political methodology research covering agent-based modelling and simulation of political phenomena,computational models of political phenomena (political attitudes, elite, corruption, political clientelism, state capture)

Environmental impact, hydrology, land use change, digital twinning, experimental economics, GIS, 3D, agent-based models.

Research focuses on the coupled dynamics of human and natural systems, specifically in the context of forest dynamics. I utilize a variety of modeling and analysis techniques, including agent-based modeling, cellular automata, machine learning and various spatial statistics and GIS-related methods. I am currently involved in projects that investigate the anthropogenic and biological drivers behind native and invasive forest pathogens and insects.

I am interested in using agent based modelling and systematic data collection to understand diachronic human-environment interactions in the Maya region of Guatemala, Mexico, and Belize.

Flexible agent communication
Argumentation in multi-agent systems
Knowledge representation and reasoning
Ontologies for agents
Mediation and Dispute Resolution

Currently working on agent-based modeling of wealth and income distributions; formalizing some of Luhmann’s theories of communication; modeling social norms; and modeling generative mechanisms of status hierarchies.

For my Ph.D. thesis, I developed a system to play poker.
I’m interested to see whether a similar approach can be applied to agent based models.

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