Research Forum on Machine Learning & Climate Science
Modern climate science is becoming increasingly limited by our ability to understand complex interactions in vast amounts of data from earth observations and models. At the same time, advances in the field of machine learning, driven by the development of new data-intensive algorithms, are having a major impact on many areas of technology and science, revealing insights so far unreachable.
This Oxford Climate Research Network research forum brings together researchers across the University from the climate science and artificial intelligence / machine learning communities to exchange ideas, discuss future plans and share tools and methods. This includes people already using machine learning techniques and those in interested in what it has to offer.
Building on a successful workshop in 2018 and the Climate Informatics 2020 conference hosted in Oxford we hold regular informal meetings to explore the synergies between these research areas and fertilise collaborations between participants.
Dr Duncan Watson-Parris: email@example.com
Prof Philip Stier: firstname.lastname@example.org