Summary
Keywords
Full Transcript
Climate models are essential in policy making. Current climate models, however, are quite impractical for answering quick ‘what-if’ questions, because they are too slow. For example, ‘what-if we plant one trillion trees’ or ‘what if we increase the carbon tax’. This talk will overview a doctoral thesis defense on how deep learning could create approximations of climate models that can quickly answer such questions. We call those approximations ’emulators’. After introducing climate emulators, I will address a core challenge on how to develop emulators on physical, chaotic, multiscale data using Multiscale Neural Operators. Lastly, I will present a roadmap towards an online tool that uses deep learning emulators to create accessible simulations of climate policy impacts. Speakers: Björn Lütjens PhD Candidate / Research Assistant Massachusetts Institute of Technology (MIT) Moderators: Markus Reichstein Director & Professor Max Planck Institute for Biogeochemistry Join the Neural Network! https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
