 live demo presentations about latest software and tools developed.

We would like to thank committee members as denoted below for helping promote, review, and organize the symposium. Thanks also go to ISRPRS leadership, especially Christian Heipkeand and Lena Halounova, Sisi Zlatanova of TC IV for helping with the publication process.

Steering Committee

Peggy Agouris (George Mason University) Peter Bol (Harvard University)

Michael Goodchild (University of California, Santa Barbara)

Qi Li (Peking University)

Yunjie Liu (Beijing University of Technology) Anthony Stefanidis (George Mason University) Daniel Sui (NSF Division Director for Social and Economic Sciences (SES), Ohio State University) Ming-Hsiang Tsou ( San Diego State University)

 

Programming Committee

Keith Clarke (University of California, Santa Barbara, USA)

Qunying Huang (University of Wisconsin, Madison) Zhenlong Li (University of South Carolina) Wenwen Li ( Arizona State University) Shaofu Lin (Beijing University of Technology) Wei Luo (University of California, Santa Barbara) Xuan Shi (University of Arkansas)

Kathleen Stewart (University of Maryland) Ming-Hsiang Tsou (San Diego State University) Jason Ur (Harvard University)

Chaowei Yang (George Mason University) Xinyue Ye (Kent State University) Manzhu Yu ( George Mason University) May Yuan ( University of Texas at Dallas)

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017 2nd International Symposium on Spatiotemporal Computing 2017, 7–9 August, Cambridge, USA

This contribution has been peer-reviewed. The double-blind peer-review was conducted on the basis of the full paper.

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Organizing Committee

Kejin Cui (George Mason University) Wendy Guan (Harvard University) Mei Li (Peking University)

Qian Liu (George Mason University) Manzhu Yu (George Mason University)

 

Best Paper Competition Committee

Keith Clarke (University of California, Santa Barbara) Bin Li (Central Michigan University)

Matt Rice (George Mason University)

Daniel Sui (NSF Division Director for Social and Economic Sciences (SES), Ohio State University) Wenwu Tang (University of North Carolina at Charlotte)

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017 2nd International Symposium on Spatiotemporal Computing 2017, 7–9 August, Cambridge, USA

This contribution has been peer-reviewed. The double-blind peer-review was conducted on the basis of the full paper.

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