Complex systems of interdependent agents can be found everywhere at multiple scales, from the macro level, including industries, markets, and countries, to the micro level, involving firms and individuals.

Therefore, modern organizations have to deal with a broad range of problems that present different configurations of complexity, such as:

1. diversity and heterogeneity of agents and their links,
2. interdependent structures among agents,
3. ambiguity of available information and
4. environmental dynamics.

One of the most important element of complexity is network theory, which investigates structures and dynamics of interaction between social actors. It aims at revealing the principles that make networks more robust and efficient, considering a risk of failure, possibly induced by increasing interconnectedness.

Investigating economic complexity calls for dynamic approaches. They permit to model complex system behaviors, reproducing the internal dynamics of the entire system from the bottom, focusing on its micro attributes such as the agents, their attributes, actions, goals, and the network structure connecting them.

The workshop is organized in very interactive sessions where the topics will be discussed by the invited spaekers and all the participants.

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