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2017 International Symposium on Spatiotemporal Computing

August 7, 2017 to August 9, 2017
Location  CGIS South Building

Symposium Program (PDF)

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 1st International Symposium on Spatiotemporal Computing (ISSC) held in July 2015 at George Mason University, the 2nd Symposium will be held in August 2017 at Harvard University. Its objective is to further academic exchange on new findings, achievements and breakthroughs in spatiotemporal computing. We hope to bring together people with different backgrounds and expertise who are engaged in the development and application of spatiotemporal computing and related topics. Through a series of presentations, panel discussions and research papers, ISSC strives to:

  • Explore spatiotemporal principles and develop formal representations for spatiotemporal patterns from current research in computing, geospatial, and social sciences among other academic fields;
  • Combine spatiotemporal patterns and modern computational technologies to foster next generation computing infrastructure to enable big data discovery, access, and processing;
  • Develop new spatiotemporal computing tools and software to improve our capability on urgent events responding.

We invite materials from disciplines including but not limited to:

  1. Mining and Analyses methodologies to extract spatiotemporal principles/patterns in various domains, such as climate change, ocean science, environmental science, disaster and public health;
  2. New computing hardware, software, and tools utilizing spatiotemporal principles/patterns;
  3. Advanced cyberinfrastructure integrating spatiotemporal principles and cutting-edging computational technologies (e.g. GPU, MapReduce, HPC and cloud computing);
  4. Advances in modelling, simulation, and virtual environment concerning spatiotemporal data and applications;
  5. Big Data processing, analysis and visualization using spatiotemporal computing;
  6. Scientific workflow solutions based on spatiotemporal computing;
  7. Education related to spatiotemporal computing;
  8. Digital Earth, public health, economics, natural disasters, and other applications of spatiotemporal computing.

For more information and to register, please visit