Held as a part of the IEEE International Conference on Evolving and Adaptive Intelligent Systems 2026 (IEEE EAIS'26)
🗓️ 21-23 September 2026, Pisa, Italy
The Special Session aims to bring together researchers and practitioners interested in applying evolving and adaptive intelligent systems (EAIS) to real-world problems in economics, finance, and management. Modern organizations increasingly operate in environments characterized by shifting regimes, rapidly changing behavioral patterns, evolving economic conditions, regulatory transformations, and ongoing technological innovation. These domains generate continuous streams of heterogeneous, nonlinear, and time-varying data, where decision-making must often occur under uncertainty and in real time. Traditional static or batch learning models struggle to cope with these conditions, creating a need for intelligent systems capable of continuous learning, online adaptation, and long-term robustness.
The session welcomes contributions that develop or apply adaptive modeling fireworks based on fuzzy systems, neural nets architectures, streaming learning algorithms, online optimization, deep, and hybrid AI approaches. Submissions should focus on solving practical challenges faced by industry and government, such as risk assessment, fraud detection, portfolio management, credit analytics, market forecasting, operational optimization, and data-driven policy analysis.
Forecasting and real-time analytics in dynamic economic and financial environments
Adaptive risk assessment, fraud detection, and anomaly detection
Portfolio optimization, asset allocation, and trading in nonstationary markets
Credit scoring and credit risk modeling with streaming or evolving data
Dynamic pricing, demand forecasting, and revenue management
Predictive maintenance and fault detection in industrial systems
Supply chain optimization and logistics management under uncertainty
Process control, quality monitoring, and optimization in manufacturing
Customer behavior analytics and personalized decision-support systems
Real-time decision-making for digital platforms, smart services, and IoT environments
University of Sao Paulo, Brazil
leandromaciel@usp.br
University of Campinas, Brazil
ballini@unicamp.br
University of Ljubljana, Slovenia
Igor.Skrjanc@fe.uni-lj.si