Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi-sector resilience

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Speaker: Prof. Auroop Ganguly, Civil & Environmental Engineering, Northeastern University Abstract: Global climate and earth system models (ESMs), which numerically solve partial differential equations with high performance simulations, continue to have knowledge gaps and exhibit intrinsic variability for stakeholder relevant variables and resolutions. Data-driven sciences integrated with process understanding, especially the physics or biogeochemistry that […]

Environmental, Social, Governance scores and the missing pillar: Why does missing information matter?

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Speaker: Dr. Oezge Sahin, Mathematical Statistics, Technical University of Munich Abstract: Environmental, Social, and Governance (ESG) scores measure companies' performanceconcerning sustainability and societal impact and are organized on three pillars:  Environmental (E), Social (S), and Governance (G). These complementary non-financial ESG scores should provide information about the ESG performance and risks of different companies. However, […]

ESGBERT: Language model to help with classification tasks related to companies ESG practice

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Speaker: Srishti Mehra, School of Information, UC Berkeley Abstract: Environmental, Social, and Governance (ESG) are non-financial factors that are garnering attention from investors as they increasingly look to apply these as part of their analysis to identify material risks and growth opportunities. Some of this attention is also driven by clients who, now more aware […]