NSF awards $1.5 million to Illinois-led team for achieving scalable spatial data synthesis

The National Science Foundation has awarded a Data Infrastructure Building Blocks (DIBBS) grant of $1.5 million over three years to a team led by Shaowen Wang to create scalable capabilities for synthesizing spatial big data.

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CyberGIS: infrastructure for massive geospatial data, processes

A consortium of government, academic and private-sector partners has come together to build the National CyberGIS Facility at the University of Illinois at Urbana-Champaign. With funding from the National Science Foundation, the group aims to build a high-performance computing system optimized to handle geospatial data.

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Concurrent Science, Engineering, and Technology for the Prevention of Postharvest Loss

This project aims to study the problem of postharvest losses and identify prevention strategies and address the same by developing a platform and modeling framework for using Concurrent Science, Engineering, and Technology (ConSEnT) tools.

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Hydrogeologic predictions

The aim of this research is to develop new applications of statistical- and machine-learning algorithms to improve our characterization and prediction capabilities of shallow hydrogeologic properties and processes.

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The CyberGIS Center for Advanced Digital and Spatial Studies is poised to revolutionize many areas of scholarship, ranging from engineering and science to the humanities.

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