===== About =====

CIGI develops cyberinfrastructure (CI) capabilities to advance GIScience and geospatial problem solving. Current research focuses on the following themes:
  *Computationally intensive spatial analysis and modeling
  *Parallel and distributed computing
  *High-performance and collaborative GIS
  *Large-scale geospatial problem solving
  *Grid information systems and interoperability
  *Cyberinfrastructure-based geospatial problem-solving environments and applications

===== News & Events =====
  * [[news/index# CIGI awarded 625,000 hours of supercomputing time by the NSF TeraGrid for geographic research and education]]
  * [[news/index# Dr. Anand Padmanabhan presents the new Web GIS for Malaria Map Application at CDC]]
  * [[news/index# CIGI welcomes new graduate students: Henjun Kim, Yanli Zhao, and visiting scholar: Qian Huang from Peking University]]
  * [[news/index# Dr. Shaowen Wang won prestigious NSF CAREER Award]]
  * [[news/index# Dr. Shaowen Wang has been reelected to OSG Council]]

  * [[news/index|More CIGI news]]
===== People =====

CIGI includes a number of research and education faculty, staff,
and students with diverse disciplinary expertise such as Computational and Information Sciences, Computer Science, Engineering, Environmental Sciences, Geography, Hydrology, Plant Biology, and Statistics. Dr. [[https://www.cigi.uiuc.edu/doku.php/people/shaowen_wang|Shaowen Wang]] is CIGI founder and director. 

===== Projects =====

Current projects range from investigating computationally intensive spatial analysis and modeling for solving large-scale and/or multi-scale problems, developing national and global Grid-based cyberinfrastructure capabilities (e.g., the Open Science Grid and TeraGrid), application- and user-level virtual organization services (e.g., resource monitoring, discovery, and scheduling) in the context of geospatial problem solving environments (e.g., GISolve), middleware for geospatial problem solving, parallel computing of Bayesian geostatistical modeling, to a distributed computing approach to solving geospatial optimization problems.