Enter Note Done
Go to previous page in this tab
Session
  • Poster
  • Bookmark Icon
  • IN41D: Connecting Data to Science and Discovery: Innovations and Infrastructure Bridging Disparate Observations to Drive Earth Science I Poster
  • Schedule
    Notes
  • NOLA CC
    Set Timezone
  •  
    View Map

Generic 'disconnected' Message
Primary Convener:
Stephanie Wingo, University of Alabama in Huntsville

Convener:
Siddharth Chaudhary, University of Alabama in Huntsville
Natalie Raia, University of Arizona
Sara Lubkin, NASA Goddard Space Flight Center
Brian Freitag, NASA Marshall Space Flight Center
Debjani Singh, Oak Ridge National Laboratory

Chair:
Stephanie Wingo, NASA IMPACT / UAH
Debjani Singh, Oak Ridge National Laboratory
Brian Freitag, University of Alabama in Huntsville

Connecting observations from satellite and Earth-based sensors is fundamental in Earth sciences. Significant transformations are being driven by advancements in computational capabilities, cloud technologies, open data initiatives, and collaborative resources. This session highlights connections between data stewards, science practitioners, and essential functions of observational/computational infrastructures - including physical samples, airborne/field sensors, satellites, data lakes, APIs, and AI-compatible workflows to facilitate innovative science. We welcome submissions on methodologies and workflows integrating multifarious data; data curation and management; and interoperable, scalable, sustainable infrastructures enabling next-generation studies, near real-time monitoring, and interdisciplinary collaboration. Presentations demonstrating impactful science results from multi-source data syntheses are especially encouraged, as are technical implementations adhering to FAIR principles, utilizing cloud-native frameworks, and incorporating open-source solutions. Coalescing technologists, data stewards, and researchers, we’ll explore how manifold observations are increasingly interleaved and how digital infrastructures are reshaping methodologies for analyzing, understanding, and addressing changes in Earth systems.

Index Terms
9820 Techniques applicable in three or more fields
1910 Data assimilation, integration and fusion
1920 Emerging informatics technologies
1942 Machine learning

Suggested Itineraries:
Machine Learning and AI
Open Science and Open Data

Cross-Listed:
A - Atmospheric Sciences
B - Biogeosciences
H - Hydrology
GC - Global Environmental Change

Neighborhoods:
1. Science Nexus

Scientific Discipline
Suggested Itineraries
Neighborhood
Type
Presentations
Discussion