SmartAIDa 2026

22-25 Jun 2026 Messina, Italy
The 2nd International Workshop on
Smart AI Models & Data Sharing and Monetisation.

About SmartAIDa

The 2nd International Workshop on Smart AI Models and Data Sharing and Monetisation (SmartAIDa) aims to address an increasing demand for effective frameworks and technologies that enable the sharing, monetisation, and governance of AI models and datasets. The rapid expansion and extended use of artificial intelligence is twofold, on one hand it promotes the development of new services to benefit people’s lives and generate profit for industries that adopt AI, in the other hand there is yet limitations in AI technologies and gaps that avoid advancing the AI deployment in some industries, this makes AI becoming a cornerstone of innovation across industries, leveraging its full potential requires robust infrastructures, interoperability, and a focus on trust, security, and value creation.

The Workshop focuses on:

AI Modelling and Dataset Sharing: Developing frameworks, platforms, dataspaces, and tools to facilitate secure, ethical, and interoperable sharing of AI models and datasets.

Data Monetisation: Strategies for deriving economic value from datasets and AI models while ensuring compliance with data governance standards.

Trust and Governance: Addressing trust, accountability, and ethical challenges in data-sharing industries, dataspaces and ecosystems.

Technology Infrastructure: Leveraging cutting-edge technologies such as blockchain, edge computing, and IoT to support secure AI model sharing, cybersecurity techniques and data exchange.

Applications and Use Cases: Exploring practical implementations in areas like healthcare, transportation, climate change and sustainability, industrial applications, and finance.

SmartAIDa workshop is under the umbrella of IEEE SMARTCOMP 2026 (Messina, Italy, 22–25 June 2026).



Call for Papers

The workshop invites high-quality submissions addressing the challenges, opportunities, and innovations in sharing AI models and datasets and maximising the value derived from data through monetisation and trust and secure frameworks.

We welcome original contributions that include,
but are not limited to:

  • AI models and dataset sharing
  • Standards and protocols for AI model interoperability.
  • Platforms and tools for dataset and model sharing in decentralised environments.
  • Decentralized governance and AI marketplaces
  • AI architecture and data spaces infrastructure
  • Smart Contracts for Automated AI Licensing
  • Ownership, attribution, and IP management for shared AI assets.
  • Technical and ethical challenges in model reuse and adaptation.
  • Valuation models for datasets and AI models based on quality and usage.
  • Incentive mechanisms for encouraging data and model sharing.
  • Ethical AI and explainable methods, models and techniques
  • Use cases demonstrating successful data and model monetisation strategies.
  • Privacy-preserving techniques for shared data and models (e.g., differential privacy,
    homomorphic encryption).
  • Cybersecurity infrastructures and frameworks to promote trustworthy AI models and data sharing
  • Cross-Platform Identity Systems for AI Agents
  • Persistent identity and reputation systems for AI models across industries.
  • AI data provenance and cryptographic verification
  • Reputation systems for trustworthy AI data exchange
  • Ensuring fairness and reducing bias in shared datasets and models.
  • Role of cloud, edge, and IoT systems in AI sharing ecosystems.
  • Data spaces and cross-domain AI data models
  • Federated data exchange architectures and models
  • Applications of shared AI models in healthcare, transportation, climate change and
    sustainability, industrial applications, finance, and other domains.
  • Case studies demonstrating the economic impact of shared data and the use of AI models.
  • Tokenized AI economies and dynamic pricing models
  • Practical challenges and solutions in deploying shared AI systems in production environments.
  • Fair Revenue-Sharing Protocols and AI-as-a-Service Marketplace Optimization
  • Economic and policy perspectives on data sharing and AI model monetisation.
  • Legal frameworks and regulations impacting AI model sharing.
  • Interdisciplinary approaches to addressing technical, ethical, and economic challenges

Sessions and Expected Contributions

SmartAIDa welcomes contributions spanning governance, trust, monetisation, interoperability, privacy, security, evaluation, sustainability, and applications. The following session themes illustrate the scope of expected and potential contributions.

