Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Virtual Summer School 2022 

  Day 4 Discussion On day 4, we learned about quantifying and communicating uncertainty. In the trust-a-thon session today, we want you to investigate uncertainties in the severe problem and

  Day 4 Discussion On day 4, we learned about quantifying and communicating uncertainty. In the trust-a-thon session today, we want you to investigate uncertainties in the tropical problem and

  Day 4 Discussion On day 4, we learned about quantifying and communicating uncertainty. Today we will consider how to quantify uncertainty and communicate it for the Space problem and

  Day 3 Discussion On day 3, we learned about the importance of trustworthy data and workflows as well as how to present case studies. In the trust-a-thon session today,

  Day 3 Discussion On day 3, we learned about the importance of trustworthy data and workflows as well as how to present case studies. In the trust-a-thon session today,

  Day 3 Discussion On day 3, we learned about the importance of trustworthy data and workflows as well as how to present case studies. In the trust-a-thon session today,

Day 2 Discussion On day 2, we learned more about explainability versus interpretability and about deep learning XAI Methods. Please have one of your team members reply in the comments

Day 2 Discussion On day 2, we learned more about explainability versus interpretability and about deep learning XAI Methods. Please have one of your team members reply in the comments

Day 2 Discussion On day 2, we learned more about explainability versus interpretability and about deep learning XAI Methods. Please have one of your team members reply in the comments

How to get started with the Trust-A-Thon   Update (28 June 2022 12 PM MT): GPU Servers are now available. You should have received an invitation to the 2022 TAI4ES

Day 1 Discussion On day 1, we learned about the Severe prediction problem, became more familiar with the data, trained machine learning models for the problem, and performed some initial

Day 1 Discussion On day 1, we learned about the Tropical prediction problem, became more familiar with the data, trained machine learning models for the problem, and performed some initial

Day 1 Discussion On day 1, we learned about the Space Weather prediction problem, became more familiar with the data, trained machine learning models for the problem, and performed some