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

07/01/2024 Competition announced; registration starts

07/15/2024 Registration closed

07/15/2024 - 09/15/2024 Participating teams working period

09/15/2024 Submission due

09/15/2024 - 10/15/2024 Evaluation

10/15/2024 Results announced & Team invitation

11/09/2024 Announce Competition Winners at iDASH 2024 workshop

Workshop date: UCSF @ 11/09/2024