Climate engagement is key to reducing emissions by changing personal and organisational behaviour. AI methods can be used to reduce the psychological distance to climate impacts in groups who are not actively experiencing the negative effects of climate change in their daily life. Efforts have been made to ‘localise’ the problem, by training networks on disaster imagery and applying that to generate new (‘fictional’) images of places yet to experience the impact of related extreme weather phenomena as a result of climate change.
A report from the Oxford FoundryThis document gives an overview of the challenges presented by the climate crisis and the scope for AI-based solutions to those challenges. Specifically, it will…
Visualizing Climate Change – MilaOur project aims to raise awareness and conceptual understanding of climate change by bringing the future closer. Conceptual interactive website to show precise and personalised impacts…
A case study from ResearchGateWe present a project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs). Case Study:…
