Workshop Overview

Within the EU-funded TwinODIS project, this 2-day workshop brings together researchers and practitioners working at the frontier of Large-Scale Intelligent Systems: systems that ingest, process, and reason over massive heterogeneous data streams to produce actionable knowledge for high-stakes decision-making.

Across four thematic tracks — Energy, Maritime, Smart Water Networks, and Finance — invited keynotes and research talks will present recent advances in scalable data infrastructures, learning at scale, knowledge representation, and decision support.

The workshop is intentionally cross-domain, aiming to highlight common challenges and reusable methods across critical sectors, including streaming data pipelines, sensor heterogeneity, real-time inference, knowledge graphs, uncertainty quantification, digital twins, and human-in-the-loop oversight.

From Data to Knowledge

• Acquisition and integration of large-scale heterogeneous data.
• Data quality, cleaning, and curation for trustworthy models.
• Scalable machine learning, deep learning, and time-series modelling.
• Knowledge representation, ontologies, and knowledge graphs.
• Real-time decision support, digital twins, and human-in-the-loop oversight.
• Explainability, governance, and trustworthiness in safety-critical settings.

Who Should Attend

The workshop is open to researchers, PhD students, domain experts, engineers, industry practitioners, and policy professionals interested in AI, data science, machine learning, signal processing, operations research, and the deployment of intelligent systems in critical infrastructures and regulated markets.

Organised within the EU-funded TwinODIS project, with the participation of FORTH, Université Paris Cité, Erasmus University Rotterdam, and the European Research Executive Agency.