See my website for details.

Our overriding approach has been to advance the state-of-the-art in conducting large-scale simulation studies, by developing and disseminating experimental designs that facilitate the exploration of complex simulation models

I am investigating the use of machine learning techniques in non-stationary modeling environments to better reproduce aspects of human learning and decision-making in human-natural system simulations.

Agent-based modeling and simulation of public policies.

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

Complex adaptive systems, complexity, systems science, creativity, data mining, machine learning, economic and health systems, science education

Using agent based models to look at ecosystem-based or integrated management of oceans and coastal zones

• societal transitions under climate change
• models as learning tools
• communication of scientific results and uncertainties to decision makers
• efficient information processing and knowledge management in science