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Center Overview

The Center for Spatiotemporal Thinking, Computing, and Applications (STC) partners with industry, not-for-profit organizations and government agencies to drive cutting-edge innovations in spatiotemporal research. By developing advanced software tools and creating transformative solutions, the STC addresses critical 21st-century challenges, such as enhancing real-time responses to natural disasters, mitigating environmental pollution, and managing emergencies effectively. STC is envisioned to build both national and international spatiotemporal infrastructure to advance:

  • Human intelligence through spatiotemporal thinking and education, from high school students to Ph.D. and postdoctoral fellows.
  • Computer software and tools through spatiotemporal computing with new software tools and systems.
  • Human capacity to respond to deep scientific questions such as mitigating potential hazard asteroids, and grand engineering challenges such as fighting pandemics and global flooding.

Universities

  • Harvard University
  • George Mason University
View Center Website

Center Personnel

S ("Subu") V Subramanian
Center Co-Director
+1 617 432 6299
svsubram@hsph.harvard.edu

Chaowei Yang
Center Director
+1 703 993 4742
cyang3@gmu.edu

Research Focus

Spatiotemporal thinking

The STC is pioneering new cognitive methodologies designed to enhance human intelligence and decision-making. Spatiotemporal thinking involves innovative approaches to analyzing space-time dynamics, fostering a deeper understanding of complex, multi-dimensional problems, and promoting cross-disciplinary discoveries in both physical and social sciences. A full-scale education from high school students to postdoctoral fellow has been implemented successfully with all participants broadening their pathways towards the next level of their education and career.

Spatiotemporal computing

Spatiotemporal computing explores the optimization of computational infrastructure by utilizing space-time patterns, models, and algorithms. This research area focuses on advancing computational efficiency and enabling significant breakthroughs in data-driven scientific discovery and large-scale engineering developments. New software and systems are built to enable analytics of petabytes of climate data, detect global conflict incidents and optimizing computing infrastructure operation.

Spatiotemporal applications

The STC develops innovative applications by integrating spatiotemporal methodologies into diverse domains, from environmental monitoring to pandemic response. Leveraging the insights gained from spatiotemporal thinking and computing, these applications are tailored to address global and national challenges, from safely reopening campus during the COVID-19 pandemic to detecting flooding in near real time.

Awards

Member Organizations

IUCRC affiliated member organizations are displayed as submitted by the Center. Non-federal organizations are not selected, approved, or otherwise endorsed by the U.S. National Science Foundation.

The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.