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Shaowen Wang conducts research on cyberGIS, and computation- and data-intensive geospatial discovery and innovation.  He and his collaborators founded cyberGIS as an interdisciplinary field and led the development of this field through a sequence of publications and many interdisciplinary projects, meetings, and conferences and workshops.  The primary goal of his research is to create sustainable cyberGIS solutions while empowering computational and data-driven research in many geospatial-related domains.  Scientific software and cyberGIS capabilities created from his research have been used by tens of thousands of researchers in a number of domains (e.g., bioengineering, environmental engineering and sciences, geography and spatial sciences, geosciences, public health, and social sciences) for tackling computational and data challenges to achieve research and education advances.  Specifically, his research program focuses on three interrelated themes: spatial computational theories and methods for cyberGIS; spatial cyberinfrastructure for data-intensive geographic and environmental studies; and scalable solutions to complex environmental and geospatial problems.  He was the founding manager of the Grid Research and educatiOn group @ ioWa (GROW) at the University of Iowa to foster computational science research and education within several Iowa higher education institutions.  He is the founding director of the CyberInfrastructure and Geospatial Information Laboratory (CIGI Laboratory) and CyberGIS Center for Advanced Digital and Spatial Studies (CyberGIS Center) at the University of Illinois Urbana-Champaign.  He currently serves as the Principal Investigator (PI) and Director of a 5-year, $15 million project entitled, “Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE)”, funded by the NSF’s Harnessing the Data Revolution (HDR) Institute program to push the boundaries of data-intensive research in geospatial and sustainability sciences.

Summary of Extramural Research Funding (received from the U.S. National Science Foundation (NSF), Centers for Disease Control and Prevention (CDC), Department of Energy (DOE), Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), National Institutes of Health (NIH), U.S. Department of Agriculture (USDA), U.S. Geological Survey (USGS), and industry): PI for more than $30 million competitive research grants; co-PI, investigator, and senior personnel for contributing to sponsored research with tens of millions of U.S. dollars; and PI for tens of millions of normalized computing hours of NSF supercomputing resources.

Selected Publications (A Comprehensive List @ Google Scholar)

  • Wang, S., Lyu, F., Wang, S., Catlett, C. E., Padmanabhan, A., and Soltani, K. (2021) Integrating cyberGIS and urban sensing for reproducible streaming analytics. In: Urban Informatics, edited by W. Shi, M. F. Goodchild, M. Batty, M.-P. Kwan, and A. Zhang. The Urban Book Series, Springer, Singapore,
  • Kang, J. Y., Michels, A., Lyu, F., Wang, S-H., Agbodo, N., Freeman, V. L., and Wang, S. (2020) Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International Journal of Health Geographics, 19,
  • Wang, S. and Goodchild, M. F. (2019) CyberGIS for Geospatial Innovation and Discovery. Springer, Dordrecht, Netherlands, DOI: 10.1007/978-94-024-1531-5
  • Xu, Z., Guan, K., Casler, N., Peng, B., and Wang, S. (2018) A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 144: 423-434
  • Hu, H., Lin, T., Wang, S., and Rodriguez, L. (2017) A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization. Applied Energy, 203: 26-40
  • Wang, S. (2016) CyberGIS and spatial data science. GeoJournal, 81(6): 965-968
  • Wang, S., Liu, Y., and Padmanabhan, A. (2016) Open cyberGIS software for geospatial research and education in the big data era. SoftwareX, 5: 1-5
  • Cao, G., Wang, S., Hwang, M., Padmanabhan, A., Zhang, Z., and Soltani, K. (2015) A scalable framework for spatiotemporal analysis of location-based social media data. Computers, Environment and Urban Systems, 51: 70-82
  • McGrath, J. M., Betzelberger, A. M., Wang, S., Shook, E., Zhu, X., Long, S. P., and Ainsworth, E. (2015) An analysis of ozone damage to historical maize and soybean yields in the United States. Proceedings of the National Academy of Sciences, 112(46): 14390-14395
  • Shook, E. and Wang, S. (2015) Investigating the influence of spatial and temporal granularities on agent-based modeling. Geographical Analysis, 47(4): 321-348
  • Wang, S., Anselin, L., Bhaduri, B., Crosby, C., Goodchild, M. F., Liu, Y., and Nyerges, T. L. (2013) CyberGIS software: a synthetic review and integration roadmap. International Journal of Geographical Information Science (IJGIS), 27(11): 2122-2145
  • Wright, D. J. and Wang, S. (2011) The emergence of spatial cyberinfrastructure. Proceedings of the National Academy of Sciences, 108(14): 5488–5491
  • Wang, S. (2010) A cyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis. Annals of the Association of American Geographers, 100(3): 535-557
  • Wang, S. and Armstrong, M. P. (2009) A theoretical approach to the use of cyberinfrastructure in geographical analysis. IJGIS, 23(2): 169-193
  • Wang, S., and Liu, Y. (2009) TeraGrid GIScience Gateway: bridging cyberinfrastructure and GIScience. IJGIS, 23(5): 631-656
  • Wang, S., Liu, Y., Wilkins-Diehr, N., and Martin, S. (2009) SimpleGrid Toolkit: Enabling geosciences gateways to cyberinfrastructure. Computers and Geosciences, 35: 2283-2294
  • Wang, S., and Zhu, X-G. (2008) Coupling cyberinfrastructure and geographic information systems to empower ecological and environmental research. BioScience, 58(2): 94-95