Inequality is generally perceived as a cause of concern and one of the prime roadblocks towards a sustainable future. Indeed inequality correlates with many socio-economic bads, and it’s rise has been a persistent trend in the last half century. The accumulation of empirical evidences on inequality and its correlates calls for a parallel effort to integrate this knowledge into formal models, in order to shed light on the underlying mechanisms.

The workshop aims at promoting the science of inequality by connecting empirical results and complex systems modelling approaches. It shall combine expertise from several disciplines in order to address inequality from different angles and at different scales.

The workshop will combine perspectives and insights from a broad range of disciplines (demography, economics, political science, sociology, ecology, biology and neuroscience) with complex systems modelling approaches, in order to capture relevant stylized facts, identify questions amenable to quantitative mechanistic modelling, or devise data-driven modeling approaches which may shed light on causal relations.

The workshop is supported by National Institute of Oceanography and Applied Geophysics (OGS) and Trieste International Foundation for the Progress and Freedom of Sciences (FIT) as part of the Trieste Laboratory on Quantitative Sustainability (TLQS) initiative.