Featured by Google Scholar & The American Geophysical Union

Abstract:

How can research institutions effectively manage and utilize the wealth of data at their disposal?

State-of-the-art Large Language Models (LLMs) could hold the key. These models have the potential to revolutionize work processes at research institutions, aiding tasks such as ideation, summarizing text, generating code, and question answering. These applications could significantly enhance scientific research and knowledge discovery in earth and space science, aid decision making, and enable better alignment of challenges with the right experts.

We conducted a survey of current thrusts and use cases from diverse user groups across the Jet Propulsion Laboratory (JPL), using a comprehensive approach that combines quantitative and qualitative research methods. Focusing on both available capabilities from industry providers and custom-built solutions, we’ll share strategic recommendations for harnessing LLM capabilities and discuss their implications for governance workflows.

This presentation will also explore how LLMs can enhance knowledge management and discovery by making complex scientific information more accessible and easier to analyze. By leveraging the unique capabilities of LLMs, JPL and other research institutions can accelerate scientific discovery and technology development in earth and space science.