The U.S. National Science Foundation last month hosted a workshop on "Intelligent Systems Research to Support Geosciences and the EarthCube Mission." The goal of the workshop was to develop a research agenda for intelligent systems that will result in new capabilities for understanding the Earth system.
The workshop included participation from fields such as information integration, machine learning, knowledge representation, semantics and metadata, geospatial computing, robotics, visualization, and augmented reality.
Part of the workshop focused on geoscience-related requirements from Earth, ocean, polar, and atmospheric and spatial sciences. Workshop participants highlighted the many aspects of geosciences research that present challenges for intelligent systems, such as the fact that the data tends to be uncertain, intermittent, sparse, multi-resolution, and multi-scale.
Another unique characteristic of geosciences research is its process-centered phenomena, examining combinations of physical, geological, chemical, biological, and ecological factors. These phenomena are contextualized by background knowledge that must be incorporated into the analysis of the data. Intelligent systems can help overcome these challenges by incorporating existing scientific knowledge and the user's context.
Workshop participants recommended community building through sustained multi-year collaborations.
From CCC Blog
View Full Article
Abstracts Copyright © 2015 Information Inc., Bethesda, Maryland, USA
No entries found