Case Based Modeling and Sociology and the Complexity Sciences

As you can see from the picture below, we have updated the face of our Sociology and Complexity Science Website.

The new version of the website has been condensed to focus specifically on case-based modeling and its application to the study of various topics in health and health care. 

Case-based modeling is an entirely new approach to modeling complex systems, grounded in two key insights by the British sociologist and complexity scientist, David Byrne: (1) complex systems are cases and cases are complex systems; (2) complex realism serves as a viable epistemological frame for social scientific inquiry.



The SACS Toolkit is our new case-based method for modeling complex systems.  It uses a long list of the latest methods in computational modeling (e.g., network analysis, cluster analysis, agent-based modeling, neural nets, synergetics, cellular automata, etc) in connection with conventional social scientific methods (e.g., factory analysis, logistic regression, grounded theory method and historical inquiry) to model complex systems as sets of cases.  

On the website, you will see:

1. A quick overview of case-based modeling.
2. Papers on the SACS Toolkit, including a mathematical outline of our method.
3. Papers applying the SACS Toolkit to various topics.
4. Papers on mixed methods and data mining.