Social Genome: Putting Big Data to Work for Population Informatics
Hye‐Chung Kum, Ashok Kumar Krishnamurthy, Ashwin Machanavajjhala, Stanley C. Ahalt · Computer · 2014
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.