Projects spanned remote sensing, energy, Earth system science, deforestation, transportation, and atmospheric science, with many published in top AI conferences (e.g. ICLR, NeurIPS, ICML) and applied journals (e.g. Nature Communications).
Our academic collaborators included faculty at Stanford University, UC Berkeley, the University of Illinois Chicago, the University of British Columbia, and the University of Oxford.
AICC bootcamp alumni 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 was an intense program where students worked on high-impact research problems at the intersection of AI and climate change. Students worked closely with PhD students in Professor Andrew Ng's lab as well as faculty members and industry experts in climate change-related fields.
The program included lectures on machine learning methods 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 learned about a variety of AI topics relevant to climate change with an emphasis on geospatial applications. Students had the opportunity to write research papers and create new climate AI technologies, several of which are featured under Past Bootcamp Projects below.
