Sponsored by iDASH
Date: Friday, November 11, 2016 8:30 am- 5:00 pm
Location: Northwestern University, Chicago, IL
- Xiaofeng Wang, Indiana University
- Haixu Tang, Indiana University
- Bradley Malin, Vanderbilt University
- Xiaoqian Jiang, PhD, University of California, San Diego
- Shuang Wang, University of California, San Diego
- Lucila Ohno-Machado, MD, PhD, University of California, San Diego
- Abel Kho, Northwestern University
Goals of the Workshop
The growth of genome data and computational requirements overwhelm the capacity of servers. Many institutions and NIH are considering the cloud computing service as a cost-effective alternative to scale up research. Privacy and security are the major concerns when deploying cloud-based data analysis tools. In the past few years, secure computation methods have witnessed 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-arts methods that ensures rigorous data confidentiality during data analysis in a cloud environment.
The workshop is the fifth in the series of annual workshops, following the successful iDASH ’11 privacy workshop, iDASH '12 privacy workshop, iDASH '14 privacy workshop, and iDASH '15 privacy workshop.
- Registration March 31, 2016
- Submission Deadline: August 31, 2016
- Workshop: November 11, 2016