Computation and modelling are pivotal for the development of complex systems. From the Internet of Things to Industry 4.0, the complexity of new generations of systems has introduced several new challenges from technical and business perspectives. Enterprises are increasingly required to improve the quality of systems while reducing the costs associated with their development, operations, and maintenance. Furthermore, modern systems are required to operate and adapt to ever-evolving environments. Complex systems involve a wide range of areas, including nature, engineering, biology, economy, management, politics, and society. Economics and finances are complex domains, in which multiple components such as investors, trading venues, or intermediary firms frequently interact to generate aggregate outcomes that may be desirable or undesirable, intended or unintended. The behaviour of the underlying elements is often adaptive, and the aggregate dynamics can be highly nonlinear. The resulting complexity can therefore be difficult to measure, model, and control.

The recent financial crisis revealed how interconnections between institutions can provide feedback loops and propagation channels across the financial system, nationally and globally, spilling into the real economy. There is a great need for more research in how financial and economic systems are modelled, simulated, designed, controlled, and regulated. The techniques and hybrid approaches emerging from the ongoing efforts of the systems community can help address the challenge. Due to the big volume of data, it is quite interesting to investigate research problems such as how we are dealing with problems in social management as well as economics and the design of more scalable computational intelligence methods. Moreover, many emerging collaborative data analysis paradigms such as federated learning from distributed data are being used for real-world applications.

The aim of this Special Issue is to bring together original research and review articles addressing the existing and emerging problems in the theory and practice of computation and modelling of economic and financial management. Moreover, submissions discussing analytics in complex systems with advanced computing infrastructure are welcome. This Special Issue intends to provide an opportunity for researchers, experts, engineers, and practitioners to discuss their latest findings and solutions.

Potential topics include but are not limited to the following:

• Multi-scale fractal theory in economic and financial complex systems
• Complex network analysis in economic and financial complex systems
• Financial support for emergency rescue
• Complexity of financial systems
• Enterprise innovation and management in economic and financial complex systems
• Disaster complexity in economic and financial complex systems
• Evolution of economic and financial complex systems
• Management theory and method based on complexity science
• Data mining and evolutionary computing methods in economic and financial complex systems
• Stochastic complex economic and financial systems