PrivIno2026: Privacy Symposium |
| Website | https://privacysymposium.org |
| Submission link | https://easychair.org/conferences/?conf=privino2026 |
PrivIno2026 is a scientific track of the International Conference on Data Governance, Regulatory Compliance, and Innovative Technologies (Privacy Symposium).
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers
Papers shall be in English and up to 20 pages, shorter papers are encouraged. Authors are invited to use preferably the LNCS’ Latex template or MS Word Template available https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
Only PDF files will be accepted for the review process.
Submitted papers must not be currently under review in any other conference or journal and must not have been previously published. All submitted papers must conform to the LNCS Formatting Guidelines. Privacy Symposium conference series takes the protection of intellectual property seriously. Accordingly, all submissions will be screened for plagiarism using a plagiarism tool. By submitting your work, you agree to allow Springer to screen your work.
List of Topics
Track 1: Law and Data Protection
- Multidisciplinary approaches, arbitration, and balance in data protection;
- International law and comparative law in data protection and compliance;
- Competition law and data protection;
- Cross-border data transfer approaches and solutions;
- International evolution of data protection regulations;
- Interaction between regulations, standards, and soft law in data protection;
- Data subject rights and data portability.
Track 2: Technology and Compliance
- Emerging technologies compliance with data protection regulation;
- Privacy in blockchain and distributed ledger technology;
- Data protection compliance in the Internet of Things, edge, and cloud computing;
- Privacy-preserving mobility and connected vehicles;
- Smart cities and data protection;
- Privacy-enhancing technologies (PET), anonymisation and pseudonymisation;
- Privacy by design and by default;
- Privacy engineering;
- Data sovereignty.
Track 3: Cybersecurity and Data Protection
- Privacy-aware threat monitoring;
- Security by design for data protection;
- Privacy-aware and compliant authentication and authorization;
- Identity theft and identity usurpation.
Track 4: Data Protection in Practice
- Audit and certification methodologies;
- Domain-specific data protection best practices (e.g., in health);
- Privacy engineering in practice;
- Innovation management and data protection;
- Economic models and impact of data protection and compliance management.
Track 5: Artificial Intelligence, Privacy, and Data Protection
- AI impact on privacy and data protection;
- AI for data protection: machine learning and privacy policies, AI-supported privacy decisions, smart assistants and privacy;
- Data protection for AI: privacy-preserving federated learning, data altruism and consent in training models, data protection and AI risk assessments.
Track 6: Socio-economic Dimension of Privacy, Data Protection, and Compliance
- Data monetisation and valuation;
- Data protection and environmental, social, and governance;
- Data protection compliance, economy, and financial sector.
Track 7: Space and Data Protection
- Satellite communication and data regulation and protection;
- Earth observation and privacy;
- Data interoperability.
Committees
Program Committee
- Stefan Schiffner
- Sebastien Ziegler
- Lina Jasmontaite
Publication
PrivIno2026 proceedings will be published in Privacy Symposium: Data Protection Law International Convergence and Compliance with Innovative Technologies by Springer Nature
Venue
The conference will be held in Ca’ Foscari University, Venice, Italy on 20-24 April 2026.
Contact
All questions about submissions should be emailed to cfp@privacysymposium.org.