Social Genome: Putting Big Data to Work for Population Informatics
- Additional Document Info
- View All
Data-intensive research using distributed, federated, person-level datasets in near real time has the potential to transform social, behavioral, economic, and health sciences - but issues around privacy, confidentiality, access, and data integration have slowed progress in this area. When technology is properly used to manage both privacy concerns and uncertainty, big data will help move the growing field of population informatics forward. 1970-2012 IEEE.
author list (cited authors)
Kum, H., Krishnamurthy, A., Machanavajjhala, A., & Ahalt, S. C.
complete list of authors
Kum, Hye-Chung||Krishnamurthy, Ashok||Machanavajjhala, Ashwin||Ahalt, Stanley C