The Curious Case of Usable Privacy

Simone Fischer-Hübner has been a Full Professor at Karlstad University since June 2000, where she is the head of the Privacy & Security (PriSec) research group. She received a Diploma Degree in Computer Science with a minor in Law (1988) and Ph.D. (1992) and Habilitation (1999) degrees in Computer Science from Hamburg University. She was a Guest Professor at Copenhagen Business School from 1994-1995 and at Stockholm University and the Royal Institute of Technology from 1998-1999. Moreover, she was awarded with an Honorary Doctorate by Chalmers University of Technology in 2021 and has since 2022 also been a guest professor at Chalmers University of Technology.She has been conducting research in privacy, cyber security and privacy-enhancing technologies for more than 30 years. She is the Swedish representative and vice chair of IFIP (International Federation for Information Processing) TC 11 (Security and Privacy Protection), a member of the Cybersecurity Council of the Swedish Civil Contingency Agency (MSB), a board member of the Swedish Data Protection Forum (Forum för Dataskydd), and a member of the board for the Privacy Enhancing Technology Symposia (PETS). She has been partner in several national and European cybersecurity and privacy-related research projects and was the scientific coordinator of the EU H2020 Marie Sklodowska-Curie Marie Curie ITN project Privacy & Us (Privacy & Usability).
Farzaneh Karegar obtained her Ph.D. degree in December 2020 from Karlstad University, where she currently works as an assistant professor. During her Ph.D. program and postdoctoral research, she designed, implemented, and evaluated several usable tools and solutions to empower users to take control of their data and make informed decisions. She has published several papers in prestigious journals and conferences for which she received two best paper awards. Her research interests include, but are not limited to, usable privacy and consent, legal and societal aspects of information privacy, privacy-enhancing tools, and algorithmic transparency.