- IN31B: AI/ML for Earth Science Datasets, Tooling, and Workflows and Discovery I Poster
-
NOLA CC
Primary Convener:Generic 'disconnected' Message
Ziheng Sun, George Mason University Fairfax
Convener:
Douglas Newman, NASA Goddard Space Flight Center
Stephen Olding, NASA Goddard Space Flight Center
Brian Freitag, University of Alabama in Huntsville
Muthukumaran Ramasubramanian, University of Alabama in Huntsville
Chair:
Douglas Newman, NASA Goddard Space Flight Center
Stephen Olding, NASA Goddard Space Flight Center
Brian Freitag, University of Alabama in Huntsville
Muthukumaran Ramasubramanian, University of Alabama in Huntsville
Earth Informatics: AI-Ready Datasets & WorkflowsThis session seeks practical, innovative approaches to building and utilizing AI-ready datasets, tools, and workflows for Earth science. Including:
- Open-source Earth observation datasets for machine learning.
- Tools for data labeling, cleaning, augmentation, and standardization.
- Documentation, metadata, and AI readiness benchmarks.
- End-to-end AI workflows.
- Interactive tools for complex datasets.
- Low-code platforms for Earth AI access.
- Workflow orchestration and automation.
- Data quality, reproducibility, and safe AI use.
- Collaborations among researchers, agencies, and open-source contributors.
Improving Earth Science Data Search & Discovery with AI
We invite agencies, organizations, and individuals to share experiences and future plans regarding the application of technologies like:
- Chatbots
- Knowledge Graphs
- Large Language Models
- Vector Embeddings
These technologies can be applied to both targeted data search and novel knowledge discovery from existing data. The goal is to learn and provide better solutions to the community.
Index Terms
1908 Cyberinfrastructure
1916 Data and information discovery
1938 Knowledge representation and knowledge bases
1942 Machine learning
1954 Natural language processing
1976 Software tools and services
1998 Workflow
Cross-Listed:
SY - Science and Society
GC - Global Environmental Change
Suggested Itineraries:
Machine Learning and AI
Neighborhoods:
1. Science Nexus
Scientific DisciplineSuggested ItinerariesNeighborhoodType
Enter Note
Go to previous page in this tab
Session


