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2025 January ESIP Meeting
We are a home for Earth science data and computing professionals. Our sessions bring together the community for hands-on, interdisciplinary deep dives as we explore "Innovation to Impact" this year. Learn more about ESIP: esipfed.org

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Venue: Room 5 clear filter
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Tuesday, January 21
 

4:00pm EST

Next Paper Idea for Realizing Practical Earth AI
Tuesday January 21, 2025 4:00pm - 5:30pm EST
Room 5
We will talk on a range of ideas centering on data, AI models, and AI product life cycles. We will determine what we should do next to help community realize practical, trustworthy, and ethical AI.

Value to Session Participants: Clear the mind on what AI projects should be carried out, participate to draft the community paper, be part of the big effort on navigating AI efforts in Earth Science Data community.

Recommended Ways to Prepare: Read the AI readiness checklist and the meeting notes of machine learning cluster. 
Speakers
avatar for Ziheng Sun

Ziheng Sun

Research Associate Prof, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and machine learning in atmospheric and agricultural sciences.
Tuesday January 21, 2025 4:00pm - 5:30pm EST
Room 5
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Tuesday, January 21
Wednesday, January 22
Thursday, January 23
Friday, January 24
Coffee Break
Plenary
Research Showcase
Room 1
Room 2
Room 3
Room 4
Room 5
Room 6
Room 7
TBA
  • Break
  • Breakout
  • Networking
  • Plenary
  • Session Track Tags
  • Air Quality
  • Cloud Computing
  • Data Discovery
  • Data integration
  • Data Stewardship
  • Education
  • Federal agencies
  • Food Security
  • Indigenous Data Sovereignty
  • Machine Learning
  • Metadata
  • Science Communication
  • Semantics
  • Other Keywords
  • accessibility
  • Adaptation
  • AI Readiness
  • AQ
  • Biological Data Standards
  • clinical informatics
  • community
  • Data Discovery
  • data policy
  • Data Quality
  • data strategies
  • data user
  • DEIJ
  • equity
  • geolocation
  • interdisciplinary
  • Large Language Model
  • mineral data analysis
  • modeling
  • movement building
  • Neuro-symbolic AI
  • open science
  • partnerships
  • pollution
  • research science data
  • Resilience
  • underserved communities
  • Wildfire
  • Session Level
  • No prior knowledge or experience - the session skims the surface or is an introduction
  • Some prior knowledge AND a quick review of supporting materials before the session will be a sufficient orientation for novices to feel more comfortable in the session
  • Some prior knowledge – the session will jump right into an intermediate level