Workshop: AI for climate and environmental research
Climate and environmental science generates massive datasets from satellites, drones and measuring stations. AI can help to make sense of this data. At this workshop we will showcase examples of AI for climate and environmental science and discuss how we can apply AI to typical datasets generated in this domain. This workshop is organized by the Pufendorf Theme "The Air We Breathe 2.0" in collaboration with AI Lund, COMPUTE and the Faculty of Medicine sustainability working groups.
09:00 – 09:30
Sonja Aits (Lund University)
Why the Pufendorf Theme “The Air We Breathe – 2.0”, COMPUTE and AI Lund have teamed up: Opportunities at the interface of AI and climate/environmental science
09:30 – 09:50
Marcus Voss (Climate Change AI and Birds on Mars)
Tackling Climate Change with Machine Learning
09:50 – 10:10
Dominik Brunner (Empa, Switzerland)
Downscaling satellite NO2 observations using XGBoost and neural networks
Leena Järvi (University of Helsinki)
Large eddy simulation modelling of air quality supporting urban planning through AI
10:30 – 10:50
Break with online mingle
Olof Mogren (RISE)
Vaughan Phillips (Lund University)
Temporal Convolutional Networks for Emulating Clouds in a Climate Model
Johan Friberg and Sonja Aits (Lund University)
Open discussion about goals and challenges in climate and environmental data analysis – How can AI contribute?
Please register here.
Zoom link: https://lu-se.zoom.us/j/65021025560
More info on the organizations involved in the workshop here