Socio-economic systems are complex, adaptive, and driven by nonlinear interactions among heterogeneous agents. This minicourse provides a concise introduction to mathematical frameworks for their modeling, analysis, and control, combining tools from dynamical systems, networks, optimization, and data-driven methods.
Emphasis is placed on the interplay between theoretical structure and empirical information, including stability and sensitivity analysis, parameter estimation, and the role of feedback in shaping collective dynamics. The course also addresses decision-making and intervention strategies through optimal control perspectives, highlighting how policies can influence system behavior in constrained and uncertain environments.
Applications to domains such as markets, epidemics, and resource allocation illustrate how quantitative models can support understanding, prediction, and governance of socio-economic phenomena.
SCHEDULE:
18/05. TBA
19/05. TBA
20/05. TBA
Contacts: Giacomo Albi (giacomo.albi@univr.it)
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