AI for Earth Summer School

Climate change, loss of bio-diversity, and food, water and energy security for the growing population of the world are some of the greatest environmental challenges facing humanity. These challenges have been traditionally studied by science and engineering communities via process-guided models that are grounded in scientific theories. Motivated by the phenomenal success of machine learning (ML) in advancing areas such as computer vision and language modeling, there is a growing excitement in the scientific communities to harness the power of machine learning to address these societal challenges. In particular, massive amounts of data about Earth and its environment are now continuously being generated by a large number of Earth-observing satellites, in-situ sensors, as well as physics-based models. These information-rich datasets, in conjunction with recent ML advances, offer huge potential for understanding how the Earth's climate and ecosystem have been changing, how they are being impacted by human actions, and for devising policies to manage them in a sustainable fashion.
 

The summer school will be led by Prof. Vipin Kumar. Participants will receive a stipend of $2,000 paid in installments throughout the summer. For the in-person week: students will be provided with housing in university dorms, meal plans, and reimbursement for travel expenses. You can reach us by email at [email protected].