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 […]

The China trade shock and the ESG performances of US firms

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Speaker: Prof. Hui Xu, Accounting and Finance, Lancaster University Abstract: How does import competition from China affect engagement on ESG initiatives by US corporates? On the one hand, reduced profitability due to import competition and lagging ESG performance of Chinese exporters can disincentivize US firms to put more resources to ESG initiatives. On the other […]

Cross-sectional explanatory power of ESG features

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Speaker: Prof. Damien Challet, Mathematics & Computer Science, University of Paris-Saclay Abstract: We systematically investigate the links between price returns and ESG features. We propose a cross-validation scheme with random company-wise validation to mitigate the relative initial lack of quantity and quality of ESG data, which allows us to use most of the latest and […]

Mathematical psychology of behavioural dynamics

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Speaker: Prof. Dorje C. Brody, Mathematics, University of Surrey Abstract: The behaviour of a person is dominated by their ability to process uncertain information available to them. When there is a range of alternatives to choose from, the likelihoods assigned by the person to these different alternatives determine the state of their mind in relation […]