TwinShip Marks 18 Months of Progress at its 3rd General Assembly in Vaasa, Finland!
| Today, 8-9 th September 2026, the TwinShip Horizon Europe project consortium gathered for its 3rd General Assembly (GA). 🏭 The program started at the Wärtsilä Marine Sustainable Technology Hub, Vaasa, and visit to the Wärtsilä facility, followed by technical discussions and activities onboard the Wasaline ferry, including a visit to its engine observation room providing an excellent setting for connecting our research and digital developments with real-world maritime operations. 🤝 The TwinShip consortium is developing an open-source digital platform powered by maritime data, advanced AI/ML, and Digital Twin (DT) technologies. 📊 The General Assembly provides an important opportunity to review our achievements, align ongoing technical developments, and coordinate the next phase of the project. Key topics discussed during the meeting include: 🔹 Overall TwinShip project progress, completed activities, and future work 🔹 Expansion of the Futuristic Vessel concept, including WAP technology 🔹 Knowledge Graph (KG) development and integration 🔹 Communication and integration with the External platforms 🔹 Advanced data clustering, regression analysis, and categorization 🔹 Development of Digital Twin models for the TwinShip pilot vessels 🔹 Enhancement of the Data Quality Governance Strategy and data pipelines 🔹 Further development and deployment of the VesselAI onboard and onshore simulation environment 🔹 Route optimization as a current vessel Decision Support System (DSS) application 🔹 Life Cycle Cost Analysis (LCCA) and Environmental Impact Assessment (EIA) as future DSS applications 🌊 Through close collaboration between research and industry, TwinShip continues to advance Digital Twin-enabled decision support solutions for smarter, safer, more energy-efficient, and sustainable shipping. |
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VesselAI Platform Workshop – Advancing the Digital Foundation for Smarter Shipping at Wärtsilä Sustainable Technology Hub, Vaasa, Finland.
| 🚢 We are pleased to bring together our partners for the VesselAI Platform Workshop, focusing on the continued development, integration, and security of the VesselAI advanced digital platform. 💻 The workshop provides an important opportunity to review current progress, align technical activities, and coordinate the next steps toward a robust, secure, and scalable digital platform for advanced maritime applications. 🔹 VesselAI Advanced Digital Platform Enhancement & Data Collection 🔹 Data Pipeline Development & Progress 🔹 Security Features of the VesselAI Platform & Future Work 🔹 Platform Security Evaluation 🔐 Particular attention will be given to data pipeline development, platform enhancement, cybersecurity, and security evaluation, ensuring that the VesselAI platform can provide a trustworthy digital foundation for future data-driven and AI-enabled maritime solutions. 🤝 The workshop also strengthens collaboration among technical partners, supports effective resource coordination, and helps ensure that the different platform components evolve toward a well-integrated solution. Looking forward to productive discussions, knowledge exchange, and another important step in advancing the VesselAI platform for the digital transformation of the maritime sector! 🚢⚓💻 |
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TwinShip was presented at SMM Hamburg 2026
| 🚢 TwinShip Consortium Project, Advancing Digital Twins for Greener and Smarter Shipping was presented at SMM Hamburg by Anders Öster and Alexander Ozersky (Wärtsilä Marine), Konstantinos Voutzoulidis (American Bureau of Shipping (ABS), and Ruihua LU (Stena Line and Stena Bulk). The TwinShip Horizon Europe project is developing an integrated Digital Twin (DT) framework that combines real-time vessel data, physics-based models, domain knowledge, and AI-driven decision support to improve ship efficiency, safety, and environmental performance. The key takeaways: 🌊 Key capabilities include weather routing and voyage optimization, retrofit analysis, life-cycle cost and environmental impact assessment, what-if simulations, emissions budgeting, and advanced data/AI services. 🔗 Building on the VesselAI platform, TwinShip is also progressing toward integration with commercial fleet-management and onboard navigation solutions, enabling digital models and operational data to support real-world voyage planning and fleet operations. ⚓ Through pilot demonstrations, data-quality assurance, validation methodologies, and industry collaboration, TwinShip aims to provide practical digital pathways toward the decarbonization and digitalization of shipping. |
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TwinShip Consortium Podcast 1 with Spiros Mouzakitis
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🚢 TwinShip: Turning Maritime Data into Trustworthy Decisions with AI & Digital Twins Shipping is one of the foundations of the global economy 🌍 — but the industry is now facing a major transformation: becoming cleaner, smarter and more efficient while maintaining the highest levels of safety and reliability. In a recent TwinShip interview, Dr. Spiros Mouzakitis from the Institute of Communication and Computer Systems (ICCS) discussed how Digital Twins, Artificial Intelligence, Machine Learning and secure data platforms can support this transformation. 💡 One important message stood out: 👉 “More data doesn’t necessarily mean better decisions.” Reliable digitalisation depends not only on collecting large volumes of data, but also on ensuring that the data is accurate, contextualised, secure and trustworthy. 🔹 Digital Twins can create virtual representations of vessels and their systems, allowing operators to test scenarios, evaluate performance and investigate future operational conditions with lower cost and risk. 🔹 Machine Learning & AI can identify patterns in vessel data and support predictions related to vessel behaviour, performance, fuel consumption and operational efficiency. 🔹 Open-source platforms can accelerate maritime innovation by enabling collaboration while still protecting companies’ proprietary data, models and intellectual property. 🔐 🔹 Explainability and trustworthiness are essential. In safety-critical industries such as shipping, AI must do more than provide an answer — users must understand the uncertainty, reliability and reasoning behind the recommendation. |
⚠️ And when it comes to Generative AI and Large Language Models, the message is equally important: We should not follow the hype blindly. Instead, the maritime sector should gradually introduce AI into appropriate applications, carefully assess risks and benefits, and focus on developing Trustworthy AI. 🤝 TwinShip is bringing together shipowners, technology providers, researchers, software developers and classification experts to bridge the gap between research and real maritime operations. 🌱 The ultimate objective is clear: provide evidence-based and trustworthy digital decision support that can help accelerate shipping’s digital and green transition. 🚢 Better data. Better models. Better decisions. A smarter and greener future for shipping.
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TwinShip Supported the 7th Data Science & AI Summer School!
| The TwinShip Horizon Europe project was proud to support the 7th Data Science and AI Summer School, organised by DataPACT, held in Predeal, Romania, from 18–26 July 2026. The event brought together students, researchers, and experts to exchange knowledge and explore the latest developments in Data Science, Artificial Intelligence, and data-driven innovation. Organised by the Bucharest Business School (BBS @ ASE), GATE Institute, and the European projects DataPACT project, INTEND, and CauseFinder: Causality in the Era of Big Data and AI, the summer school featured an engaging combination of lectures, expert discussions, and hands-on sessions. Through initiatives like this, TwinShip Consortium is pleased to contribute to strengthening knowledge exchange, skills development, and collaboration across the European research and innovation community. 🌍🤝 |
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