New England Complex Systems Institute

From Wikipedia, the free encyclopedia

The New England Complex Systems Institute (NECSI) is "an independent educational and research institution dedicated to advancing the study of complex systems". NECSI was established by faculty of various New England academic institutions, to encourage communication and collaboration on these topics.

Their take on "complex systems", from their website:

Complex systems have multiple interacting components whose collective behavior cannot be simply inferred from the behavior of components. The recognition that understanding the parts cannot explain collective behavior has led to various new concepts and methodologies that are affecting all fields of science and engineering, and are being applied to technology, business and even social policy.

1 Areas of research
2 Faculty, co-faculty and affiliates
3 References
4 See also
5 External links

[edit] Areas of research

Evolution and Ecology: NECSI researchers have contributed to the understanding of evolutionary dynamics, the evolution of altruism, the origin and characterization of biodiversity, and the interplay between evolution and ecology.

Much of the work done at NECSI has focused on the role of the spatial distribution of species, an often overlooked factor of evolutionary dynamics. In the case where portions of a population are geographically isolated from each other, for example, Yaneer Bar-Yam was able to demonstrate shortcomings in the gene-centered view of evolution, an approximation that is only valid if there is complete mixing of alleles in the gene pool.^[1]

Networks: Studies of network topologies have found surprising similarities between a variety of complex social, technological and biological networks. NECSI research in networks focuses on the relationship between structure, dynamics and function.

Multiscale Representation: Complex systems exhibit behaviors at a variety of spatial and temporal scales. Researchers working at NECSI have developed a mathematical formalism for simultaneously describing systems on multiple scales. This formalism had been applied to physical systems, information systems, organizational behavior, engineering projects and military conflict.

An essential tool for multiscale analysis the complexity profile, the relationship between the observed complexity of a system and the scale of observation.

Systems Biology

Systems Engineering

Organizational Management

Negotiation

[edit] Faculty, co-faculty and affiliates

Faculty and Co-Faculty

Yaneer Bar-Yam	Michel Baranger	Charles Cantor
Richard Cooper	Terrence Deacon	Irving Epstein
William Gelbart	Ernest Hartmann	Jerome Kagan
Mehran Kardar	Les Kaufman	Eric Klopfer
Blake LeBaron	Seth Lloyd	Tom Petzinger
Stuart Pimm	Daniel Rothman	Larry Rudolph
Thomas Schelling	Peter Senge	Temple Smith
John Sterman	James Stock	Hiroshi Tasaka
Günter Wagner

Affiliates

Marcus de Aguiar	Zvi Bar-Yam	Bruce Boghosian
Dan Braha	Raffaele Calabretta	Jeffrey Cares
Marshall Clemens	Gavin Crooks	Meghan Dierks
Helen Harte	Steven Hassan	Sui Huang
Michael J. Jacobson	Fumiaki Katagiri	Andreas Kemper
Mark Klein	David Meyer	Ali Minai
Hiroki Sayama	Tommaso Toffoli	Omer Trajman
Sheldon White	Uri Wilensky