My field of interests concerns two axes:
First, epistemology of computational modeling and simulation of complex systems. I am particularly interested in a sociological inquiry about social implication of knowledge derived from complex systems’ study.
Second, assessing the possibilities and limits of studying social complexity with complex systems tools, particularly, agent-based modeling and simulation.
I am a formally oriented philosopher, applying computational techniques to questions of social epistemology and political philosophy. My current research is focused on explanations and interventions for phenomena of collective irrationality.
Agent Models for Social Simulation
Behavioural aspects of environmental problems: Use of evolutionary approaches to investigate how people react to environmental policy.
Climate-economic Models: Understand how economic agents think and decide about climate change and climate protection
Ken Buetow is a human genetics and genomics researcher who leverages computational tools to understand complex traits such as cancer, liver disease, and obesity. He currently serves as director of Computational Sciences and Informatics program for Complex Adaptive Systems at Arizona State University ([email protected]), is a professor in the School of Life Sciences in ASU’s College of Liberal Arts and Sciences; is a core faculty in the Center for Evolution and Medicine in the Biodesign Institute at ASU; and is director of bioinformatics and data management for the National Biomarker Development Alliance.
Professor Buetow previously served as the Founding Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health’s National Cancer Institute.
I’m interested in inter-individual interactions in general, demo-genetics and group behaviour. I’m currently working on locusts. Visit my website for more info.
I am interested in the interface between biology and computation. I am especially focused on modelling and simulation of evolutionary processes.