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  • Presentation | IN34A: AI/ML for Earth Science Datasets, Tooling, and Workflows and Discovery II Oral
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  • [ONLINE] IN34A-06: Enhancing Earth Mission Control With Agentic Data Retrieval for Contextual Decision Support
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Author(s):
Lucas De Bonet, Massachusetts Institute of Technology (First Author, Presenting Author)
Rachel Connolly, Massachusetts Institute of Technology
Minoo Rathnasabapathy, Massachusetts Institute of Technology
Leonie Bensch, RWTH Aachen University
Leonard Jones, Hampton University
Dava Newman, Massachusetts Institute of Technology


Data about the Earth is extremely important for making decisions that might be impacted by changes in our climate. However, it’s difficult to find this data in a format that is easy to understand and directly use for making these decisions. Earth Mission Control (EMC) is a platform that allows you to see this data using Virtual Reality (VR), by showing visualizations directly on a globe, map table, and dashboards, and presenting the data in a way that it can be used for education and decision making much more easily. This project involves using multimodal AI models to allow EMC to automatically display data that is relevant to a climate phenomenon that a user would want to know about. It intelligently retrieves this data and displays it in VR, and also allows you to ask questions about the data to learn more.



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