Complexity in Economics & Finance

Over the past 15 years, statistical physics and complex systems science have played a key role in understanding and modeling economic and financial systems – through a fruitful interplay of basic research and policy applications. Much effort has been put into studying how the complex patterns of interconnections among economic and financial entities allow local failures to spread up to the full system scale, as well as in devising strategies to improve systemic resilience and stability. Leveraging on these interactions, several methods have been produced to understand and predict the patterns of economic development and innovation, from the macroscopic scale of countries to the microscopic level of individual firms. These approaches have been developed by exploiting an increasing amount of available data on human activities, e.g., on production of goods and knowledge, demographic and labor statistics, financial transactions and market trends. Considerable attention has been also devoted to understanding the impact of rapidly emerging digital technologies, as well as to fostering the societal aim of attaining a more equal, sustainable and green growth. 

The Complexity in Economics & Finance workshop, a satellite meeting of StatPhys29 (the international conference on Statistical Physics), aims at bringing together researchers active in the study of complex systems in economics and finance to discuss state-of-the-art work in the field, share knowledge across disciplines, and create opportunities for novel and fruitful collaborations. 

The satellite is organised as a joint event of the #FinEcoNets and Econophysics Colloquium workshop series.