Pervasive Data Ethics for Computational Research - PERVADE Project Team
Channel: UCIBrenICS
Date: 2018-02-06

Recorded on Friday, February 2, 2018.

PERVADE Project Team
Panel with members

"Pervasive Data Ethics for Computational Research"

Abstract: Networked information technologies, such as the internet of things, wearable devices, ubiquitous sensing, and social sharing platforms have increased the flow of rich, but often personal, information available for computing research. The growth in the scale, scope, speed, and depth of human data research—what we call pervasive data practices—requires reconsideration of fundamental ethical assumptions. How do we quantify the risks to individuals and groups in the use of pervasive data? How do people experience the reuse of their personal data? And how should existing ethical codes be adapted and adopted for computational research? In this panel session, we will give a brief overview of recent research on pervasive data ethics, and then have an open discussion with the audience.

Bio: PERVADE Project, an NSF-funded collaboration investigating ethical concerns and practices around pervasive data research. Members of this group include:
Matthew Bietz, University of California, Irvine
Casey Fiesler, University of Colorado, Boulder
Jake Metcalf, Data & Society
Katie Shilton, University of Maryland
Jessica Vitak, University of Maryland
Michael Zimmer, University of Wisconsin, Milwaukee