Governance & Trust Frameworks

  • Decentralised governance models for AI marketplaces (DAO-inspired access, pricing, dispute resolution)
  • Auditable AI and data spaces with end-to-end provenance using cryptographic verification
  • Regulatory-aware AI sharing platforms enforcing compliance across jurisdictions
  • Ethical licensing frameworks for AI assets embedding constraints (bias, misuse prevention)
  • AI agents for marketplace governance (fairness, fraud, compliance monitoring)

Monetisation & Incentive Mechanisms

  • Tokenised economies for AI model exchange (microtransactions and contributor rewards)
  • Dynamic pricing models for AI assets (demand, usage metrics, performance benchmarks)
  • Fair revenue-sharing protocols for dataset contributors
  • AI-as-a-Service marketplace optimisation (auction and matching algorithms)
  • Smart contracts for automated AI licensing (self-executing usage rights)

Interoperability & Infrastructure

  • Standardised interoperability protocols for AI models (portability and composability)
  • Federated data exchange architectures (sharing without centralising ownership)
  • Composable AI pipelines as modular assets (packaging and trading reusable components)
  • Cross-platform identity systems for AI agents (persistent identity and reputation)
  • Benchmarking frameworks for AI marketplace performance (liquidity, fairness, accessibility)

Privacy, Security & Ownership

  • Privacy-preserving monetisation of sensitive datasets (DP, enclaves, homomorphic encryption)
  • Intellectual property protection for AI models (watermarking, fingerprinting)
  • Secure multi-party computation for collaborative AI training
  • Reputation systems for trustworthy AI exchange (quality and reliability scoring)
  • Quality assessment frameworks (robustness, reproducibility, evaluation pipelines)

Evaluation, Sustainability & Applications

  • Socio-technical models of AI ecosystems (incentives, governance, competition/collaboration)
  • Multi-dimensional benchmarking (economic efficiency, fairness, scalability, innovation)
  • Dataset value estimation metrics (economic and predictive value)
  • Trustworthiness scoring systems (bias, transparency, security)
  • Sustainability metrics for AI infrastructure (energy and environmental impact)
  • Evaluation and validation of AI methods in healthcare, transportation, climate & sustainability, industrial applications, finance, and more

For Authors

Authors are invited to submit original and unpublished research papers to the SmartAIDa workshop. Submissions should present novel contributions and should not be under consideration for publication in any other conference or journal. The workshop seeks state-of-the-art research and advancements in the area of Smart AI Models & Data Sharing and Monetisation.

Important Days

Paper submission deadline: March 9, 2026
Notification of acceptance: April 29, 2026
Camera-ready deadline: Early May 2026 (main conference deadline expected to be extended)

Template and Format

Paper submissions should be no longer than 6 pages (10pt font, 2-column format), including text, figures, and tables using the IEEE conference template.

Submission

Papers must be submitted electronically as PDF files through the SMARTCOMP 2026 workshop submission system (link to be announced).

If you do not have an EDAS account, please, register.

Authors of invited papers must submit their paper(s) using the EDAS dedicated online submission application.

All submitted papers will be subject to single blind peer reviews by Technical Program Committee members.

For further instructions on how to prepare your manuscript, please consult the IEEE Author Digital Toolbox.

Camera ready

The camera ready instructions TBD

For the accepted papers to be included in the proceedings, the camera-ready version must be submitted using the recommended format. Maximum workshop paper lenght is 6 pages and no extra page is allowed.

The final PDF has to conform to the requirements for publishing on IEEE Xplore. The submission link will take you to the verification tools provided by IEEE.

Publication

All accepted papers presented in the workshop will be published in the proceedings of the conference and published in the IEEE Xplore Digital Library and Scopus indexed.

Registration

Each accepted workshop paper requires a full SMARTCOMP registration (registration for workshops only is not available) Accepted papers must be presented in person by at least one author with a corresponding full registration. Failure to comply with this requirement will result in the exclusion of the paper from the final proceedings, the conference program, and from the IEEE Digital Library.

Keynote Speaker

Committees

The event is organised by a dedicated committee of experts and professionals in the field. The organisers are committed to fostering collaboration, sharing insights, and driving innovation, supported by an international Program Committee.

Organisers

Dr. Andrea Visentin
Associate Professor
University College Cork
Read more →
Dr Martin Serrano
Senior Research Fellow
University of Galway
Read more →
Prof. Edward Curry
Established Professor of Data Science
University of Galway
Read more →

Schedule

The detailed workshop programme will be published after paper acceptance.

Venue

The workshop will take place in conjunction with IEEE SMARTCOMP 2026 at:
Department of Engineering, University of Messina
Messina, Italy

Organisers & Partners