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Publication details
Publisher: Springer
Place: Berlin
Year: 2019
Series: Philosophy & Technology
Full citation:
Brent Mittelstadt (ed), The ethics of biomedical "Big Data" analytics, Philosophy & Technology 32 (1), 2019.
The ethics of biomedical "Big Data" analytics
Contents
"My fitbit thinks I can do better!"
do health promoting wearable technologies support personal autonomy?
John Owens, Alan Cribb
23-38
Between minimal and greater than minimal risk
how research participants and oncologists assess data-sharing and the risk of re-identification in genomic research
Sebastian Schleidgen, Alma Husedzinovic, Dominik Ose, Christoph Schickhardt, Christof von Kalle, Eva C. Winkler
39-55
Big data analytics, infectious diseases and associated ethical impacts
Chiara Garattini, Jade Raffle, Felicity Sartain, Zisis Kozlakidis
69-85
Accessing online data for youth mental health research
meeting the ethical challenges
Elvira Perez Vallejos, Ansgar Koene, Daniel Hunt, Christopher Woodard, Lachlan Urquhart, Aislinn Bergin, Ramona Statache
87-110
Trust and justice in big data analytics
bringing the philosophical literature on trust to bear on the ethics of consent
111-134
Doing away with the agential bias
agency and patiency in health monitoring applications
Nils-Frederic Wagner
135-154
The challenge of the digital and the future archive
through the lens of the national archives uk
Eirini Goudarouli, Anna Sexton, John Sheridan
173-183