Company type | Non-Profit |
---|---|
Industry | Research |
Founded | 1996 |
Headquarters | Cambridge, Massachusetts, USA |
Key people | Yaneer Bar-Yam, Founding President |
Products | Study of complex systems |
Website | necsi.edu |
The New England Complex Systems Institute (NECSI) is an independent American research institution and think tank dedicated to advancing analytics and its application to the challenges of society, and the interaction of complex systems with the environment. NECSI offers educational programs, conducts research, and hosts the International Conference on Complex Systems. It was founded in 1996 and is located in Cambridge, Massachusetts. [1]
NECSI was established in 1996 by faculty of various New England academic institutions, including MIT, Harvard, Brandeis, and others, to encourage communication and collaboration among researchers studying complex systems. [2]
The NECSI web site describes "complex systems" as follows: [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.
NECSI promotes collaboration and dissemination of new research among complex systems researchers in wide-ranging disciplines and numerous institutions. NECSI's activities for this purpose include hosting an international research conference and maintaining a roster of affiliated scholars and co-faculty.
NECSI hosts the International Conference on Complex Systems (ICCS), whose aims are:
first, to investigate those properties or characteristics that appear to be common to the very different complex systems now under study; and second, to encourage cross fertilization among the many disciplines involved. [3]
ICCS takes place on an occasional basis, with the most recent (eighth conference) in 2011. ICCS conferences have featured notable computer scientists (e.g., Gerald Sussman), mathematicians (e.g., Stephen Wolfram), systems theorists (e.g., John Sterman), physicists (e.g. Sandy Pentland), economists (e.g., James Stock), and others. Events at ICCS include research presentations and workshops, as well as pedagogical sessions aimed at a wider community.
NECSI provides a public platform for affiliates and co-faculty at numerous academic institutions, primarily in the New England region. These researchers also contribute to NECSI educational programs. [4]
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. [5]
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. The study of networks has emerged in diverse disciplines as a means of analyzing complex relational data.
NECSI research in social systems focuses on the collective actions that create revolutions, ethnic violence, urban health, fads and panics, global food and so on. The role of individuals and organization can be analyzed by techniques and tools of complex systems.
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.
Since 2009, the Institute's research focus has shifted to socio-economic systems, with particular attention to the causes and consequences of the 2008 financial crisis and dynamics of Twitter networks and social sentiment. Policy-relevant articles on stock market regulation and market crashes, [6] [7] [8] [9] [10] food riots and the causes of high food prices, [11] [12] [13] and the European bond crisis [14] have been released straight to the press. Peer-reviewed articles continue to appear on other subjects. [15] [16] [17]
NECSI's work on the global food crisis has been widely cited by the press, [18] [19] [20] by movements to curb financial speculation, [21] [22] and included among the top-10 discoveries in science in 2011 by Wired. [23] NECSI's scientific visualizations have received multiple citations on top-10 lists. [24] [25] [26]
NECSI has been called "a pioneer in using mathematics, computation and other quantitative methods to analyse topics like ethnic violence, economic crises and healthcare systems" by the press. [27]
Prior to global lockdowns, in January, 2020 Joseph Norman, Yaneer Bar Yam, and Nassim Taleb submitted a paper to the White House administration, urging them to take drastic steps to curtail the disease. [28] NECSI later assembled EndCoronaVirus.org, which included over 4,000 volunteers by March 21, 2020. The network of volunteers built endCoronavirus.org with the goal to minimize the impact of COVID-19 by providing useful data and guidelines for action. [29]
In statistics, a power law is a functional relationship between two quantities, where a relative change in one quantity results in a relative change in the other quantity proportional to the change raised to a constant exponent: one quantity varies as a power of another. The change is independent of the initial size of those quantities.
Social dynamics is the study of the behavior of groups and of the interactions of individual group members, aiming to understand the emergence of complex social behaviors among microorganisms, plants and animals, including humans. It is related to sociobiology but also draws from physics and complex system sciences. In the last century, sociodynamics was viewed as part of psychology, as shown in the work: "Sociodynamics: an integrative theorem of power, authority, interfluence and love". In the 1990s, social dynamics began being viewed as a separate scientific discipline[By whom?]. An important paper in this respect is: "The Laws of Sociodynamics". Then, starting in the 2000s, sociodynamics took off as a discipline of its own, many papers were released in the field in this decade.
A complex system is a system composed of many components which may interact with each other. Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations, an ecosystem, a living cell, and, ultimately, for some authors, the entire universe.
