- GIS | Health & Hazards Lab
- City and Community Studies Initiative
- Center for Ecology and Natural Resource Sustainability
- Computational Social Science Lab
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.