The AI for Climate Change Bootcamp provides Stanford students an opportunity to do cutting-edge research at the intersection of AI and climate change. Students receive training from PhD students and bootcamp faculty to do interdiscplinary research on high impact problems.

The applications for the Winter+Spring bootcamp are now open.

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Teaching Team

Jeremy Irvin

PhD Student

Sharon Zhou

PhD Student

Hao Sheng

PhD Student

Pranav Rajpurkar

PhD Student

Andrew Ng

Professor

Rob Jackson

Professor

Ram Rajagopal

Professor

Sara Knox

Professor

Gavin McNicol

Postdoc

Etienne Fluet-Chouinard

Postdoc

Zhecheng Wang

PhD Student

Kyle Story

Descartes Labs Scientist

Rose Rustowicz

Descartes Labs Scientist

Cooper Elsworth

Descartes Labs Scientist

Program

The AICC bootcamp is an intense two-quarter program where students work on high-impact research problems at the intersection of AI and climate change (earth system science and energy). Students work closely with PhD students in Professor Andrew Ng's lab, with faculty in the Department of Earth System Science and the Department of Civil and Environmental Engineering, and with scientists from Descartes Labs.

Applications

Students with a background in artificial intelligence are encouraged to apply. Applications for the 2019 Winter+Spring bootcamp have now opened.

  • Regular Applications due Dec 30th, 2019 at 11:59p PST.
  • Late Applications due Jan 8th, 2020 at 11:59p PST. Apply early to give yourself enough time to prepare for the interview.
  • Rolling interviews and selections until Jan 9th, 2020.
  • Bootcamp starts Jan 10th, 2020.

Prerequisites and Commitment

This bootcamp is suited for students who have taken machine learning and software engineering courses. Students will be able to apply and sharpen these skills, developing machine learning solutions to challenging problems with the mentorship of CS PhD students and in collaboration with earth system science and civil and environmental engineering faculty. Students have the opportunity to take a deep dive into climate change and co-author a research paper. We expect students to have:

  • Taken machine learning courses (CS229/CS230/CS224N/CS231N or equivalent).
  • Proficiency in software engineering (CS107 or equivalent), and have done Python programming.
  • The bootcamp as their primary academic engagement (30-40 hours per week in lab) outside of 1 or 2 courses. We encourage students to sign up for research credits (CS 199, CS 399 etc).

Past Bootcamp Cohorts

Climate Change Bootcamp Fall 2019-2020

Sonja Johnson

MS Student

Eric Zelikman

BS Student

Cooper Raterink

MS Student

Neel Ramachandran

MS Student

Climate Change Bootcamp Summer 2019

Neethu Renjith

MS Student

Jiyao Yuan

MS Student

Climate Change Bootcamp Spring 2018-2019

Fred Lu

MS Student

Andrew Kondrich

BS Student

Vincent Liu

BS Student

Jabs Aljubran

MS Student

Eva Zhang

BS Student

Will Deaderick

MS Student

We invite you to join the AI revolution in climate change

Apply Now