An interdisciplinary course on knowledge representation, reasoning, and privacy
Due to the multidisciplinary nature of privacy, understanding how privacy issues arise and how they are resolved requires one to have the capability to understand how information from disparate domains may be linked in non-trivial, non-obvious ways by means of domain-specific knowledge and inference.
The main objective of this course is to give students this ability by providing them with strong foundations in knowledge representation, reasoning, and privacy. The course can serve as a foundation for a diverse body of students interested in privacy, allowing them to think about the subject in greater depth and to link the problems they discover with their other areas of expertise. Study topics include knowledge engineering and ontology development, and are grounded in use-cases related to privacy.
The course materials can be found here.
Marcello Balduccini (firstname.lastname@example.org)
Sarah Kushner (email@example.com)
We thank the following subject matter experts for kindly agreeing to provide their expertise and understanding of the area:
Tessa Cook, MD, PhD
Rachel Greenstadt, PhD
Edward Longazel, MHA, CHC, CHRC
Jack Medendorp, CIP
The development of the course materials was partially supported by: