Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models
Modeling and simulation of complex systems, particularly, interbank networks; economic models and critical phenomena modeling
Exhaustible natural resources
Network game theory models
Behavioural aspects of environmental problems: Use of evolutionary approaches to investigate how people react to environmental policy.
Climate-economic Models: Understand how economic agents think and decide about climate change and climate protection
Analyzing economic dynamics through game theory and agent based evolutionary models. My research topics go from dynamics of organizations to industrial dynamics, macroeconomic dynamics and economic policy analysis.
Agent-based computing in economics and finance
Large-scale agent-based models
Agent models calibrated by micro-data
Complex adaptive systems
Mathematical analysis of agent systems
ABM applied to socio-economic systems: opinion evolution, industry dynamics, spatial models of voting, diffusion of innovations, macroeconomic with microfoundations, etc.
To understand the nature of sustainable biophysical/economic systems. To determine the necessary and sufficient conditions for sustainability. To explore the trade-off between sustainability and social or economic justice. To investigate the application of the MEP and/or the MEPP to economic systems, or agent-based models of economic systems.
My research interests stand between natural resource management and ecological economics. The aim of my PhD project responds to the increasing demand for cross-disciplinary agent-based models that examine the disjunction between economic growth and more sustainable use of natural resources.
My research attempts to test the effectiveness of different governance and economic frameworks on managing natural resources sustainably at both regional and national levels. The goal is to simulate how communities and institutions manage the commons in complex socio-ecological systems through several case-studies, e.g. rainforest management in Australia. It is hoped that the models will highlight which combination of variables lead to positive trends in both economic and environmental indicators, which could stimulate more sustainable practices by governments, private sectors and civil society.
Game theory, artificial intelligence, agent-based models, genetic algorithms.