My primary research interest is in developing spatial computer models of social phenomena and my focus, in particular, has been on crime simulation.

Agriculture, Climate adaptation, Grazing livestock systems, Nutrient dynamics, Grazing management strategies

Environmental Economics, Resource Economics, Behaviour Economics, Social Security/ Health Economics, Sustainability, Development Economics

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

Urban Mobility
Machine Learning
Social Network Analysis
Crime Simulation

ABM researches on the theory of social systems. For example, the formation of a community, the origin of politics, nation, and state.

Agent-based modeling of human behaviour; virtual experiments

Mathematical modeling
agent-based modeling
coupling of agent-based models and mathematical models
machine learning algorithms
deep learning algorithms
Statistical inference
infectious diseases modeling

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

Simulation games, systemic complexity, learning, business cycles, and discrete-event simulation, modeling sustainability challenges in urban context.