International Conference on Big Data and Artificial Intelligence Analytics in Geosciences

Onboard/sensor-based computing
Embedded and real-time data reduction and triage/analytics methods
Managing bandwidth constraints for high volume instruments
Approaches for scaling observing systems for satellite, airborne and ground-based sensors
New concepts for data intensive missions
Integration of computational methods with observing systems
Scalable data analytics for massively distributed data
Access and integration of highly distributed, heterogeneous data
Search and retrieval across massive, heterogeneous data stores
Novel statistical approaches for data integration and fusion
Sampling strategies from massive data repositories
Uncertainty in scientific inferences
In situ analysis for high performance computing
Computation applied at the data sources
Automated machine learning methods for identifying and extracting interesting features and patterns
Methods for visualizing massive observational and model data
Visualization of big data from observations and/or models