"Climate Change: How Can AI Help?" ICML2019 Workshop Highlights

climate_change_ai.md

Climate Change: How Can AI Help? climatechange.ai

Friday, June 14th 2019 - Times relative to Pacific Time (PT or GMT-8)

Part 1

https://slideslive.com/38917142/climate-change-how-can-ai-help

• 8:30 - 8:45 - Welcome and Opening Remarks
• 8:45 - 9:20 - John Platt (Google AI): AI for Climate Change: the Context (Keynote talk)
• 9:20 - 9:45 - Jack Kelly (Open Climate Fix): Why it’s hard to mitigate climate change, and how to do better (Invited talk)
• 9:45 - 10:10 - Andrew Ng (Stanford): Tackling climate change challenges with AI through collaboration (Invited talk) Wind
• 10:10 - 10:20 - Volodymyr Kuleshov (Afresh): Towards a Sustainable Food Supply Chain Powered by Artificial Intelligence (Spotlight talk)
• 10:20 - 10:30 - Clement Duhart: Deep Learning for Wildlife Conservation and Restoration Efforts (Spotlight talk)

Part 2

https://slideslive.com/38917143/climate-change-how-can-ai-help-ii

• 11:00 - 12:00 - Chad Frischmann (Project Drawdown): Achieving Drawdown (Keynote talk)

Part 3

https://slideslive.com/38917144/climate-change-how-can-ai-help-iii

• 1:30 - 1:55 - Yoshua Bengio (Mila): Personalized Visualization of the Impact of Climate Change (Invited talk)
• 1:55 - 2:30 - Claire Monteleoni (CU Boulder): Advances in Climate Informatics: Machine Learning for the Study of Climate Change (Invited talk)
• 2:30 - 2:40 - Duncan Watson-Parris: Detecting anthropogenic cloud perturbations with deep learning (Spotlight talk)
• 2:40 - 2:50 - Chaopeng Shen: Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions (Spotlight talk)
• 2:50 - 3:00 - Mohammad Mahdi Kamani: Targeted Meta-Learning for Critical Incident Detection in Weather Data (Spotlight talk)

Part 4

https://slideslive.com/38917145/climate-change-how-can-ai-help-iv

• 3:30 - 3:45 - Karthik Mukkavilli (Mila): Geoscience data and models for the Climate Change AI community (Invited talk)
• 3:45 - 4:20 - Sims Witherspoon (DeepMind): ML vs. Climate Change, Applications in Energy at DeepMind (Invited talk)
• 4:20 - 4:30 - Lynn Kaack: Truck Traffic Monitoring with Satellite Images (Spotlight talk)
• 4:30 - 4:50 - Neel Guha: Machine Learning for AC Optimal Power Flow (Spotlight talk)
• 4:40 - 4:50 - Christian Clough, Gopal Erinjippurath: Planetary Scale Monitoring of Urban Growth in High Flood Risk Areas (Spotlight talk)
• 4:50 - 5:15 - “Ideas” mini-spotlights
• 5:15 - 6:00 - Yoshua Bengio, Andrew Ng, Raia Hadsell, John Platt, Claire Monteleoni (Panel discussion)