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

Sponsor

Important time points

04/28/2021 Registration open / student travel award application open
05/19/2021 Competition start (data release to registered teams)
08/18/2021 Solutions due
09/29/2021 Winners announced
10/30/2021 One day workshop

More details on meeting schedule will be updated close the the meeting date.