Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
M. Zimmer, M. Bietz, J. Matcalf, K. Shilton, J. Vitak
The growing prevalence of data-rich networked information technologies—such as the internet of things, wearable devices, ubiquitous sensing, and social sharing platforms—brings a similar increase in the flow of rich, deep, and often identifiable personal information available to computational and data science researchers. Increases in the scale, scope, speed, and depth of data-intensive computational research activities, however, require that we continuously confront the ethics of our data collection and research design processes. This playful session for interaction and engagement, organized by the PERVADE: Pervasive Data Ethics for Computational Research project ( http://pervade.umd.edu/ ), will foster open dialogue, criticisms, and debate among the iConference community about research ethics, including challenges when using data gleaned from social media platforms, network traffic, wearables devices, internet of things, and related pervasive platforms.
