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.

Projects in the bootcamp have included work in (1) energy on detecting solar, wind, and oil and gas infrastructure in satellite imagery, (2) earth science on predicting methane emissions from natural wetlands, (3) deforestation on classifying the drivers of forest loss events using satellite imagery, and (4) transportation on detecting travel infrastructure in urban areas using street view imagery.

Academic collaborators include faculty at Stanford Woods Institute for the Environment and Precourt Institute for Energy, UC Berkeley, and the University of Oxford.

Teaching Team

Jeremy Irvin

Hao Sheng

Andrew Ng

Climate Change Faculty

Rob Jackson

Ram Rajagopal

Sara Knox

Daniel Rodriguez

Gavin McNicol

Chris Field

Jackelyn Hwang

Peter Kitanidis

Etienne Fluet-Chouinard

Zutao Yang

Duncan Watson-Parris

Nonprofit Collaborators

Kemen Austin

Jack Kelly

David Gagne

Ritesh Gautam

Mark Omara

Kelsey Meisenhelder

Industry Collaborators

Kyle Story

Rose Rustowicz

Cooper Elsworth

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. Students work closely with PhD students in Professor Andrew Ng's lab and with faculty members in climate change-related fields. Students also collaborate with climate change experts from industry.

The program includes teaching team and guest lectures on machine learning methods and tools and their application to climate change, as well as reading groups covering state-of-the-art research at the intersection of AI and climate change. Students learn about a variety of AI topics relevant to climate change with an emphasis on remote sensing applications.

Applications

Students with a background in artificial intelligence are encouraged to apply. Our group’s primary focus is doing academic work that makes an impact--that is, we emphasize doing work that directly helps mitigate and adapt to climate change--so please apply only if you similarly have an impact-oriented mindset.

Applications for the Spring 2022 bootcamp have closed.

AI Specialization

The role 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 faculty and industry experts. 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 (20-30 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).

Web Development Specialization

AI projects are not complete before their tangible impact is demonstrated in the real world. This is why developing usable and robust applications for interfacing with AI models is a key element of our research projects.

This role is suited for students who have taken web development and software engineering courses. Students will be able to apply and sharpen these skills, developing robust, production-ready web applications with the mentorship of CS PhD students and software experts and in collaboration with faculty and industry experts. Students have the opportunity to take a deep dive into climate change and develop a web application. We expect students to:

  • Have taken at least one of CS142, CS147, CS193X, CS194H, CS210, CS247, or equivalent
  • Have proficiency in software engineering (CS107 or equivalent), have done Javascript programming, and have experience with one or more web development frameworks (e.g. Vue, React, Angular)
  • Dedicate 10-20 hours per week and attend 1 research meeting per week. Students can sign up for research credits.

Climate Specialization

This role is suited for students with a background in a climate-change related field. Students will work to define the focus of projects by exploring previous work and guiding the development of machine learning solutions to maximize their impact on climate change. Students have the opportunity to take a deep dive into AI and co-author a research paper. We expect students to:

  • Have background in at least one of the following fields: climate science, disaster management, earth monitoring, earth science, energy, forestry, transportation, and urban planning.
  • Have taken at least one statistics course (STATS60 or equivalent).
  • Know deep learning and machine learning at a conceptual level.
  • Dedicate 10-20 hours per week and attend 2 research meetings per week. Students can sign up for research credits.

Bootcamp Cohorts

Climate Change Bootcamp Spring 2021-2022

Quentin Hsu

Maya Srikanth

Eric Frankel

James Zheng

Daniella Hacco Grimberg

Felipe Godoy

Brian Hill

Ayush Singla

Climate Change Bootcamp Winter 2021-2022

Beri Kohen Behar

Lyna Kim

Muhammad Ahmed Chaudhry

Ha Tran

Yuanjun Li

Sahil Tadwalkar

Climate Change Bootcamp Fall 2021-2022

Nicholas Lui

Bryan Zhu

Timothy Dai

Suhas Chundi

Yuntao Ma

Langston Nashold

Jimmy Le

Climate Change Bootcamp Summer 2021

Jake Silberg

Matt Kolodner

Sarthak Kanodia

Climate Change Bootcamp Spring 2020-2021

Gil Kornberg

Raghav Samavedam

Sergio Charles

Collin Kwon

Benjamin Liu

Climate Change Bootcamp Winter 2020-2021

Lyron Co Ting Keh

Jake Taylor

Sonia Chu

Mauricio Wulfovich

Chris Rilling

Andrew Yang

Climate Change Bootcamp Fall 2020-2021

Irena Gao

Sam Masling

Erfan Rostami

Tatiana Wu

Andrew Hwang

Julie Fang

JK Hunt

Michelle Bao

Eric Matsumoto

Climate Change Bootcamp Summer 2020

Jared Isobe

Eric Zeng

Climate Change Bootcamp Spring 2019-2020

Andrew Ying

Heejung Chung

Avoy Datta

Tai Vu

Jenny Yang

Tiger Sun

Climate Change Bootcamp Winter 2019-2020

Shawn Zhang

Sasankh Munukutla

Christopher Cross

Climate Change Bootcamp Fall 2019-2020

Sonja Johnson-Yu

Eric Zelikman

Cooper Raterink

Neel Ramachandran

Climate Change Bootcamp Summer 2019

Neethu Renjith

Jiyao Yuan

Climate Change Bootcamp Spring 2018-2019

Fred Lu

Andrew Kondrich

Vincent Liu

Jabs Aljubran

Eva Zhang

Will Deaderick