The COVID-19 Forecasting Benchmark aims to provide an evaluation platform to AI/ML researchers interested in epidemic forecasting. Submit your own forecasts and find out where you stand compared to other AI/ML based forecasts and expert COVID-19 forecasts.

With the help of the AI/ML community, we wish to find the answers to the following questions.

• Which epidemic forecasting methods perform the best?
• Can AI/ML based epidemic forecasting methods wihtout human intervention outperform human tuned methods?
• What methodology decisions work best and when?
• What are the appropriate ways of evaluating epidemic forecasts?

For details, please read our paper accepted at The 5th International Workshop on Health Intelligence in conjunction with The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). Here are the slides.