--- A virtual workshop held November 9-13, 2020 ---
The WIFIRE Commons project has been funded by NSF Convergence Accelerator program to rapidly enable community integration for access to open data, models, and AI tools to address critical needs in wildfire detection, response, and proactive treatments. Our main objective to enable and collaborate around proactive data-driven solutions to wildfire science needs and its application to practice. As a part of this approach, we are hosting virtual workshops for community engagement.
This first workshop on fire science aims to understand data needs and opportunities of AI to help integrate and assimilate data, provide critical inputs to a wide range of modeling, and support fire response, treatment planning, and fire effects prediction. AI in this context is combined data and model-driven applications for extracting fire-relevant information to improve the quality of fire prediction.
We have invited a diverse group of experts with an understanding in topical areas (fuels, atmosphere, fire effects, fire modeling output needs) that help frame the wildfire problem, treatment prioritization, modeling needs, and areas where AI can create solutions.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
