Zoom RecordingNotes DocArtificial 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
