Responsible DS + AI Speaker Series: Katie Shilton, University of Innsbruck
Katie Shilton, associate professor in the College of Information Studies at the University of Maryland, College Park, will present "Trustworthiness in social data science: Excavating awareness and power."
Katie Shilton is an associate professor in the College of Information Studies at the University of Maryland, College Park, and leads the Ethics & Values in Design (EViD) Lab. Her research explores ethics and policy for the design of information technologies. She is the PI of the PERVADE project, a multi-campus collaboration focused on big data research ethics. Other projects include developing privacy-sensitive search for email collections; analyzing ethical cultures in computer security research; and building tools to facilitate ethics discussions in mobile application development.
- Shilton, K., Moss, E., Gilbert, S. A., Bietz, M. J., Fiesler, C., Metcalf, J., Vitak, J., & Zimmer, M. (2021). Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. Big Data & Society, 8(2), 20539517211040760.
- Vitak, J., Shilton, K., & 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). 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2016), San Francisco, CA.
- Gilbert, S., Vitak, J., & Shilton, K. (2021). Measuring Americans’ Comfort With Research Uses of Their Social Media Data. Social Media + Society, 7(3), 1–13.
The Responsible Data Science and AI Speaker Series discusses topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays, 9-10 am Central Time, on Zoom. This series is organized by Associate Professor Jana Diesner and supported by the Center for Informatics Research in Science and Scholarship (CIRSS) and the School of Information Sciences at the University of Illinois Urbana-Champaign.
This event is sponsored by Center for Informatics Research in Science and Scholarship