Decision Intelligence and Decision Support Systems: Models, Analytics, and Human-Centered Perspectives
Decision Support Systems (DSS) are undergoing a significant transformation, evolving from traditional model- and data-driven tools into integrated Decision Intelligence ecosystems that combine advanced analytics, artificial intelligence, domain knowledge, and human judgment. Modern DSS are increasingly expected not only to optimize decisions, but also to support explainability, collaboration, robustness, and ethical accountability in complex and uncertain environments.
This special session aims to bring together researchers and practitioners working on novel theoretical frameworks, methodologies, and real-world applications of Decision Support Systems that go beyond classical approaches. Emphasis is placed on human-centered and intelligent decision support, where analytical models, AI-based techniques, and decision makers interact synergistically.
The session seeks contributions that explore how DSS can enhance decision quality in dynamic, multi-criteria, multiobjective, and uncertain contexts, while remaining transparent, trustworthy, and usable in practice. By focusing on emerging paradigms such as Decision Intelligence, explainable AI, and collaborative decision making, this session offers a renewed and forward-looking perspective on DSS research and applications.
Decision Intelligence and DSS Foundations
Special Session Chair
Georgia Dede (Assistant Professor, Harokopio University of Athens)
Organizing committee
- Georgia Dede (Assistant Professor, Harokopio University of Athens)
- George Dimitrakopoulos (Professor, Vice-Rector of Research and Innovation, Harokopio University of Athens)
- Evangelia Filiopoulou (Research Associate, Harokopio University of Athens)
Expected contributions
Decision Intelligence and DSS Foundations
- Decision Intelligence concepts, architectures, and frameworks
- Advanced decision models and analytics for complex decision environments
- Integration of data, models, and human judgment in DSS
Human-Centered and Collaborative Decision Support
- Human-in-the-loop and human-augmented DSS
- Group Decision Support Systems and collaborative decision platforms
- Participatory and multi-stakeholder decision-making frameworks
Multi-criteria, Multi-objective and Robust Decision Making
- Multi-criteria decision analysis (MCDA) and Multiobjective decision making (MODM) methods
- Robust, adaptive, and scenario-based decision support
- Decision making under uncertainty, risk, and incomplete information
AI-Enabled and Explainable DSS
- AI and machine learning techniques for decision support
- Explainable and transparent DSS models
- Trust, fairness, and bias mitigation in intelligent decision systems
Evaluation, Validation and Real-World Deployment
- Performance evaluation and validation of DSS
- User-centric assessment of decision quality and usability
- DSS deployment in organizational and operational environments
Application and Case Studies
- DSS applications in healthcare, autonomous driving, energy, logistics, smart cities, industry, and public policy
- Decision support for strategic, tactical, and operational decision levels
Ethical, Social and Organizational Aspects
- Ethical and responsible decision support
- Social impact and organizational adoption of DSS
- Governance and accountability in decision-making systems
Concept note papers of relevant RnD projects are also applicable.