The CASOS Ph.D. program

Sponsored by the National Science Foundation IGERT Program

For guidance on applying to the CASOS Ph.D. program, click here.


Computational analysis is significantly impacting the way groups, organizations, institutions and societies are managed and the way individual, organizational, market, and policy decisions are made and evaluated. Computational analysis is re-shaping the way we think about organizational design and strategy, commerce, organizational learning, information technology and product development, innovation and diffusion, and adaptation at all levels. Computational models are used in social and engineering policy domains to address via what-if analysis, how different technologies, decisions and policies influence the performance, effectiveness, flexibility, and survivability of complex social systems. There is a need in both industry and in academia for highly trained individuals with a joint background in computer science / engineering and social / organizational science and so can use computational analysis to reason about complex problems. As a student in the CASOS program you will receive this inter-disciplinary training and work closely with faculty on interdisciplinary projects.

At CMU we have a tradition of utilizing a computational approach to organizational, social, and policy issues.From the Carnegie School to the present faculty and students have worked together to understand complex social issues and improve policy decisions using computational analysis. Building on the ground breaking work of: Herb Simon, Bounded Rationality — Richard Cyert and Jim March, "A Behavioral Theory of the Firm" — Allen Newell, "Unified Theories of Cognition" — members of the CMU community use simulation to understand and predict the behavior of individuals, groups, organizations, and societies using empirically grounded and cognitively realistic models. Building on this rich heritage, CASOS blends CMU's strengths in organizations and in computer science into a unified perspective on computational social and organizational systems. The Ph.D. program emphasizes interdisciplinary mentoring, practical training in how to do research, computational and mathematical modeling, analysis and validation applied to social, organizational and policy issues. In CASOS we are creating an integrated research and education environment in which students and faculty can engage in the ethical conduct of high impact research building on both computer science and social science in a state-of-the-art intelligent and wireless office and classroom of the future.

CASOS is a multidisciplinary, university wide center for Computational Analysis of Social and Organizational Systems at Carnegie Mellon University.CASOS brings together a multidisciplinary set of faculty and students interested in combining computer science and social or organizational science. Core strengths include: Computational Organizational Theory, Computational Social Science, Computational Economics, Distributed Artificial Intelligence, Electronic Commerce, and Social and Organizational Networks.

Please note that most PhD students are in the COS program. Visit the COS website for further imformation.