Deadline: 31-Jan-23

The Climate Change AI (CCAI) is pleased to announce its Summer School Program which is designed to educate and prepare participants with a background in artificial intelligence (AI) and/or a background in a climate change-related field to tackle major climate problems using AI.

The summer school aims to bring together a multidisciplinary group of participants and facilitate project-based team work to strengthen collaborations between different fields and foster networking in this space.

This year, the summer school consists of two independent components: an open-to-all virtual program (held between June-August 2023) and a selective in-person program (from August 14-18, 2023 in Montreal, Canada). Courses will be conducted by members of Climate Change AI and world-renowned experts in AI and climate change.

Summer School Structure

• Virtual Program
  • The virtual program will provide an overview of how artificial intelligence (AI) and machine learning (ML) can be used to address climate change. Through lectures and tutorials, participants will learn how AI/ML are employed across different climate-relevant fields/sectors, discuss important considerations for framing/scoping problems, and gain hands-on practice applying AI/ML to climate-relevant problems.
  • Modules will be presented at varying levels of technical depth. For some of the modules, substantial knowledge about AI/ML, Python programming, or both is assumed. For other modules, only minimal prerequisite knowledge about AI/ML, Python programming, or both is assumed. Individual module prerequisites will be made clear prior to the summer school and self-study materials will be sent before the summer school to help participants acquire the background necessary for some of the modules.
• In-Person program
  • In this edition they will also be hosting a small (< 50 person) in-person program for one week from August 14, 2023 to August 18, 2023 at Mila – Quebec AI Institute in Montreal, Canada. The schedule of the program is TBD but will be held between 9am and 5pm ET each day.
  • The goal of the in-person program is to foster connections between participants to do impactful work at the intersection of artificial intelligence (AI) / machine learning (ML) and climate change both now and in the future. The in-person program will give participants the opportunity to work on collaborative projects together in multi-disciplinary teams. The program will also have social activities to help build connections between participants.
• Virtual Program
  • Dates: Between June-August 2023 (exact dates to be announced)
• In-Person Program
  • Dates: August 14-18, 2023
  • Location: Mila – Quebec AI Institute, Montreal, Canada

Eligibility Criteria

• Virtual Program
  • The virtual program will be free to attend and open to all registered participants who are at least 18 years of age. The virtual program will be held sometime between June and August – the exact dates and times will be announced before the end of May 2023.
  • Register early to receive updates about the virtual program. Directions about how to attend the virtual program will be shared with the registered email address before the start of the program.
• In-person Program
  • They welcome applications from students, researchers, engineers, practitioners, and others in the public and private sectors who are interested in using AI/ML to address problems in climate change mitigation, adaptation, or climate science. Applicants must be at least 18 years of age.
  • Admission to the in-person program will be based on a selection process. Accepted applicants will have the opportunity to apply for financial assistance to cover some of the costs to attend the summer school (like lodging, food, travel). Before accepted participants need to confirm their attendance, they will let them know which costs will be covered for everyone and they will also let accepted participants know if they have been awarded financial aid.

For more information, visit CCAI.