9.20.22-Sustainability-Noelle-Eckley-Selin

Conference Video|Duration: 27:36
September 20, 2022
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  • Video details
    Climate and sustainability challenges are reshaping our world, but we lack sufficiently accurate and useful models to inform decision-making that capture these issues in their full complexity. Noelle Eckley Selin will present research efforts, including her recently-launched MIT Climate Grand Challenge project, which aims to provide accurate and actionable scientific information to decision-makers to inform the most effective mitigation and adaptation strategies. One component of this Grand Challenge project is the development of a novel platform that leapfrogs existing climate decision support tools by leveraging advances in computational and data sciences to improve the accuracy of climate models, quantify their uncertainty, and addresses the trade-off between performance and computation time with attention to industry and government stakeholder needs. Another aspect will be associated “emulators” — fast-running, efficient models that are more usable by stakeholders, but that maintain the highest possible accuracy in predicting specific variables relevant to sustainability. Professor Selin will give specific examples drawn from the area of health impacts of air quality. 
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  • Video details
    Climate and sustainability challenges are reshaping our world, but we lack sufficiently accurate and useful models to inform decision-making that capture these issues in their full complexity. Noelle Eckley Selin will present research efforts, including her recently-launched MIT Climate Grand Challenge project, which aims to provide accurate and actionable scientific information to decision-makers to inform the most effective mitigation and adaptation strategies. One component of this Grand Challenge project is the development of a novel platform that leapfrogs existing climate decision support tools by leveraging advances in computational and data sciences to improve the accuracy of climate models, quantify their uncertainty, and addresses the trade-off between performance and computation time with attention to industry and government stakeholder needs. Another aspect will be associated “emulators” — fast-running, efficient models that are more usable by stakeholders, but that maintain the highest possible accuracy in predicting specific variables relevant to sustainability. Professor Selin will give specific examples drawn from the area of health impacts of air quality. 
Locked Interactive transcript