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The '''New England Complex Systems Institute''' (NECSI) is an American research institution dedicated to advancing the study of [[complex systems]]. It is founded in [[1996]] and located in [[Cambridge, MA]].<ref name = "NECSI"> [http://necsi.org/index.html NECSI New England Complex Systems Institute], website 2007.</ref>
{{Primarysources|date=February 2007}}
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:


== Overview ==
NECSI was established by faculty of various New England academic institutions, to encourage communication and collaboration on these topics. Their take on "[[complex systems]]":<ref name = "NECSI"/>
<blockquote>
<blockquote>
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]].
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]].
</blockquote>
</blockquote>


==Areas of research==
== Areas of research ==
===Evolution and Ecology===
=== Evolution and Ecology ===
NECSI researchers have contributed to the understanding of evolutionary dynamics, the evolution of [[altruism in animals|altruism]], the origin and characterization of biodiversity, and the interplay between evolution and ecology.
NECSI researchers have contributed to the understanding of evolutionary dynamics, the evolution of [[altruism in animals|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 valid only if there is complete mixing of alleles in the gene pool.<ref name="gene-centered">Bar-Yam, Y. [http://necsi.org/projects/yaneer/genecenteredmft.pdf Formalizing the gene-centered view of evolution] Adv. Complex Syst. '''2''' (3) 277-281 (1999).</ref>
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 valid only if there is complete mixing of alleles in the gene pool.<ref name="gene-centered">Bar-Yam, Y. [http://necsi.org/projects/yaneer/genecenteredmft.pdf Formalizing the gene-centered view of evolution] Adv. Complex Syst. '''2''' (3) 277-281 (1999).</ref>


===Networks===
=== Networks ===
Studies of [[network topology|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.
Studies of [[network topology|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.


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


=== Further fields of research ===
===Systems Biology===
===Systems Engineering===
* [[Systems Biology]]
* [[Systems Engineering]]
===Organizational Management===
* Organizational Management
===Negotiation===
* [[Negotiation]]
==Faculty, co-faculty and affiliates==

== Faculty, co-faculty and affiliates ==
;Faculty and Co-Faculty
;Faculty and Co-Faculty
{{multicol}}
{|cellpadding="0" width="90%"
*[[Yaneer Bar-Yam]]
|-
*Michel Baranger
|width="33%"|[[Yaneer Bar-Yam]]
*[[Charles Cantor]]
|width="33%"|Michel Baranger
*Richard Cooper
|width="33%"|[[Charles Cantor]]
*[[Terrence Deacon]]
|-
*Irving Epstein
|Richard Cooper
*William Gelbart
|[[Terrence Deacon]]
*Ernest Hartmann
|Irving Epstein
*Jerome Kagan
|-
{{multicol-break}}
|William Gelbart
*[[Mehran Kardar]]
|Ernest Hartmann
*Les Kaufman
|Jerome Kagan
*Eric Klopfer
|-
*Blake LeBaron
|[[Mehran Kardar]]
*[[Seth Lloyd]]
|Les Kaufman
*Tom Petzinger
|Eric Klopfer
*Stuart Pimm
|-
*Daniel Rothman
|Blake LeBaron
*Larry Rudolph
|[[Seth Lloyd]]
{{multicol-break}}
|Tom Petzinger
*[[Thomas Schelling]]
|-
*[[Peter Senge]]
|Stuart Pimm
*Temple Smith
|Daniel Rothman
*[[John Sterman]]
|Larry Rudolph
*James Stock
|-
*Hiroshi Tasaka
|[[Thomas Schelling]]
*Günter Wagner
|[[Peter Senge]]
{{multicol-end}}
|Temple Smith
|-
|[[John Sterman]]
|James Stock
|Hiroshi Tasaka
|-
|Günter Wagner
|
|
|}


;Affiliates
;Affiliates
{{multicol}}
{|cellpadding="0" width="90%"
*Marcus de Aguiar
|-
*Zvi Bar-Yam
|width="33%"|Marcus de Aguiar
*Bruce Boghosian
|width="33%"|Zvi Bar-Yam
*Dan Braha
|width="33%"|Bruce Boghosian
*Raffaele Calabretta
|-
*Jeffrey Cares
|Dan Braha
*Marshall Clemens
|Raffaele Calabretta
*Gavin Crooks
|Jeffrey Cares
{{multicol-break}}
|-
*Meghan Dierks
|Marshall Clemens
*Helen Harte
|Gavin Crooks
*[[Steven Hassan]]
|Meghan Dierks
*Sui Huang
|-
*Michael J. Jacobson
|Helen Harte
*Fumiaki Katagiri
|[[Steven Hassan]]
*Andreas Kemper
|Sui Huang
*Mark Klein
|-
{{multicol-break}}
|Michael J. Jacobson
*David Meyer
|Fumiaki Katagiri
*Ali Minai
|Andreas Kemper
*Hiroki Sayama
|-
*[[Tommaso Toffoli]]
|Mark Klein
*Omer Trajman
|David Meyer
*Sheldon White
|Ali Minai
*Uri Wilensky
|-
{{multicol-end}}
|Hiroki Sayama
|[[Tommaso Toffoli]]
|Omer Trajman
|-
|Sheldon White
|Uri Wilensky
|
|}


==References==
== References ==
<references/>
<references/>

==See also==
== See also ==
*[[Complexity theory]]
*[[Complexity theory]]
*[[Santa Fe Institute]]
*[[Santa Fe Institute]]

Revision as of 13:58, 14 September 2007

The New England Complex Systems Institute (NECSI) is an American research institution dedicated to advancing the study of complex systems. It is founded in 1996 and located in Cambridge, MA.[1]

Overview

NECSI was established by faculty of various New England academic institutions, to encourage communication and collaboration on these topics. Their take on "complex systems":[1]

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.

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 valid only if there is complete mixing of alleles in the gene pool.[2]

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.

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.

Further fields of research

Faculty, co-faculty and affiliates

Faculty and Co-Faculty

Template:Multicol

Template:Multicol-break

  • Mehran Kardar
  • Les Kaufman
  • Eric Klopfer
  • Blake LeBaron
  • Seth Lloyd
  • Tom Petzinger
  • Stuart Pimm
  • Daniel Rothman
  • Larry Rudolph

Template:Multicol-break

Template:Multicol-end

Affiliates

Template:Multicol

  • Marcus de Aguiar
  • Zvi Bar-Yam
  • Bruce Boghosian
  • Dan Braha
  • Raffaele Calabretta
  • Jeffrey Cares
  • Marshall Clemens
  • Gavin Crooks

Template:Multicol-break

  • Meghan Dierks
  • Helen Harte
  • Steven Hassan
  • Sui Huang
  • Michael J. Jacobson
  • Fumiaki Katagiri
  • Andreas Kemper
  • Mark Klein

Template:Multicol-break

  • David Meyer
  • Ali Minai
  • Hiroki Sayama
  • Tommaso Toffoli
  • Omer Trajman
  • Sheldon White
  • Uri Wilensky

Template:Multicol-end

References

  1. ^ a b NECSI New England Complex Systems Institute, website 2007.
  2. ^ Bar-Yam, Y. Formalizing the gene-centered view of evolution Adv. Complex Syst. 2 (3) 277-281 (1999).

See also

Retrieved from "https://en.wikipedia.org/w/index.php?title=New_England_Complex_Systems_Institute&oldid=157847296"