Bringing together interdisciplinary faculty from the iSchool, economically disadvantaged/low socioeconomic status (SES) families, and public library partners may help minimize privacy and security challenges that librarians face and risks that low-SES families face using internet and communication technologies (ICTs).

Mobile devices are efficient and convenient, but also increase the potential for more pervasive forms of digitally mediated surveillance by media companies, marketers, governments, employers, and Internet Service Providers. This project evaluates mobile users’ mental models of privacy.

Increasingly pervasive data about people enables fundamentally new computational research. Simultaneously, changes in scale, scope, speed, and depth of data availability require reconsideration of ethics for computational research. Much work addressing ethics for big and pervasive data proceeds from first principles, applying traditional tenets of research ethics to computational data research.