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Epidemic Forecasting offers the following services via its nonprofit consulting arm, the Quantified Uncertainty Research Institute (QURI):

Clinical trial design for COVID-19 vaccine designers to reduce the risk of trial failure and shorten the expected time to trial completion
Paid consulting for government, intergovernmental, and nonprofit organizations

Additionally, our team of Oxford researchers and volunteer data scientists is excited to provide decision makers in government, health care, or at international organizations with pro bono custom forecasting and modeling to help inform decision making. Due to current demand, our turnaround time for this may be significantly longer in most cases than is QURI's for paid work.

To request either a paid or pro bono consultation, please fill in the form below.

The above displayed data and predictions are results of estimation and modelling. Please contact us before using our data for major decisions. Disclaimer

This work is produced on a pro-bono, good faith basis.
While every reasonable effort has been made to ensure that the information is correct, the views expressed are accurate and represent the best available evidence, and all reasonable care has been taken in the production of modelling, no responsibility or liability is accepted for errors or omission of fact or for any opinions expressed herein, or any decisions which any party make while relying in whole or in part on this document.
Readers and users of our work are advised to form their own independent judgement with respect to any matter contained in this document.
The global knowledge base on COVID-19 is changing rapidly. Facts, opinions, projections, and estimates are subject to change without notice. Readers and users of our work are advised to avoid using modelling outputs which are not very recent when making public policy decisions.
This work is produced by staff and volunteers from a range of organisations. It is the work of the authors as individuals, not as institutions. None of the University of Oxford, the Future of Humanity Institute, Australian National University or any other organisation accept responsibility or liability for this work.