Communications of the ACM
Umd-Led Project Awarded Nsf Grant to Study Big Data Ethics
The University of Maryland's four-year Pervasive Data Ethics for Computational Research (PERVADE) research project will study issues surrounding user consent, risk assessment, and regulations.
Credit: pervade.umd.edu
The University of Maryland's (UMD) Pervasive Data Ethics for Computational Research (PERVADE) project is using a U.S. National Science Foundation grant to study ethical issues related to user consent, risk assessment, and regulations.
"Whether mobile phone apps, website search engines, wearable technology, or social platforms, consumer information has become highly trackable and available," says UMD professor Katie Shilton. "This has resulted in an ethically questionable free-for-all in research and marketing."
Shilton says the PERVADE project will focus on consumers, big data researchers, commercial providers, and regulators to explore how these diverse stakeholders understand their ethical obligations and choices. It also will examine how their decisions impact data system design and use.
In addition, the team will study how people experience the reuse of their personal data, what social factors influence people's willingness to share their data, how and when consent should be given, and how consumers' concerns can be shared with data system designers and big data researchers.
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA
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