IWSC 2015 - 1st international workshop on spatiotemporal computing

Global challenges, such as climate change, natural disaster, and infectious disease, occur in accordance with specific patterns existing within both space and time. Observing the phenomena at only a single location or static time-slice cannot fully explore the true dynamics of these phenomena. Understanding, exploring and using the spatiotemporal principles underlying various phenomena would enable the development of trailblazing new methodologies, tools and software to address these challenges. Spatiotemporal computing, the computing paradigm for utilizing spatiotemporal principles to devise cutting-edge computing technologies and solutions, sets a foundation for the future generation of cyberinfrastructure to overcome the obstacles for addressing the global challenges.
The International Workshop on Spatiotemporal Computing (IWSC) aims at exploring the possibilities of spatiotemporal computing in addressing our societal challenges from global to local regions by bringing together people with different backgrounds and expertise. It is also the objective to capture the latest advancements of spatiotemporal computing and related topics. Through a series of presentations, panel discussions and research papers, IWSC strives to:
1) explore spatiotemporal principles and develop formal representations for the spatiotemporal patterns from our current research, such as in the computing, geospatial, and social sciences
2) combine spatiotemporal patterns and modern computational technologies to foster next generation computing infrastructure to enable big data discovery, access, and processing
3) develop new spatiotemporal computing tools and software to improve our capability of urgent events responding.
The topics to be discussed in the workshop include but are not limited to:
1) Methodologies to analyze spatiotemporal principles/patterns in various domains, such as climate change, ocean science, environmental science, disaster and public health.
2) Advanced cyberinfrastructure integrating spatiotemporal principles and cutting-edging computational technologies (e.g. GPU, MapReduce, HPC and cloud computing).
3) Spatiotemporal computing tools and methods for addressing the computational intensity problem.
4) Big Data processing, analysis and visualization using spatiotemporal computing.
5) Scientific workflow solutions based on spatiotemporal computing.
6) Education related to spatiotemporal computing.