Projects in the bootcamp have included work in a variety of climate-relevant subfields including:
Our academic collaborators include faculty at Stanford University, UC Berkeley, the University of Illinois Chicago, the University of British Columbia, and the University of Oxford.
AICC bootcamp alumni have pursued PhD programs at Stanford, MIT, Cambridge, and Harvard University, and assumed industry roles at OpenAI, Scale AI, Google X, Meta Research, and Microsoft Research.
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.
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 Summer 2024 bootcamp have closed.
The 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 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:
