The Multilayer Structure of Corporate Networks

cxdig's avatarComplexity Digest

Various company interactions can be described by networks, for instance the ownership networks and the board membership networks. To understand the ecosystem of companies, these interactions cannot be seen in isolation. For this purpose we construct a new multilayer network of interactions between companies in Germany and in the United Kingdom, combining ownership links, social ties through joint board directors, R&D collaborations and stock correlations in one linked multiplex dataset. We describe the features of this network and show there exists a non-trivial overlap between these different types of networks, where the different types of connections complement each other and make the overall structure more complex. This highlights that corporate control, boardroom influence and other connections have different structures and together make an even smaller corporate world than previously reported. We have a first look at the relation between company performance and location in the network structure.

 

The Multilayer…

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Viable system model training

Putting Henri Bortoft’s Philosophy of Wholeness into Practice through Holonomics

Simon's avatarTransition Consciousness

Henri Bortoft at Schumacher College

I have now reached the end of my project of publishing the entire series of lectures from 2009 which Henri Bortoft gave at Schumacher College as part of the foundation of the masters degree in Holistic Science. I would like to thank all those of you who have watched, enjoyed and also taken the time to either leave comments or contact me about this series.

The links to all of the lectures, which include my lecture notes can be found at the end of my introduction: The Henri Bortoft Lectures: An Introduction

Having participated in the lectures and understanding just how powerful and transformative Henri’s teachings were, it was a long-time dream to be able to make these available for anyone wishing to really develop a deep understanding of the dynamic conception of wholeness in Goethe and European thought.

Photo: Simon Robinson

I thought I…

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Complexity and Management Conference 17th-19th May – booking now.

Chris Mowles's avatarComplexity & Management Centre

This year’s Complexity and Management Conference, on 17th-19th May:  What does it mean to be critical? – complexity, reflexivity and doubt in everyday organisational life offers the opportunity for delegates to reflect on what it means to be critical and why it is important to be so in today’s organisations. On the first morning of the conference we have invited Professor Andre Spicer to help us get the discussion going. If you want to sign up for the conference and save yourself some money before the early bird deadline expires, then click here.

Here are a few ideas on the traditions of thought to which we will be contributing.

We have a strong critical tradition in western thought, starting with the ancient Greeks. However, the contemporary philosopher Julian Baggini has shown us how a variety of cultures have their own traditions of systematically thinking about the…

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Excerpts from Between an Animal and a Machine – Pawel Majewski

 

Source: 1 The Genesis and Growth of Cybernetics : Between an Animal and a Machine

 

Between an Animal and a Machine

Stanisław Lem’s Technological Utopia

Series:

Pawel Majewski

The subject of this book is the philosophy of Stanisław Lem. The first part contains an analysis and interpretation of one of his early works, The Dialogues. The author tries to show how Lem used the terminology of cybernetics to create a project of sociology and anthropology. The second part examines Lem’s essay Summa technologiae, which is considered as the project of human autoevolution. The term «autoevolution» is a neologism for the concept of humans taking control over their own biological evolution and form in order to improve the conditions of their … Show More

1 The Genesis and Growth of Cybernetics

1The Genesis and Growth of Cybernetics

The intellectual climate of the 21st century is not particularly favorable to the so-called “grand narratives” – intellectual approaches that aim to explain the entire reality available to human mind, or at least a large portion of it. It is commonly accepted that structuralism was the last such grand narrative, which seemed to serve as a metatheory of the humanities in the 1960s and 1970s. However, its predecessor in that regard – cybernetics – is rarely mentioned, even though it was even more prevalent between the end of the 1940s and mid-1960s.

Part One of this book is to be devoted to Dialogues – the one among Lem’s works in which his fascination with cybernetics is the strongest.6 In fact, Dialogues cannot be understood without referring to the swift career of the discipline. Therefore, before discussing cybernetics itself, I should outline briefly its history. This description of what cybernetics is will, however, come from an amateur. The mathematical tools and vocabulary used by the creators and proponents of cybernetics remain unavailable to me. I will be treating cybernetics as a phenomenon in the history of science and ideas, leaving mathematics in a sort of “black box,” which is not to be opened, but which is being observed focusing on its location and functioning. It is justifiable, as the cyberneticists never limited themselves to producing mathematical arguments. The founding father of cybernetics himself, Norbert Wiener showed the path here (I will return to it). In fact, some branches of cybernetics detached themselves completely from science. And these branches happened to wither the earliest.

