Computational Social Science is the interdisciplinary science of complex social systems and their investigation through computational modeling and related techniques.
The aim of the Computational Social Science Program is to provide our students with the relevant tools and skill set to investigate this new and exciting field through our unique degree programs.
For the latest news, courses and research in CSS Program please visit Department of Computational and Data Sciences Website.
This site is currenlty being changed. For the latest news and information on the CSS program please visit the Department of Computational and Data Sciences .
The Computational Social Science program is within the Department of Computational and Data Sciences .
Apply now for a Master of Arts in Interdisciplinary Studies MAIS with a concentration in Computational Social Science. Click here to read more
An Agent-Based Model of the Housing Market
A simple agent-based model of a housing market built in NetLogo for a term project in CSS 610. In the model only the interest rates are set exogenously and the experiments are run according to the actual historical interest rates from the US. The results of these experiments are consistent with the bubble burst from middle 2007. Click here to read more
Kevin Comer is a Ph.D. candidate in the Department of Computational Social Science. His research is focused on modeling the drivers and effects of adverse selection, or non-participation, in markets. His dissertation topic is the simulation of this phenomenon, using agent-based models, in the context of the individual health insurance marketClick here to read more