CyberGISX strives to bridge the digital divide in geospatial science and ensure that everyone benefits from cyberGIS advances by democratizing access to advanced cyberinfrastructure and high-performance computing resources.

CyberGIS-Compute is an open-source geospatial middleware framework that provides seamless access to high-performance computing (HPC) resources through a Python-based SDK and a suite of core services.

CyberGIS 2.0 aims to bridge the digital divide in GIS and ensure that everyone benefits from science by democratizing access to advanced cyberinfrastructure and high-performance computing resources.

CyberGIS Center hosts NSF I-GUIDE in partnership with iSEE and DPI.

The Geospatial Software Institute conceptualization project will hold a webinar series to showcase the work of the Geospatial Fellows for advancing COVID-19 research and education.

The project aims to support decision-making in regards to COVID-19 by answering critical “where” questions: where cases are and will likely be; where vulnerable populations live; where containment measures should be applied; where health care services might be overwhelmed; and where additional testing and other health care resources should be deployed.

Enabling reproducible computation- and data-intensive geospatial research and education

CyberGIS represents a vibrant interdisciplinary field for bridging advanced cyberinfrastructure, geographic information science and technologies, and various geospatial knowledge domains.

Urban metabolism: Collaboration uses big data to look at the health of cities through food, water, and energy systems

Establishing core spatial data synthesis capabilities to empower geospatial problem solving and decision making.