Call for Forum Papers

The Baltic DB&IS 2026 Forum welcomes discussions of the novel research results in the field of digital business and intelligent systems. The forum aims to attract experience reports, project overviews, or preliminary research ideas.

This track will provide an opportunity for researchers and practitioners to

  • present their work in progress,
  • interact with conference participants, and
  • obtain feedback from colleagues on the ongoing research.

Submissions must conform to the CEURART 1-column. Information about the CEURART format can be found at https://ceur-ws.org/HOWTOSUBMIT.html (Scroll to section: “CEURART style files for papers”).

Submit your papers through the Easychair system

Important Dates

  • Forum paper submission: 29 March 2026
  • Notification to authors: 27 April 2026
  • Camera-ready papers: 20 May 2026
  • Conference: 29 June - 1 July, 2026

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