Computational Modeling of knowledge diffusion in organizational contexts.
As publically funded science has become increasingly complex, the policy and management literature has begun to focus more attention on how science is structured and organized. My research interests reside at the nexus of science and technology policy, organizational theory, and complexity theory—I am interested in how the management and organization of S&T research influences the implementation of policies and the emergence of organizational strategies and innovation. Although my research involves the use of multiple qualitative and quantitative methods, I rely heavily on agent based modeling and system dynamics approaches in addressing my research questions.
Evolution of social behavior and complex systems
I am interested in application of abm to dynamic network modeling for applications to social psychology
Natural and Social Science Interface (NSSI)
Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.
PhD student at University of Toronto: memes, social networks, contagion, agent based modeling, synthetic populations
Agent-based modeling of human behaviour; virtual experiments