Trustworthy Artificial Intelligence for Environmental Science Summer School 2021

The Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School will be held virtually the week of July 26-29, 2021. It is being held by the National Center for Atmospheric Research in conjunction with NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES).


Slides and Recordings



The TAI4ES Summer School will focus on getting attendees up-to-speed on how to develop trustworthy AI for the Earth & environmental sciences.  Each morning, students will participate in lectures from leading researchers in trustworthy AI for environmental sciences.



The goals of the summer school are as follows:

  1. Learn about the foundations of trustworthiness for AI 
  2. Understand explanatory AI (XAI) and how both explanations and physics and robustness can help build trust in AI
  3. Learn how ethics and trust relate for AI
  4. See how machine learning systems have been developed for a range of environmental science application



Summer School Agenda



Registration is closed.


Recommended Resources

This summer school builds on the AI4ESS summer school offered by NCAR in 2020.  We will assume that you have a basic background in AI methods.  If you want to learn more about the basics, we highly recommend reviewing some of the 2020 lectures!  

The 2021 CIRA short course on machine learning for weather and  climate also provides excellent background lectures as well as hands-on notebooks with examples to get you started.


Certificate of Participation

If you would like a certificate of participation, please email You must have registered for TAI4ES to receive a certificate. 


Summer School Organizers

  • Ann Bostrom, University of Washington
  • John Schreck, NCAR
  • Julie Demuth, NCAR
  • Maria Molina, NCAR
  • Philippe Tissot, Conrad Blucher Institute, Texas A&M University
  • Susan Dubbs, Oklahoma University
  • Taysia Peterson, NCAR
  • Amy McGovern, University of Oklahoma
  • Imme Ebert-Uphoff, Colorado State University
  • John Williams, The Weather Company (IBM)


Summer School Administrator

Taysia Peterson (


Code of Conduct

UCAR and NCAR are committed to providing a safe, productive, and welcoming environment for all participants in any conference, workshop, field project or project hosted or managed by UCAR, no matter what role they play or their background. This includes respectful treatment of everyone regardless of gender, gender identity or expression, sexual orientation, disability, physical appearance, age, body size, race, religion, national origin, ethnicity, level of experience, political affiliation, veteran status, pregnancy, genetic information, as well as any other characteristic protected under state or federal law. 

All participants (and guests) are required to abide by this Code of Conduct. This Code of Conduct is adapted from the one adopted by AGU, complies with the new directive from the National Science Foundation (NSF) and applies to all UCAR-related events, including those sponsored by organizations other than UCAR but held in conjunction with UCAR events, in any location throughout the world. 

The full Code of Conduct document can be found here



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