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Trust in Models and Modeling Trust: Modeling COVID-19 in Real Time

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How should modelers communicate the uncertainty inherent in their models without undermining trust? What does it mean to trust a probabilistic forecast? Do models incorporating assumptions about public behavior need to be understood and trusted by the public being modeled? Should modelers try to influence the public and decision-makers or should we be worried that such attempts might backfire and lead to loss of trust? We will explore all these questions and many more with the help of an esteemed panel of epidemiologists and public health experts. A concise and accessible primer on some of the core tensions around models, policymaking and public sentiment is available here.

This virtual event is free and open to the public. Register here to join us!