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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of the July meeting is "Data for All People: From Generation to Use and Understanding."

Registered attendees can join us virtually at https://2022julyesipmeeting.qiqochat.com/.
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Wednesday, July 20 • 2:00pm - 5:00pm
Enabling AI Application for Climate: Developing A Collection of AI-ready Open Climate Data – Data-A-Thon

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Artificial intelligence (AI) can be a powerful tool to improve our understanding of the climate, assess regional climate vulnerability, mitigate climatic impacts on society, and identify solutions to climate adaptation. AI-ready open climate datasets are crucial to enable AI applications for climate actions. ESIP Data Readiness Cluster has developed an AI-ready data checklist to guide the Earth and space science community to assess datasets’ readiness for AI applications. AI-ready data not only can enable practical AI applications but also provides an opportunity to modernize data management practices for all use cases. Developing AI-ready open climate data requires sustainable collaboration across organizations. The collaboration should actively integrate users' requirements to ensure the data are useful to enable AI applications and are also useful to all people.

This hands-on working session invites researchers, data producers, data managers, and data users to collaborate on developing a collection of AI-ready open climate data. The session has two primary goals – 1) researchers, data producers, and data managers will use the AI-ready data checklist to assess the readiness of pre-selected and/or their own open climate data for AI applications and identify potential future improvements; 2) AI practitioners and data users will design a AI-readiness metrics to represent an AI-ready data collection.

This session is a kickoff event for the planned activities for the Data Readiness Cluster for the next six months focusing on a pilot thematic AI-ready data collection. All participants are invited to contribute to the development of a community guideline on AI-ready data for open environmental data. Recommended Ways to Prepare: Data Readiness Cluster will use the June monthly meeting call to provide overview and tutorial for AI-ready data checklist.

Session agenda:

2:00–2:30 - Overview & Background
2:30–3:30 - Hands-on assessment
3:30–3:45 - Break
3:45–4:15 - Feedback collection on AI-ready data assessment
4:15–4:50 - Design sprint for AI-ready data metrics to demonstrate assessment result
4:50–5:00 - Wrap up
NOTE: Both assessment and design sprint are suitable for in person and virtual participants - ALL are welcomed!

How to prepare for the session:

1. Bring your own laptop to this session as we will perform self assessment on datasets using Google spreadsheets and Google Doc.
2. Review AI-ready data checklist (including definition of the terms in the checklist): https://doi.org/10.6084/m9.figshare.19983722.v1
3. Select (a) dataset(s) for the assessment
    3.1 Don't have a specific dataset in mind for the hands-on assessment? We have a list of datasets that you can help with the assessment during the session!
    3.2 Have your own dataset for the assessment? Great! We want to hear all about it!
4. Review the background information about the AI-ready data collaboration.

Session materials:

1. Link to make a copy of the assessment tool.
2. Link to the session slides

avatar for Yuhan (Douglas) Rao

Yuhan (Douglas) Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Tamar Norkin

Tamar Norkin

Science Data Management, U.S. Geological Survey
avatar for Ge Peng

Ge Peng

Sr. Principal Research Scientist, The University of Alabama in Huntsville
Serving as one of the ESIP Information Quality Cluster co-chairs. I am always interested in learning from or talking with you about the approaches to assess data product quality and to consistently document the quality information ... Use cases of capturing and sharing quality information... Read More →
avatar for Ed Armstrong

Ed Armstrong

Science Systems Engineer, NASA JPL/PO.DAAC
avatar for Rob Redmon

Rob Redmon

Scientist, NOAA Center for AI
Dr. Rob Redmon is a senior scientist with NOAA's National Centers for Environmental Information (NCEI). He is the Lead for NOAA's Center for Artificial Intelligence (NCAI, noaa.gov/ai), and the Space Weather Follow On (SWFO) Science Center.

Wednesday July 20, 2022 2:00pm - 5:00pm EDT
Ballroom 2 600 Commonwealth Pl, Pittsburgh, PA 15222