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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policy makers, and the public. The theme of this year’s meeting is Leading Innovation in Earth Science Data Frontiers.

Join is for the ESIP Meeting Highlights Webinar on Friday February 19th at 2 pm ET/11 am PT. Find connection info at https://www.esipfed.org/telecons.
avatar for Catalina Oaida

Catalina Oaida

NASA JPL
Applied Science System Engineer
Pasadena, CA
Applied Science System Engineer, combining hydrologic & Earth science domain expertise with a system engineering perspective, focusing on broadening the user base for NASA Earth observations and remote sensing data in the Cloud, and helping increase discoverability, accessibility and usability of these data for the science research and applications communities.
Tuesday, January 26
 

11:00am EST

Opening Plenary: Creating a Culture of Innovation & Working at Frontiers Plenary

1:30pm EST

Onboarding your team to AWS Room 4

4:00pm EST

Jupyter Notebooks: Harnessing the full potential Room 7 Linking Knowledge in the Earth and Space Sciences: Knowledge Graphs/Networks connecting data and individuals Room 5
 
Wednesday, January 27
 

11:00am EST

Analysis Ready Data in science and industry Room 4

1:30pm EST

Plenary: Innovation & New Frontiers in AI and ML in the Earth sciences Plenary

6:00pm EST

Research Showcase TBA
 
Thursday, January 28
 

11:00am EST

Plenary: Innovations in Open Search & Discovery Plenary

1:30pm EST

Advancements in STAC and Remote Sensing Applications in the Cloud Room 4 Best Practices & Fundamental Challenges of AI in Earth and Space Sciences Room 2

4:00pm EST

Carbon Management, Food, Agriculture, Human well-being: Using informatics to connect the climate action dots Room 6 Science in the Cloud Demos Room 8
 
Friday, January 29
 

11:00am EST

California Burning...Putting Data to Work Room 1 Accelerating Artificial Intelligence Applications at Scale with AI-ready Data Room 2
 
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