About Fire Weather and Impact Theme: This year's AI Workshop is piloting a collaboration development activitu modeled after the hackweek which brings participants with different backgrounds together to form collaboration and develop various use cases that are related to research and applications for fire weather and impacts. The core objective of FireWxHack are two-fold:
1. Foster collaboration building in applying AI/ML for fire weather research: Provide opportunities for fire weather researchers and data scientists to develop project ideas on how to use AI/ML and open environmental data for fire weather research & application development.
2. Collect user feedback on open environmental data for AI/ML in fire weather: Collect user feedback on how to improve open environmental data that can accelerate the adoption of AI/ML in fire weather research.
This event is
NOT a data science competition and there is no fixed target for each individual team.
Session information:
This session will use interactive collaboration tools, breakout rooms, and facilitated discussion to help fire weather theme participants to form teams that are interested in similar use cases to develop use case ideas and outline the project development plans.
Relevant materials:
1.
About FireWxHack: Document summarizing the goal of fire weather theme activities.
2.
Introduction slides: Slides used during meet and greet to describe the timeline of fire weather theme.
3.
Suggested use cases: These are three suggested use cases with relevant environmental data for fire weather research.
4.
JupyterHub Environment: https://oasis.ncics.org (require GitHub user name to sign in).