Cybernetics is commonly described as “a scientific study of control and communication in complex systems” – this is how it was defined by its creator, Norbert Wiener.7 The general character of this description is quite significant, indicating not only a broad background and a variety of sources of the discipline, but also its broad scope. Wiener gave it a name derived from Greek.8 “Kybernetes” means ←15 | 16→“helmsman” and is derived from the verb “kybernao”, meaning “to steer.”9 The term “governor” has the same root.

Cybernetics was largely born from war-time needs and was related to technologies of building quick counting machines – in both cases the purpose was to facilitate calculating trajectories of missiles targeting bullets. In an introduction to his book Cybernetics, Second Edition: or the Control and Communication in the Animal and the Machine,10 which became the founding work of the entire discipline, Wiener describes in detail how the ideas of cybernetics were born during seminars he participated in at Harvard’s Vanderbilt Hall in 1941–1944 together with mathematicians (including von Neumann), engineers, biologists and doctors.11 This interdisciplinary gathering observed that there are numerous analogies between the functioning of new calculating machines and biological organisms when it comes to mechanisms of steering and control. It turned out some processes within calculating machines and human nervous systems can be described with the same mathematical formulae – that is, processes that include feedback and oscillations.12 Research continued after the end of the war was conducted simultaneously in engineering and biology. This duality of research directions is characteristic of the entire cybernetics, and it will be important for the argument that follows.

Wiener himself played a pivotal role in shaping the new discipline – he stood behind its laws and ideology. As a child this versatile scholar and intellectual was fascinated by nature, and traces of such interests are clear in his works, which combine mathematics with physiology. It must have tickled the imagination of a young physician Stanisław Lem, when he read his books in Mieczysław Choynowski’s seminar; learning English from them.13 Wiener was not only a ←16 | 17→mathematician, but also an engaged social critic, which can be best seen in his book The Human Use of Human Beings. Cybernetics and Society (1950), which is not a scientific work, but a collection of essays about science for a general public, oftentimes with a journalistic air to them. The fact that this particular book has become a popular guide to cybernetics shows that unlike other disciplines, cybernetics was tied to its social context from the very beginning – its creator himself has positioned it that way, and he did it on purpose. This was certainly aided by his powerful, authoritarian personality, which emanates from his determined arguments admitting no opposition and densely marking his texts, as well as from his very critical remarks about the postwar American society.14

Apart from contemporary needs and an intellectual osmosis between biologists and engineers, for Wiener the sources of cybernetics lied primarily in the development of thermodynamics and statistical mechanics in the late 19th century. He had especially great respect for one of the men behind both these disciplines – Josiah Willard Gibbs, whose long underestimated works greatly enriched statistical interpretation of energy transmission processes.15 Information transmission is part of these processes, as Wiener and his colleagues remarked – and the information is treated as a physical quality here. In Cybernetics, Wiener provides basis for a mathematical description of information,16 which was then developed further by his disciple, Claude Shannon. This is where physics and biology meet: according to Wiener a biological organism is an energy and information processing system.

Later cyberneticists developed the discipline much further and found some much earlier antecedents for it. They saw all thinkers and engineers involved in combinatorics and building calculating or moving machines as early cyberneticists, from Ramon Llull and Jaquet-Droz to Pascal and Leibniz (Wiener presented the latter as the “patron saint of cybernetics”). Even cabalist mystics ←17 | 18→with their search for Golem were listed in that context.17Mathematical roots of cybernetics were largely impacted by early game theory and von Neumann’s theory of automata,18 Turing’s works on computability and the probability theory, which was being developed at the time by thinkers such as Andrey Kolmogorov and Ronald Fisher (all these names come up both in Wiener’s and Lem’s texts).

