Symposium on Big Privacy: Policy Meets Data Science

The Center for Predictive Computational Phenotyping (CPCP) and the NIH Center of Excellence for Big Data Computing is pleased to announce this symposium on the privacy of big data.

Symposium sponsored by
The Center for Predictive Computational Phenotyping (CPCP)
NIH Center of Excellence for Big Data Computing

October 15th, 2015
1:00 PM - 5:00 PM
Discovery Building on the UW-Madison Campus
DeLuca Forum

With the advent of high-throughput methods in biomedical research, the drive for precision medicine, and the advances in computational methods that foster “big data science,” many commentators have expressed concern about how to promote biomedical science while respecting people’s privacy. Biomedical research data may be subject to different privacy laws and regulations depending on the type of institution holding or using the data, the type of data, who funds the research, the state in which the research is conducted, and other factors. Biomedical researchers are generally required to protect patient and research participant privacy, while at the same time researchers are encouraged or explicitly required to share data with the scientific community. In some cases privacy protections can impede science, but in some cases data sharing can expose research participants or patients to informational risk. This half-day symposium will examine legal, policy, and technical issues at the intersection of data privacy and data science. 

Registration is mandatory for both attending the symposium and to receive webcast information.
Please register by Wednesday, October 7th.
Please use this link to register: