Modern economies are complex systems, which require sophisticated techniques to be studied, understood and regulated. This special issue aims to raise a rigorous scientific debate on the many interconnections between economic complexity and the tools offered by modern complexity science.
We encourage submissions from all fields of complexity science, using network, computational and econometric and statistical approaches. Papers with relevant policy implications are particularly welcome.
Suitable topics include, but are not limited to, the following:
- Complexity theory and organisations
- Out-of-equilibrium dynamics
- Network analysis and Bayesian networks
- Simulation and agent-based modelling
- Robustness and sensitivity analysis
- Risk analysis
- Econophysics
- Nonlinear and chaotic economic systems
- Game-theory models
- Structural econometric and causal models of complex systems
- Time series analysis and forecasting techniques
- Complexity and big data
- Policy analysis in complex socio-economic systems
- Computational modelling in economics and sociology
- Software development and implementation
- Models of complex networks
- Structural network properties and analysis
- Complex networks and epidemics
- Methodological problems in complex network studies
- Multilayer networks
- Complex networks in nature
Important Dates
Submission of manuscripts: 15 January, 2016
Notification to authors: February 10, 2016
Final versions due: 15 May, 2016
Notification to authors: February 10, 2016
Final versions due: 15 May, 2016
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