Katie Shilton

Katie Shilton
Katie Shilton, Associate Professor & Doctoral Program Director
(301) 405-3777

Education

 

Ph.D. in Information Studies, UCLA

MLIS, UCLA

BA, Oberlin College

Office 

4121H Hornbake Building, South Wing

Biography

Katie Shilton is an Associate Professor at College of Information Studies and leads the Ethics & Values in Design (EViD) Lab at the UMD iSchool. She is also active in the CASCI, IPAC and DCIC research centers. Her research explores ethics and policy for the design of information collections, systems and technologies. Her work has been supported by a Google Faculty Award and multiple awards from the U.S. National Science Foundation, including an NSF CAREER award. She teaches courses in information policy, information and technology ethics, and digital curation.

Research Interests

User values such as privacy, accessibility, and fairness
I
mplementation of values in information technologies
Ethical innovation: ensuring that consideration of moral questions and user values are first-order concerns during 
design of emerging technologies

Teaching

  • INST610-Information Ethics
  • Policy & Ethics for Digital Curation

Recent Publications & Products

  • Shilton, K., Burke, J.A., claffy, k.c., & Zhang, L. (In Press). Anticipating Policy and Social Implications of Named Data Networking. Communications of the ACM.

  • Shilton, K. & Anderson, S. (2016). Blended, not Bossy: Ethics Roles, Responsibilities, and Expertise in Design. Interacting With Computers. (Special issue on Co-Constructing Meaning: Ethics Matter(s) in Design Research).

  • Martin, K. & Shilton, K. (2016). Putting Mobile Application Privacy in Context: An Empirical Study of Consumer Privacy Expectations for Mobile Devices. The Information Society, 32(3).

  • Vitak, J., Shilton, K., and Ashktorab, Z. (2016). Beyond the Belmont Principles: Ethical Challenges, Practices, and Beliefs in the Online Data Research Community. Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2016), San Francisco, CA: ACM.