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.
Ready to supercharge your geospatial research? The CyberGIS Summer School on Big Data Landscapes are on opportunity to learn about the state of the art in CyberGIS, and get hands-on training with cutting-edge CyberGIS applications.
The goal of this project is to establish fundamental and scalable capabilities for spatial data synthesis through integration with cyberGIS and novel cloud computing strategies to enable cutting-edge data-intensive research and education across multiple scientific communities.
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.