Artificial Intelligence for Earth System Science (AI4ESS) Summer School

The AI4ESS Summer School will be held virtually June 22-26, 2020 by the National Center for Atmospheric Research (Boulder, Colorado, USA).

COVID-19 CONTINGENCY PLANS

***Due to COVID-19 travel restrictions, the AI4ESS summer school will be held virtually in June. We will provide more details of how it will be organized in the next couple of weeks. Please check back here again soon.***

Description

The AI4ESS Summer School is a week long interactive course covering essential and cutting edge topics in artificial intelligence, machine learning, and deep learning that are relevant for Earth System Science problems. Each morning, students will participate in lectures from leading researchers at the intersection of AI and ESS on AI fundamentals, ESS AI applications, and emerging methods. Afternoons will feature interactive breakout sessions where students will work in teams to solve challenge problems with real Earth System data and the AI techniques they have studied during the week. There will also be opportunities to network with the instructors and other students and present a poster about your research.

Goals

The goals of the summer school are as follows:

  1. Learn about the fundamentals of data processing, machine learning and deep learning algorithms, evaluation, and interpretation.
  2. See how machine learning systems have been developed for a range of Earth System Science applications.
  3. Develop hands-on experience with machine learning techniques covered in the course on real-world Earth System Science datasets.
  4. Investigate new and emerging methods for ESS machine learning.
  5. Network with fellow students and instructors.

Program

The full schedule will be announced in the coming weeks. The general schedule each day will be:
8:30 to 12 PM Mountain Time: Livestreamed Lectures
1 PM to 6 PM Mountain Time: Hackathon

Confirmed Instructors

Katie Dagon, NCAR
Imme Ebert-Uphoff, Colorado State University/CIRA
David John Gagne, NCAR
David Hall, NVIDIA
Dorit Hammerling, Colorado School of Mines
Sue Ellen Haupt, NCAR
Karthik Kashinath, Lawrence Berkeley Lab
Ryan Lagerquist, University of Oklahoma
Amy McGovern, University of Oklahoma
Mustafa Mustafa, Lawrence Berkeley Lab
Mike Pritchard, UC Irvine
Jebb Stewart, NOAA ESRL

Venue

The summer school will be hosted by the National Center for Atmospheric Research (NCAR) and will be held virtually.

Cost

There will be no registration fee for the summer school. 

Summer School Program Coordinators

David John Gagne
Karthik Kashinath
Natasha Flyer
Rich Loft

Please direct questions about the program to David John Gagne (dgagne@ucar.edu)

Summer School Administrator

Taysia Peterson (taysia@ucar.edu)

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.