Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities an
Walters is working with a team of geographers, linguists, economists, data scientists and software engineers to apply cultural knowledge and patterns to open-source data in an effort to document and report patterns of human movement through previously u
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
Experts across varied technology fields gathered ORNL to collaborate on the future of geospatial systems at the Trillion-Pixel GeoAI Challenge workshop.
Sreelekha Guggilam is a research associate for machine learning with the Geospatial Science and Human Geography group at ORNL. She recently shared how she uses data-driven information to assist with national security challenges.
Using disinformation to create political instability and battlefield confusion dates back millennia. However, today’s disinformation actors use social media to amplify disinformation that users knowingly or, more often, unknowingly perpetuate.
ORNL took home the top prize in two categories at the inaugural DOE GIS Day in November 2022, including the Best Geospatial Science Program Award
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
A team of researchers from ORNL has created a prototype system for detecting and geolocating damaged utility poles in the aftermath of natural disasters such as hurricanes.