The growth of genome data and computational requirements overwhelm the capacity of servers. Many institutions and the NIH are considering cloud computing services as a cost-effective alternative to scale up research. Privacy and security are major concerns when deploying cloud-based data analysis tools. In the past few years, secure computation methods have had significant performance improvement but it is still not clear if they are applicable to biomedical challenges involving big data. The goal of this challenge is to evaluate the performance of state-of-the-art methods that ensure rigorous data confidentiality during data analyses in a cloud environment.

​Interested participants please first register through our registration page. Further announcement on the competition datasets will be sent to registered teams. Workshop registration will be added later.

Timeline

Important time points

08/05/2020 Registration open / student travel award application open
08/15/2020 Competition start (data release to registered teams)
10/31/2020 Solutions due
12/01/2020 Winners announced
12/07/2020 One day workshop

Virtual meeting this year

More details will be updated close the the meeting date