Call for Papers: Real-World Decision-Making with Hybrid Artificial Intelligence, Soft Computing, and Operations Research Methods

As organizations increasingly rely on data-driven strategies, solving complex decision-making problems requires approaches that combine the strengths of Artificial Intelligence (AI), Soft Computing, and Operations Research (OR). Researchers working in these interdisciplinary areas now have an opportunity to contribute to a special collection dedicated to advancing intelligent decision support for real-world applications.

About the Collection

This special collection welcomes extended papers from the Decision Science Summit (DSA ISC 2026), held at the University of Madrid, Spain, on 18–19 June 2026. Importantly, submissions are not limited to conference participants—the collection is open to all researchers whose work aligns with its scope.

Submission Deadline: 31 October 2026

Scope of the Collection

The collection focuses on innovative methods that integrate AI, Soft Computing, and Operations Research to address complex decision-making under uncertainty. Researchers are encouraged to present both methodological advances and practical implementations that improve decision quality across diverse application domains.

Topics of interest include:

• Hybrid AI and optimization models
• Machine learning–driven decision support
• Simulation-based optimization
• Soft computing techniques
• Uncertainty-aware decision-making
• Intelligent optimization algorithms
• Multi-criteria decision analysis
• Decision support systems

Application Areas

The collection welcomes contributions addressing challenges in sectors such as:

• Healthcare
• Transportation
• Logistics and supply chain management
• Manufacturing
• Marketing and business analytics
• Telecommunications
• Smart cities
• Defense and security

Source: https://link.springer.com/collections/giibhebhjf