International Conference on Data Science for Geosciences ICDSG on May 24-25, 2024 in Batumi, Georgia

Data-driven geoscience Machine learning and analytics in geoscience Machine learning in geosciences and remote sensing Computational methods for geoscience Large-scale machine learning in earth sciences Architectural considerations and data life cycle Integration of data, computing/HPC/cloud, and algorithms Cloud computing, software as a service New technologies for scaling the architecture Semantic technologies, linked data, and efficient semantic query, reasoning, and integration techniques Capturing well-architected and curated data repositories Data and semantic information architectures Architecting automated pipelines for data capture Enabling analytics on data pipelines for computation, data discovery, event detection, reduction, etc Open source data science frameworks 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 </div>