- GIS | Health & Hazards Lab
- City and Community Studies Initiative
- Center for Ecology and Natural Resource Sustainability
My research combines geographic information science and computational science to study the complexity of coupled natural and human systems. To address various computational challenges, I often employ cyberinfrastructure-based geographic information systems (CyberGIS) and supercomputer-based spatial modeling to investigate large- and multi-scale geospatial phenomena.
My interests focus on advancing the state-of-the-art in geospatial technologies that underpin geographic information science (GIScience) thus opening new areas of scientific inquiry. My dissertation research (University of Illinois at Urbana-Champaign, Summer 2013) resolved computation and "big data" challenges to enable the first critical examination of how representations of space and time affect epidemic agent-based modeling using models that simulated tens of millions of agents. In 2012 in collaboration with SGI, a leader in high-performance computing, I was part of a team that captured the spatial distribution of emotion from Twitter in near real-time during the US presidential election and Hurricane Sandy (see http://www.sgi.com/go/twitter). I was also a key contributor for the GISolve Toolkit, which represents cutting-edge geospatial middleware for empowering CyberGIS.
Scholarly, Creative & Professional Activities
Shook, E., Wang, S., and Tang, W.. 2013. “A Communication Framework for Parallel Spatially-Explicit Agent-Based Models”. International Journal of Geographical Information Science, in press.
Shook, E., Leetaru, K., Cao, G., Padmanabhan, A., and Wang, S.. 2012. “Happy or Not: Generating Topic-based Emotional Heatmaps for Culturomics using CyberGIS”. In: Proceedings of IEEE 8th International Conference on E-Science (e-Science), pp. 1-6.
Shook, E., and Wang, S.. 2011. “A Parallel Input-Output System for Resolving Spatial Data Challenges: an Agent-Based Model Case Study”. In: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems, pp. 18-25.