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HydroML Abstract Submission
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* Indicates required question
Email
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Your email
First Name
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Your answer
Last Name
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Your answer
Institution/Company
Your answer
Are you planning to attend the conference in person?
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Yes
Yes, unless there are changes in Covid, policy, etc.
No
No, unless there are changes in Covid, policy, etc.
Undecided
What type of presentation would you prefer? (Session chairs will make the final arrangements, and some lightning talks will be invited as longer talks)
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Poster only
Abstract title
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Your answer
Abstract authors
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Your answer
Abstract text
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Your answer
Select relevant science topic keywords (up to two)
Hydrometeorology
Climate Change Impacts/Extreme Events
Watershed Science
Rainfall/Runoff
Ecohydrology
Soil hydrology
Subsurface Hydrology (including reactive transport)
Water Quality
Human Dimensions/Urban Hydrology
Rivers & Lakes
General (none of the above)
Select the most relevant ML methodological keyword (up to one)
Deep Learning - Supervised
Unsupervised machine learning
Physics-informed Machine Learning (including differentiable hydrology)
Non-deep machine learning
Big Data/Data Science (including big data acquisition)
Generative modeling
Graph networks
Explanatory AI
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