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.

My main interests are system dynamics and multi agent simulation used for support of business and marketing decisions (e.g. modeling of consumer markets) and in business education (e.g. development of open source business simulators). Amongst my other interests are applied marketing research, relationships between academia and industry, financial literacy, mind and concept mapping.

I am interested in modeling social behavior. I have been working in the field of labor economics and industrial relations and how micro-simulations determine aggregate outcomes.

Agricultural Economics
Agent-based-modelling

Networks Theory, Applied Microeconomics, Industrial Organization and Social Interactions.

Social science modeling, especially capital theory.

My interests lie in the intersection of economics, networks, and computation. I am currently studying labour dynamics as a process where people flow throughout the economy by moving from one firm to another. I study these flows by looking at detailed data about employment histories of each individual and every firm in entire economies. Using this information, I construct networks of firms in order to map the roads that people take throughout their careers. This allows to study labour markets at an unprecedented fine-grained level of detail. I employ agent-based computing methods to understand how economic shocks and policies alter labour flows, which eventually translate into unemployment and other related problems.

Agent based modelling in water management, especially focused in extreme phenomena such floods and droughts.