Challenges and New Paradigms for Decision Support Systems

Dear Colleagues,

More than two-thirds of the world economy is digitized. The amount of data available to policy makers is growing exponentially, but the difficulty of managing vast amounts of heterogeneous and complex data also makes it harder to take full advantage of the added value that this large amount of information stored in the cloud brings to decision making.

Recent developments in artificial intelligence have led to notable changes in all aspects of decision making: from the formulation of decision models to data management, including security issues or computer interfaces, artificial intelligence provides a level of access to decision support systems that is more abstract and closer to human decision-making procedures, and facilitates their application in increasingly complex and less-structured decision problems.

This Special Issue is aimed at the entire community of academics and practitioners who want to present novel works on conceptual and methodological aspects related to the integration of recent advances in artificial intelligence in the design of decision support systems, as well as works addressing the imminent challenges that these new artificial intelligence techniques create around the future development of decision support systems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Artificial intelligence techniques in decision support systems;
• Machine learning and natural language processing;
• Affective issues in decision support systems;
• Data management;
• Data security and privacy;
• Data mining and knowledge discovery;
• Large-scale information visualization;
• Design and implementation issues;
• Modeling and design of intelligent decision support systems;
• Internet-of-Things (IoT);
• Multi-attribute and multi-criteria decision making;
• Consensus, negotiation, and systemic decisions;
• Collaborative decision support systems;
• Big data analytics;
• Social network analysis for decision making;
• Human–computer interaction;
• Integration of AI techniques in the company infrastructure.

I look forward to receiving your contributions. 

Dr. Alberto Turón
Guest Editor

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• decision support systems
• artificial intelligence
• deep learning
• policy making
• human–computer interaction