COVID-19

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The Mercury Project

The Mercury Project invites letters of inquiry for research projects that address one or more of the following goals:

1) estimating the causal impacts of mis- and disinformation on online and offline outcomes in the context of the Covid-19 pandemic, including health, economic, and/or social outcomes, differential impacts across sociodemographic groups, and quantifying the global costs of those impacts;

RAPID: Flexible, Efficient, and Available Bayesian Computation for Epidemic Models

Decisions about coronavirus response are necessarily based on statistical models of prevalence, transmission risks, case fatality rate, projection of future spread of infection, and estimated effects of medical and social interventions. Much of this modeling and inference is being done using the Bayesian framework, an approach to statistics that is well suited to integration of information from different sources and accounting for uncertainty in predictions that can be input into decision analysis.

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