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The focus of this workshop is on the use of machine learning to help in addressing climate change, encompassing mitigation efforts (reducing the severity of climate change), adaptation measures (preparing for unavoidable consequences), and climate science (our understanding of the climate and future climate predictions). Topics within the scope of this workshop include climate-relevant applications of machine learning to the power sector, buildings and transportation infrastructure, agriculture and land use, extreme event prediction, disaster response, climate policy, and climate finance. The goals of the workshop are: (1) to showcase high-impact applications of ML to climate change mitigation, adaptation, and climate science, (2) to demonstrate that the associated ML methods are interesting in their own right, (3) to encourage fruitful collaboration between the ML community and a diverse set of researchers and practitioners from climate change-related fields, and (4) to promote dialogue with decision-makers in the private and public sectors, ensuring that the works presented in this workshop have impact on the thoughtful deployment of ML in climate solutions. Building on our previous workshops in this series, this workshop will have a particular focus on ML for the assessment and implementation of objectives set under the Paris Agreement, though submitted works may be on any topic at the intersection of ML and climate change.
Fri 5:00 a.m. - 5:15 a.m.
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Opening Remarks
SlidesLive Video » |
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Fri 5:15 a.m. - 6:00 a.m.
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Solomon Assefa: Addressing Enterprise Decarbonization and Climate Resiliency Goals with Advances in AI, Cloud, and Quantum Computing
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Keynote Talk
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SlidesLive Video » |
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Fri 6:00 a.m. - 6:10 a.m.
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Physics-Informed Graph Neural Networks for Robust Fault Location in Power Grids
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Spotlight Talk
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SlidesLive Video » |
Wenting Li 🔗 |
Fri 6:10 a.m. - 6:20 a.m.
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From Talk to Action with Accountability: Monitoring the Public Discussion of Policy Makers with Deep Neural Networks and Topic Modelling
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Spotlight Talk
)
SlidesLive Video » |
Vili Hätönen 🔗 |
Fri 6:20 a.m. - 6:30 a.m.
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Toward efficient calibration of higher-resolution Earth System Models
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Spotlight Talk
)
SlidesLive Video » |
Christopher Fletcher 🔗 |
Fri 6:30 a.m. - 7:30 a.m.
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Panel Discussion: Designing Projects and Finding Collaborators in Climate Change and ML
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Panel
)
SlidesLive Video » |
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Fri 7:30 a.m. - 8:30 a.m.
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Poster Session 1
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Poster Session
)
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Fri 8:30 a.m. - 9:15 a.m.
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Harnessing Machine Learning to Achieve Net Zero
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Keynote Talk
)
SlidesLive Video » |
Shakir Mohamed 🔗 |
Fri 9:15 a.m. - 9:25 a.m.
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Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach
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Spotlight Talk
)
SlidesLive Video » |
Wenqi Cui 🔗 |
Fri 9:25 a.m. - 9:36 a.m.
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NeuralNERE: Neural Named Entity Relationship Extraction for End-to-End Climate Change Knowledge Graph Construction
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Spotlight Talk
)
SlidesLive Video » |
Prakamya Mishra 🔗 |
Fri 9:36 a.m. - 9:44 a.m.
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An Accurate and Scalable Subseasonal Forecasting Toolkit for the United States
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Spotlight Talk
)
SlidesLive Video » |
Soukayna Mouatadid 🔗 |
Fri 9:44 a.m. - 9:54 a.m.
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Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
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Spotlight Talk
)
SlidesLive Video » |
Daniel Salles Civitarese 🔗 |
Fri 9:54 a.m. - 10:01 a.m.
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Wildfire Smoke Plume Segmentation Using Geostationary Satellite Imagery
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Spotlight Talk
)
SlidesLive Video » |
Jeffrey Wen 🔗 |
Fri 10:15 a.m. - 11:15 a.m.
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Panel Discussion: Monitoring and Mitigation of Emissions in Line with Paris Agreement Targets
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Panel
)
SlidesLive Video » |
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Fri 11:15 a.m. - 12:15 p.m.
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Poster Session 2
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Poster Session
)
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Fri 12:15 p.m. - 1:00 p.m.
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Kate Marvel: Using Machine Learning to Understand Present and Future Climate Changes: an Invitation
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Keynote Talk
)
SlidesLive Video » |
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Fri 1:00 p.m. - 1:10 p.m.
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Enhancing Laboratory-scale Flow Imaging of Fractured Geological Media with Deep Learning Super Resolution
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Spotlight Talk
)
SlidesLive Video » |
Manju Pharkavi Murugesu 🔗 |
Fri 1:10 p.m. - 1:21 p.m.
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On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data
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Spotlight Talk
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SlidesLive Video » |
Mark Roth 🔗 |
Fri 1:21 p.m. - 1:31 p.m.
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Revealing the impact of global warming on climate modes using transparent machine learning and a suite of climate models
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Spotlight Talk
)
SlidesLive Video » |
Maike Sonnewald 🔗 |
Fri 1:31 p.m. - 1:41 p.m.
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Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery
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Spotlight Talk
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SlidesLive Video » |
Gyri Reiersen 🔗 |
Fri 1:41 p.m. - 1:51 p.m.
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Designing Bounded min-knapsack Bandits algorithm for Sustainable Demand Response
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Spotlight Talk
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SlidesLive Video » |
Akansha Singh 🔗 |
Fri 2:00 p.m. - 2:45 p.m.
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Draguna Vrabie: Differentiable Predictive Control
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Keynote Talk
)
SlidesLive Video » |
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Fri 2:45 p.m. - 3:00 p.m.
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Closing Remarks and Awards
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Closing Remarks
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SlidesLive Video » |
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Fri 3:00 p.m. - 4:00 p.m.
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Poster Session 3
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Poster Session
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Fri 4:00 p.m. - 5:00 p.m.
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Gather.town networking
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Networking Session
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Author Information
Hari Prasanna Das (UC Berkeley)
Katarzyna Tokarska (ETH Zurich)
Maria João Sousa (IDMEC, Instituto Superior Técnico, Universidade de Lisboa)
Meareg Hailemariam (DAUST)
David Rolnick (McGill University, Mila)
Xiaoxiang Zhu (Technical University of Munich (TUM); German Aerospace Center (DLR))
Yoshua Bengio (Mila - Quebec AI Institute)
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Yoshua Bengio -
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