Welcome to Center for Computational Analysis of Social and Organizational Systems (CASOS)!
CASOS brings together computer science, dynamic network analysis and the empirical study of complex socio-technical systems. Computational and social network techniques are combined to develop a better understanding of the fundamental principles of organizing, coordinating, managing and destabilizing systems of intelligent adaptive agents (human and artificial) engaged in real tasks at the team, organizational or social level. Whether the research involves the development of metrics, theories, computer simulations, toolkits, or new data analysis techniques advances in computer science are combined with a deep understanding of the underlying cognitive, social, political, business and policy issues.
CASOS is a university wide center drawing on a group of world id faculty, students and research and administrative staff in multiple departments at Carnegie Mellon. CASOS fosters multi-disciplinary research in which students and faculty work with students and faculty in other universities as well as scientists and practitioners in industry and government. CASOS research leads the way in examining network dynamics and in linking social networks to other types of networks such as knowledge networks. This work has led to the development of new statistical toolkits for the collection and analysis of network data (Ora and AutoMap). Additionally, a number of validated multi-agent network models in areas as diverse as network evolution , bio-terrorism, covert networks, and organizational adaptation have been developed and used to increase our understanding of real socio-technical systems.
CASOS research spans multiple disciplines and technologies. Social networks, dynamic networks, agent based models, complex systems, link analysis, entity extraction, link extraction, anomaly detection, and machine learning are among the methodologies used by members of CASOS to tackle real world problems.
- June 2014 - CASOS PhD students Kenny Joseph and Wei Wei were both selected to each receive $500 in Graduate Student Assembly/Provost Conference Funds at CMU to attend ACM SIGKDD in August 2014. Congrats!
- June 2014 - Assistant Prof. Jürgen Pfeffer will be giving an invited talk on "visual analytics in mapping of social-semantic networks" at ESOF, Europe's largest Science meeting.
- May 2014 - CASOS Ph.D. student Wei Wei will travel to Sanford, CA to present a paper co-authored with Prof. Kathleen M. Carley at 2014 BigDataScience conference. The paper is titled "Real Time Closeness Betweeness Centrality Calculations on Streaming Network Data."