Ethics & Disclaimer
We provide a platform that allows contributors to use publicly available data on COVID-19 outbreaks in different countries and share their predictions about the further evolution of COVID-19 case numbers. Results will be shared publicly and accessible to health officials if required. Our organization committee and advisory board consists of active researchers from different countries to guarantee the timely dissemination of findings that result from this project.
The data displayed in the section "Data" are provided by the third party indicated as the data source. ETH Zurich did not create these datasets, and as such cannot vouch for their accuracy, or guarantee that it is the most recent data available from the data provider. For many or all of the data, the data are by their nature approximate and will contain some inaccuracies or errors. The names of countries and other territories shown in the tool may differ from those in the original data. The data displayed in the predictions dashboard are provided either by the participants of this datathon or by baseline solutions. The baseline solutions are not representing reliable predictions and can only be used for easier prototyping of novel prediction models. The main purpose of this datathon is to accelerate scientific innovation and insights in epidemic modeling and predictions of COVID-19 by students, academics, and industry (see our mission statement).
Participants should not disseminate or discuss their results as reliable predictions to the public prior to validations from domain experts. Scientific validity must be ensured and responsible communication strategies applied.
ETH Zurich (including partner institutions, organizing and advisory comittee) expressly disclaims the accuracy, adequacy, and completeness of any data or predictions and shall not be liable for any errors, omissions or other defects in, delays or interruptions in such data or prediction, or for any actions taken in reliance thereon. Neither ETH Zurich nor any of its members and collaborators will be liable for any damages relating to your use of the data provided herein.