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:

07/25/2025	Competition announced; registration starts
08/08/2025	Registration closed
08/08/2025 - 09/26/2025 08/08/2025 - 10/03/2025	Participating teams working period
09/26/2025 10/03/2025	Submission due
09/26/2025 - 10/24/2025 10/03/2025 - 10/24/2025	Evaluation
10/24/2025	Results announced & Team invitation
11/16/2025	Announce Competition Winners at iDASH 2025 workshop
11/16/2025	Workshop date: Emory