Ethics, Big Data and Computing in Epidemiology and Public Health

Ethics, Big Data and Computing in Epidemiology and Public Health

Technological advancements in clinical medicine and genetic epidemiology research coupled with rapid advancements in data networks, storage, and computation at a lower cost are resulting in the growth of huge data repositories. Big Data increases concerns about data integrity, informed consent, patient privacy and confidentiality, data re-identification, and the reporting of faulty inferences. Notwithstanding the enormous gains that can be achieved, a focus on big data and computing may also shift the balance of efforts towards areas such as precision medicine more so than in areas such as the social determinants of health. This symposium will address the realities and trade-offs of big data and computing in epidemiology and public health. We are targeting an international audience of health care researchers including epidemiologists, healthcare informatics specialists, geneticists, health care providers and others who may work with, or interested to work with big data in the future.

Session Chair:
Jennifer Salerno
, McMaster University
Shalini Selvarajah, Johns Hopkins School of Medicine

Presenters:
Bartha Knoppers
, McGill University
Lisa M. Lee, Presidential Commission for the Study of Bioethical Issues
Kenneth W. Goodman, University of Miami Miller School of Medicine