PDP 2023

Special Session on Privacy and Data Protection [ The session has been WITHDRAWN ]

at the 15th International Conference on Computational Collective Intelligence (ICCCI 2023)
Budapest, Hungary, September 27-29, 2023
Conference website: http://www.iccci.pwr.edu.pl

Special Session Organizers

Prof. Agostino Cortesi
Department of Environmental Sciences, Informatics and Statistics
Università Ca’ Foscari, Venezia, Italy
E-mail: cortesi@unive.it


Prof. Pietro Ferrara
Department of Environmental Sciences, Informatics and Statistics
Università Ca’ Foscari, Venezia, Italy
E-mail: pietro.ferrara@unive.it


Prof. Nabendu Chaki
Department of Computer Science and Engineering
University of Calcutta, India
E-mail: nabendu@ieee.org


Objectives and topics

The PDP 2023 Special Session at the 14th International Conference on Computational Collective Intelligence (ICCCI 2023) is devoted to promoting international dialogue, cooperation, and knowledge sharing on privacy data protection regulations, compliance, and emerging technologies, addressing both technical, and management and juridical facets. In fact, despite the scientific work and experiences accumulated in recent years regarding privacy and data protection, there is still a long way to go. This is largely due to the lack of proper integration of different technological, legal and organizational aspects. We want to offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in privacy and data protection issues. The scope of the PDP 2023 includes, but is not limited to the following topics:
  • Modelling of data protection and privacy requirements
  • Enabling transparency: technological and organizational challenges
  • Data Protection and AI governance
  • Privacy 'by design' and 'by default' paradigms
  • Technical solutions for data portability and procedural issues
  • Technical solutions for preventing online and mobile tracking
  • Information and consent management in online environments
  • Global privacy frameworks