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# Complex Systems Program

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This page is not currently being maintained and is for archival information only.

Please see our most recent work at: Measurement Science for Complex Information Systems

Complex Systems are composed of large interrelated, interacting entities which taken together, exhibit a macroscopic behavior which is not predictable by examination of the individual entities. The Complex Systems Program seeks to understand the fundamental science of these systems and develop rigorous descriptions (analytic, statistical, or semantic) that enable prediction and control of their behavior. Initially focused on the Internet and Grid Computing, this Program will facilitate predictability and reliability in these areas and other complex systems such as biotechnology, nanotechnology, semiconductors, and complex engineering.

### Programs/Projects:

                  - Complex Systems Fundamentals  	Roldan Pozo
                  - Measurement Science for Complex Information Systems   	Kevin Mills, Chris Dabrowski, Vladimir Marbukh, Jim Filliben, Fern Hunt, Dan Genin, Dennis Leber
                  - Complex Systems Testbed  	Vince Stanford, Lukas Diduch, Imad Hamchi, Mathieu Hoarau, Antoine Fillinger
                  - Methods for Characterizing Complex Networks  	Isabel Beichl, Brian Cloteaux

### Latest Publications:

                  - Using Markov Chain Analysis to Study Dynamic Behavior in Large-Scale Grid Systems  	Dabrowski, Hunt
                  - Dynamic Routing and Congestion Control Through Random Assignment of Routes  	Hunt, Marbukh
                  - Measuring the Effectiveness of the s-Metric to Produce Better Network Models  	Beichl, Cloteaux

### Latest Images of the Month (click for all images):

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## Contacts

                -  Kamie Roberts  kathleen.roberts@nist.gov      (301) 975-2982   

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301-975-2000

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