The increasing scope and scale of pervasive data about people has enabled fundamentally new computational research. Simultaneously, changes in scale, scope, speed, and depth of data availability require reconsideration of the ethical calculus for computational research.
I lead the Ethics & Values in Design (EViD) Lab at the UMD iSchool. I'm also active in the CASCI, IPAC and DCIC research centers. In addition to my research pursuits, I teach courses in information policy, information and technology ethics, and digital curation.
My research focuses on ethics and policy for the design of information technologies, systems, and collections.
Current Research Interests
- Social and ethical implications of emerging technologies
- Information policy
- Information ethics
- Social values and technology design
- B.A. from Oberlin College
- Master of Library and Information Science from UCLA
- Ph.D. in Information Studies from UCLA.
- Google Faculty Award
- NSF CAREER award
Computer security researchers navigate ethical dilemmas about how to use big data and shared networked resources to discover vulnerabilities; how to safely expose vulnerabilities; and how to best ensure that vulnerabilities are fixed.
Today's search engines are designed principally to help people find what they want to see. Paradoxically, the fact that search engines do this well means that there are many collections that can't be searched.
Mobile data are one of the fastest emerging forms of personal data. Ensuring the privacy and security of these data are critical challenges for the mobile device ecosystem. Mobile applications are easy to build and distribute, and can collect a large variety of sensitive personal data.
Adam Porter, Elizabeth Blake, Alexander Robert Jonas, Audrey Tetteh, Devin Ellis, Jonathan Wilkenfeld
This project will study academic and commercial software research and development (R&D) to discover factors that encourage discussion and action on ethical challenges.
Privacy and data security in mobile applications are necessary for information collection but oftentimes expensive and difficult to implement. This project seeks to study developers’ practices that encourage privacy and security in design and build tools to encourage such practices.
Computer security researchers must navigate ethical dilemmas about how to use big data and shared networked resources to discover vulnerabilities; how to safely expose these problems; and how to best ensure that critical vulnerabilities are fixed.
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.