Call for Papers

The 17th International Baltic Conference on Digital Business and Intelligent Systems welcomes cutting-edge research that advances the foundations and future of digital business, intelligent systems, and data-driven innovation. As organisations navigate accelerating digital transformation—spanning conceptual modelling, business process optimisation, intelligent platforms, trustworthy and human-centred computing, data science, simulation, semantic technologies, and emerging paradigms such as digital twins, blockchain, CPS, and quantum computing—the conference provides a vibrant forum for sharing breakthroughs, best practices, and applied insights. We invite contributions that deepen scientific understanding, demonstrate impactful real-world applications, or critically examine the ethical, organisational, and socio-technical dimensions of digitalisation.

Join us in shaping the next generation of digital solutions powering business, society, and sustainable innovation.

Topics of interest include but are not limited to

  • Models, Methods, and Tools
    • Conceptual Modelling, Languages and Design
    • Business and Value Models
    • Business Analysis and Requirements Engineering
    • Business Process Modelling, Optimisation and Automation
    • Simulation and Digital Twins
    • Information Systems Engineering
  • Knowledge and Knowledge Technologies
    • Machine Learning (ML) and Artificial Intelligence (AI) for Data-driven Systems
    • Information Retrieval (IR) and Text Analytics
    • Knowledge Graphs, Semantic Web, and Semantic Technologies
    • Natural Language Processing (NLP)
    • Cognitive Computing and Decision-Support Systems
    • Advanced Knowledge Management (knowledge representation, including ontologies and reasoning)
    • Engineering Education, including Computational Thinking for STEM
  • Approaches for Digitalisation
    • Strategies and Frameworks for Digital Transformation
    • Security Risk Management and Fraud Detection
    • Uncertainty Management
    • Agile, Agile at Scale, and DevOps for system development
    • Measuring and Assessing Digital Transformation Success
  • Intelligent Systems and Applications
    • Trustworthy and Human-Centred Computing
    • Artificial Agents and Human-Computer Interaction (HCI)
    • Privacy in Intelligent Systems
    • Generative AI and Large Language Models (LLMs)
    • Intelligent Platforms and Infrastructures for Digital Business
    • Digitalisation of critical domains (education, healthcare, agriculture, smart cities, e-governance, etc.)
  • Data, Data Science, and Computing
    • Data Mining, Analytics, and Storage, including Data Architecture
    • Big Data, Temporal Data, Geospatial Data Management
    • Business Intelligence and Information Visualisation
    • Data-Driven Systems
    • Computational Modelling and Simulation
    • Knowledge-Based Computing
  • Emerging Technologies and Innovation
    • Blockchain and Distributed Ledger Technologies (DLT) for Business Applications
    • Cyber-Physical Systems (CPS) and Internet of Things (IoT)
    • Quantum and Post-Quantum Computing for Business Applications
    • Augmented, Virtual and Mixed Reality (AR/VR/MR) for Business and Decision Support
    • Sustainability, Green IT and Responsible Innovation
  • Practice, Ethics, and Case Studies
    • Best Practice Reports in Implementing Digital Business and Intelligent Systems
    • Digitalisation Challenges in Enterprise Ecosystems
    • Responsible AI and Ethical AI
    • Privacy, Ethics, Trust and Transparency in Intelligent Systems
    • Case Studies in Digital Transformation and Intelligent Systems

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