This text was written as part of the project Modelling of Complex Systems for Public Policy. It reviews the classical authors who jointly contributed to establish the elements of what could constitute a "science of complexity". Based on the original writings of these authors, the text discusses...

Theoretical models of the Kuznets Curve have been purely analytical with little contribution towards an understanding of the timing of the process and the presence of additional mechanisms affecting its timing. This paper proposes an agent-based version of Acemoglu and Robinson's model of the...

Complex systems' approach and methodologies emphasize interactions, diversity and dynamics. Complex systems perspectives also enable public policies to be considered comprehensively and simulated in all their multiplicity of sectors and scales, of cause and effect. This paper attempts to...

Real estate markets are subject to dynamic, ever-changing influences from location, amenities and neighborhoods; regulation, zoning and population changes; but also - macroeconomic variables, such as interest rates, inflation and economic cycles. The decision to buy or rent a durable,...

The paper exploits a simulation environment and its output indicators to compare the performance of "ex-ante" policy instruments across housing and social welfare domains. We create a progressive score to contrast six single and mixed policy instruments against a no-policy baseline. The multiple...

Public policies are not intrinsically positive or negative. Rather, policies provide varying levels of effects across different recipients. Methodologically, computational modeling enables the application of a combination of multiple influences on empirical data, thus allowing for heterogeneous...