Learned Resiliency: Secure Multi-Level Systems
Lead PI:
Kathleen Carley
Abstract

The objective of this project is to develop a theory of system resiliency for complex adaptive socio-technical systems.  A secondary objective is to develop the modeling framework and associated metrics for examining the resiliency of complex socio-technical systems in the face of various cyber and non-cyber attacks, such that the methodology can be used to support both basic level simulation based experimentation and assessment of actual socio-technical systems.

OUR TEAM:

Professor Kathleen M. Carley

Geoffrey Morgan (Student)

Mike Kowalchuk (Research Staff)

Kathleen Carley

Dr. Kathleen M. Carley is a Professor of Computation, Organizations and Society in the department – Institute for Software Research, in the School of Computer Science at Carnegie Mellon University & CEO of Carley Technologies Inc. Dr. Carley is the director of the center for Computational Analysis of Social and Organizational Systems (CASOS) which has over 25 members, both students and research staff.  Dr. Carley’s received her Ph.D. in Mathematical Sociology from Harvard University, and her undergraduate degrees in Economics and Political Science from MIT.  Her research combines cognitive science, organization science, social networks and computer science to address complex social and organizational problems. Her specific research areas are dynamic network analysis, computational social and organization theory, adaptation and evolution, text mining, and the impact of telecommunication technologies and policy on communication, information diffusion, disease contagion and response within and among groups particularly in disaster or crisis situations.  She and the members of the CASOS center have developed infrastructure tools for analyzing large scale dynamic networks and various multi-agent simulation systems.  The infrastructure tools include ORA, AutoMap and SmartCard.  ORA is a statistical toolkit for analyzing and visualizing multi-dimensional networks.  ORA results are organized into reports that meet various needs such as the management report, the mental model report, and the intelligence report.  Another tool is AutoMap, a text-mining system for extracting semantic networks from texts and then cross-classifying them using an organizational ontology into the underlying social, knowledge, resource and task networks. SmartCard is a network and behavioral estimation system for cities in the U.S..  Carley’s simulation models meld multi-agent technology with network dynamics and empirical data resulting in reusable large scale models: BioWar  a city-scale model for understanding the spread of disease and illness due to natural epidemics, chemical spills, and weaponized biological attacks; and Construct  an information and belief diffusion model that enables assessment of interventions.  She is the current and a founding editor of the journal Computational Organization Theory and has published over 200 papers and co-edited several books using computational and dynamic network models.