International Conference on Data Governance, Regulatory Compliance, and Innovative Technologies
26-30 April 2027 – Ca’ Foscari University, Venice, Italy
Download the Privacy Symposium Call for Papers PDF here
The General Data Protection Regulation (GDPR) is the starting point for the Privacy Symposium’s Call for Papers. European data protection law has influenced the development of legislation in many jurisdictions around the world, which is often recounted as a success story. However, questions remain. The original proposition was to ensure a high and consistent level of protection for personal data across the EU, while improving consistency and compliance through greater harmonisation. Was this overall objective achieved, especially in light of emerging EU data laws governing data flows, artificial intelligence, and cybersecurity? Did other jurisdictions improve compliance with their data protection and privacy legislation? What can we learn from more than 10 years of living with the GDPR? To what degree has technology supported or inhibited the adoption of good data protection and privacy practices? What can technology contribute? What have other jurisdictions learned from the EU, and what can the EU learn from them? In a time of heightened global uncertainty and increased efforts towards regulatory simplification in pursuit of innovation and competitiveness, these questions are particularly timely.
The Privacy Symposium conference at large, as well as its Scientific Paper Track, seek to provide a state-of-the-art overview of current compliance issues and ongoing debates in data protection governance and regulation in view of the ambition to promote international dialogue, cooperation and knowledge sharing on data regulation, compliance, and innovative technologies.
We are soliciting papers that present original research addressing challenges related to data protection compliance with innovative technologies around the globe. In particular, we welcome multidisciplinary work that combines legal, technical, and societal expertise. We accept research and academic papers from both senior researchers and PhD candidates, as well as industry and practitioner papers with a solid scientific foundation.
Submitted papers will undergo a thorough peer review. All submissions will receive three reviews from our multidisciplinary programme committee, unless two strong negative reviews are returned.
Top quality papers will be invited for presentation. Accepted papers will be published in the Springer conference proceedings and the Springer-Link Digital Library. They will also be indexed by leading Abstracting and Indexing (A\&I) databases like Scopus, DBLP, ISI, Google Scholar, etc. There will also be a best paper award.
Participating as an academic offers a unique opportunity to engage with leading experts, regulators, policy makers and business representatives from all over the world who also attend the Privacy Symposium conference. Participation in the conference is not financially supported and must be self-funded.
Authors who use AI-assisted technologies (including LLMs such as ChatGPT, Copilot) in the preparation of their manuscript must disclose this use in an AI Index. Disclosure must include: (1) the name of the AI tool used; (2) prompt and prompt usage; and (3) a confirmation that the author(s) have reviewed, verified, and taken full responsibility for all content. AI tools may not be listed as authors or cited as sources. AI-generated images are not permitted. AI Index is annexed to papers, but it is not included into the page count. Submissions that do not comply with this policy may be rejected.
Papers' submission timeline
- Deadline for submission of fully developed papers: October 25, 2026
- Notification of acceptance: January 19, 2027
- Final (revised) paper due: February 10, 2027
- Conference dates: April 26-30, 2027
Topics
We welcome multidisciplinary contributions bringing together legal, technical and societal expertise, including theoretical, analytical, empirical, and case studies. The term ‘data protection’ is used throughout; it is broadly equivalent to ‘data privacy’ as used in other jurisdictions. We particularly encourage submissions that fall under one of the following thematic areas.
Track 1: Data Protection Law, Governance and Regulatory Frameworks
- Multidisciplinary approaches: arbitration and proportionality in data protection
- International and comparative law in data protection
- Competition law and data protection
- Cross-border data transfers: frameworks and solutions
- Global evolution of data protection regulations
- Regulations, standards, and soft law: interactions and tensions
- Implementation of data subject rights
- Audit and certification methodologies
- Domain-specific data protection best practices (e.g., in health)
Track 2: Technology, Engineering and Innovation
- Data sovereignty
- Innovation management and data protection
- Emerging technologies and data protection compliance
- Privacy in blockchain and distributed ledger technologies
- IoT, edge computing, and cloud: data protection challenges
- Privacy-preserving mobility and connected vehicles
- Smart cities and urban data governance
- Privacy-enhancing technologies, anonymisation, and pseudonymisation
- Privacy by design and by default
- Privacy engineering
- Security by design for data protection
- Privacy-aware and compliant authentication and authorization
- Identity theft and identity usurpation
- Privacy-aware threat monitoring
- Security certification
- Data protection, innovation, and the data-driven economy
Track 3: From AI Regulation to Compliance in Practice
- AI literacy and public awareness: understanding algorithmic systems and their data implications
- AI auditing, documentation, and accountability frameworks
- Regulatory compliance with the EU AI Act and GDPR: intersections and tensions
- Algorithmic transparency, explainability, and the right to explanation
- Automated decision-making, profiling, and human oversight
- AI for data protection: machine learning in privacy policy analysis, AI-supported privacy decisions, and smart assistants
- Data protection for AI: federated learning, data altruism, consent in model training, and AI risk assessments
- Generative AI and privacy: training data, re-identification risks, and synthetic data
- Biometric data and facial recognition: legal boundaries and enforcement
- AI agents, agentic systems, and emerging privacy risks
- AI governance and ethics: frameworks, standards, and enforcement mechanisms
- AI in the public sector: surveillance, scoring systems, and fundamental rights
Track 4: Socio-economic Dimension of Data
- Data monetisation, valuation, and the economics of personal data markets
- Data protection and environmental, social, and governance (ESG) reporting
- Data protection compliance in the economy and financial sector
- The cost of compliance: economic impact of data protection regulation on businesses and public bodies
- Data as a public good: data altruism, data spaces, and collective data governance
- Consumer trust, privacy expectations, and market behaviour
- Digital inequality and the socio-economic dimensions of privacy rights
- Data protection in employment and the workplace: monitoring, profiling, and worker rights
- Health data economics: secondary use, research value, and consent frameworks
Track 5: Regulation of Space & Data Infrastructure
- Satellite communication, data flows, and regulatory jurisdiction
- Earth observation, remote sensing, and privacy implications
- Data interoperability: standards, frameworks, and cross-system integration
- Space-based data collection and GDPR applicability: territorial and legal challenges
- Emerging space actors and data governance: commercial operators and new space economies
- Space infrastructure and cybersecurity: protecting data in orbit and ground systems
- International governance of space-generated data: treaties, soft law, and regulatory gaps
- Digital twins, geospatial data, and data protection risks
Paper Submissions and Publication Guidelines
The Privacy Symposium solicits submission of original papers (unpublished), including research and academic papers, as well as industry and practitioner papers.
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.
Format and Requirements
Papers shall be in English and up to 15 pages, shorter but well-developed papers are encouraged. Authors are invited to use preferably MS Word Template available via this link.
Only PDF files will be accepted for the review process.
All submissions must be done through the EasyChair online submission system via the link below.
Patronage Opportunities
Different patronage packages are available to companies that would be interested to get visibility at the conference and can be requested by mail at vip@privacysymposium.org
Further Information
For enquiries about the call for papers, contact: cfp@privacysymposium.org
More information about the location is available on the Privacy Symposium venue information page.
For general conference questions, contact: contact@privacysymposium.org
