Grade HorÃ¡ria Diurno – 2Âº Semestre 2018; Grade HorÃ¡ria Noturno – 2Âº Semestre 2018; Oferta de Disciplinas Optativas – 2Âº Semestre 2018.
Chamada de Trabalhos para o Workshop on Economic Complexity and Development 2018 InformaÃ§Ãµes no link _____________________________ Com grande satisfaÃ§Ã£o informamos que o Premio Jaume Vicens Vives al mejor libro de historia econÃ³mica concedido pela AsociaciÃ³n EspaÃ±ola de Historia EconÃ³mica – AEHE, foi concedido ao livro: Evolution of Family Business. Continuity and Change in Latin […]
Das 07h00 Ã s 13h00 – Mary Anne Muraski Nowak Das 12h00 Ã s 18h00 – LaÃs de Lima Rocha Das 16h00 Ã s 22h00 – Antonio Luiz Costa Gomes
CALENDÃRIO ACADÃMICO UFPR 2018
Economics, Complexity and Development
Inclusive and sustainable economic development constitutes difficult challenges for all countries. It is a complex phenomenon, involving heterogeneous agents, continuous innovations, and structural change. Understanding the unbalances and discontinuities in the process of economic development requires tools and thinking suited to deal with complex systems and evolving dynamics.
Research on economic complexity (Arthur-2013, Beinhocker-2006) provides a promising way to study the relationship between economic growth, structural change and SDGs.
In recent years, with the advances in computer science, several macro models representing the economy as a complex system have emerged. Such models are significantly contributing to understand the economy as the result of interactions between heterogeneous agents.
Empirical work investigating changes in the composition of export structures describes the space of goods and sectors using tools from network and complexity theory. Similarly, technological change has been described as a complex adaptive system.
Aims and Objectives
Agent-based simulation models are increasinglyÂ adopted as research tool in economics andÂ other social sciences. Along with the severalÂ avenues that these models open for research,
are the difficulties related to programming,Â following a robust methodological protocol andÂ properly communicate the model and results.
The course will provide students with theÂ necessary skills to design, implement, andÂ analyse robust agent based models.
This is a week-long full-time intensive course toÂ teach PhD and young scholars how implementÂ and best exploit agent-based simulation modelsÂ in Economics for research purposes. It will
provide students with both the technical andÂ methodological skills required to successfullyÂ develop and analyse simulation models in aÂ research project, such as a PhD or a paper.