Issue No. 01 - Jan. (2014 vol. 47)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2013.405
Hye-Chung Kum , Texas A&M Health Science Center
Ashok Krishnamurthy , University of North Carolina at Chapel Hill
Ashwin Machanavajjhala , Duke University
Stanley C. Ahalt , University of North Carolina at Chapel Hill
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.
Bioinformatics, Genomics, Sociology, Statistics, Informatics, Information management, Data handling, Big data, Privacy, Knowledge based systems
H. Kum, A. Krishnamurthy, A. Machanavajjhala and S. C. Ahalt, "Social Genome: Putting Big Data to Work for Population Informatics," in Computer, vol. 47, no. 1, pp. 56-63, 2014.