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

Tentative timeline

06/05/2023 Website/registration ready & announcement sent

06/15/2023 Close registration, Release competition tasks, datasets, and guidelines

06/15/2023 - 08/31/2023 Participating teams working period

08/31/2023 Submission due

09/01/2023 - 09/21/2023 Evaluation

09/21/2023 Results announced & Team invitation

09/21/2023 Invited teams submit final slides/recording

10/28/2023 Announce competition winners and awards ceremony

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