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
**Important Dates:**
Submission of manuscripts to conference: 1st March 2026
Notification of acceptance: 20th April 2026
Camera-ready version due: 1st May 2026
Conference: 28 June – 1 July, 2026
**Submission Guidelines:**
All papers must be submitted in PDF format and comply with the following guidelines:
Full research papers (14-16 pages) present theoretical, methodological, or conceptual solutions, empirical studies, or new research positions and approaches. Submissions must conform to Springer LNCS format and should not exceed 16 pages, including all text, figures, references, and appendices. See the guidelines here (https://www.springer.com/comp/lncs/authors.html).
**Detailed Submission Guidelines:** https://dbis2026.cs.ut.ee/Main/SubmissionGuidelines
**Submit Paper Here:** https://easychair.org/my2/conference?conf=balticdbis2026