A stock market crash is a sudden dramatic decline of stock prices across a major cross-section of a stock market, resulting in a significant loss of paper wealth. Crashes are driven by panic selling and underlying economic factors. They often follow speculation and economic bubbles.
Economic geography is the subfield of human geography that studies economic activity and factors affecting it. It can also be considered a subfield or method in economics.
A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction P(k) of nodes in the network having k connections to other nodes goes for large values of k as
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.
Nassim Nicholas Taleb is a Lebanese-American essayist, mathematical statistician, former option trader, risk analyst, and aphorist. His work concerns problems of randomness, probability, complexity, and uncertainty.
A complex adaptive system is a system that is complex in that it is a dynamic network of interactions, but the behavior of the ensemble may not be predictable according to the behavior of the components. It is adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events. It is a "complex macroscopic collection" of relatively "similar and partially connected micro-structures" formed in order to adapt to the changing environment and increase their survivability as a macro-structure. The Complex Adaptive Systems approach builds on replicator dynamics.
J. Doyne Farmer is an American complex systems scientist and entrepreneur with interests in chaos theory, complexity and econophysics. He is Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment, Oxford University, where he is also director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School. Additionally he is an external professor at the Santa Fe Institute. His current research is on complexity economics, focusing on systemic risk in financial markets and technological progress. During his career he has made important contributions to complex systems, chaos, artificial life, theoretical biology, time series forecasting and econophysics. He co-founded Prediction Company, one of the first companies to do fully automated quantitative trading. While a graduate student he led a group that called itself Eudaemonic Enterprises and built the first wearable digital computer, which was used to beat the game of roulette. He is a founder and the Chief Scientist of Macrocosm Inc, a company devoted to scaling up complexity economics methods and reducing them to practice.
Erik Rauch was an American biophysicist and theoretical ecologist who worked at NECSI, MIT, Santa Fe Institute, Yale University, Princeton University, and other institutions. Rauch's most notable paper was published in Nature and concerned the mathematical modeling of the conservation of biodiversity.
Complexity theory and organizations, also called complexity strategy or complex adaptive organizations, is the use of the study of complexity systems in the field of strategic management and organizational studies. It draws from research in the natural sciences that examines uncertainty and non-linearity. Complexity theory emphasizes interactions and the accompanying feedback loops that constantly change systems. While it proposes that systems are unpredictable, they are also constrained by order-generating rules.
Yaneer Bar-Yam is an American scientist and activist specializing in complex systems. An expert in the quantitative analysis of pandemics, he advised policy makers on the Western African Ebola virus epidemic and founded EndCoronavirus.org, a global network of several volunteers formed in February 2020 to provide information, guidelines, and policy advocacy to fight the COVID-19 pandemic. He is the founding president of the New England Complex Systems Institute (NECSI), an independent research institution that studies complex systems science and its real-world applications.
Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich.
Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random information in a system. It has been criticised as being dependent on the subjective decisions made as to which parts of the information in the system are to be discounted as random.
Dean Rickles is Professor of History and Philosophy of Modern Physics at the University of Sydney and a Director of the Sydney Centre for Time.
A temporal network, also known as a time-varying network, is a network whose links are active only at certain points in time. Each link carries information on when it is active, along with other possible characteristics such as a weight. Time-varying networks are of particular relevance to spreading processes, like the spread of information and disease, since each link is a contact opportunity and the time ordering of contacts is included.
Carlos Gershenson is a SUNY Emprire Innovation Professor at Binghamton University and President of the Complex Systems Society (2024-2027). He used to be a tenured professor at the Universidad Nacional Autónoma de México (UNAM). His academic interests include self-organizing systems, complexity, and artificial life.
Dragon king is a double metaphor for an event that is both extremely large in size or effect and born of unique origins relative to its peers. DK events are generated by or correspond to mechanisms such as positive feedback, tipping points, bifurcations, and phase transitions, that tend to occur in nonlinear and complex systems, and serve to amplify Dragon king events to extreme levels. By understanding and monitoring these dynamics, some predictability of such events may be obtained.
Raissa M. D'Souza is the Associate Dean of Research for the College of Engineering and a Professor of Computer Science and Mechanical Engineering at the University of California, Davis as well as an External Professor and member of the Science Board at the Santa Fe Institute. She was elected a Fellow of the American Physical Society in 2016 and Fellow of the Network Science Society in 2019. D'Souza works on theory and complex systems.