It was soon observed that

certain kinds of machines and some living organisms – particularly the higher living organisms – can, as we have seen, modify their patterns of behavior on the basis of past experience so as to achieve specific antientropic ends. In these higher forms of communicative organisms the environment, considered as past experience of an individual, can modify the pattern of behavior into one which will in some sense or other will deal more effectively with the future environment.19

It was another step toward conceptually placing humans and machines on a par. A theory of “learning machines” started being developed, together with building such machines, initially quite primitive, and then increasingly complex.

In 1948 William Ross Ashby made the first Homeostat – “a physical model imitating the phenomenon of homeostasis [i.e. physiological balance in a variable environment] and the self-organizing capacities of the brain.”20The Homeostat was in fact the first practical success of cybernetics. In the 1950s and 1960s cybernetics developed swiftly and had its big entry into such disciplines as biology, economy, technical sciences (including telecommunication), sociology, political science and other.21 The marriage of cybernetics and biology gave rise to a discipline sometimes called bionics (usually biocybernetics) – and this was when for the first time there were publications on systems that combine biological and mechanical components, based on thorough research on the functioning of human nervous system.22 I emphasize that so much, because such ←18 | 19→systems (cyborgs) will be one of the main topics of Part Three of this book. For some time it seemed like creating a structure that would combine features of a biological organism and a machine is close. Research in economical cybernetics looked promising. New subdisciplines were formed too, such as socio- and psychocybernetics and military, medical, pedagogical and linguistic cybernetics (the latter producing the first attempts at machine translations). Researching all types of steering processes, scholars focused on problems such as the impact of steering signals and feedback on the quality and stability of control, the impact of the structure of the systems on their reliability and the resistance of steering systems to interference. It needs to be emphasized, given the liberties with terminology taken by later epigones of cybernetics, that all these notions originally had precise mathematics determinants, formed on the basis of advanced fields of the science. In the 1970s it was further enriched by linking cybernetics to the general system theory,23 which made it possible to research complex steering systems, among other things.

While creating cybernetics, Norbert Wiener saw it not only as a new, revealing discipline of science but also as a remedy to the increasing atomization of sciences24 and as a major tool shaping social life.25 Very soon, however, in the 1960s it became clear that neither of these “metascientific” goals of cybernetics is or ←19 | 20→can be achieved. Instead of quickly becoming a mathesis universalis, it started dividing into subdisciplines, which were losing connection with one another. The attempts to apply cybernetics to social sciences, which were in fact undertaken against Wiener’s will,26 soon failed, as they turned cybernetic terminology from a precise vocabulary into a set of blurry metaphors with no heuristic value (I shall provide examples of that later). The purely technical fields of cybernetics, such as the theory of automata, of adaptive control systems and of optimal and hierarchical control, as well as the more specialized biocybernetical research, met the same fate as all other subdisciplines: this atomization and formal sophistication have made them completely inaccessible for those who specialize in slightly other fields (not to mention amateurs). What happened was exactly what Wiener was trying to save the science from.

There are innumerable texts about cybernetics. Globally there are hundreds of monographs and dozens of thousands of articles. It is impossible to pin down the moment when all this production got relegated to the margins of real science, because naturally the cyberneticists themselves have never admitted it had happened. It can be said that the 1970s brought the final fading of classic cybernetics, even though it is also the moment when Heinz von Foerster announced the end of “first-order cybernetics” and the beginning of “second-order cybernetics” in a work titled Cybernetics of Cybernetics. He defined the former as cybernetics of observed systems, while the latter as cybernetics of observing systems (which means the discipline has not avoided the self-referentiality, which became overwhelming in social sciences and the humanities at the time). This “second-order cybernetics” is now represented by sociocybernetics, which investigates the so-called autopoietic – or self-reproducing – systems.27The ←20 | 21→highly abstract character of these inquiries situates them beyond the main scope of sociology and social sciences, although such theories did have considerable impact on, for instance, biology of ecosystems for a while (there existed a branch called cybernetic ecology).

There still exist professional associations such as the American Society for Cybernetics (www.asc-cybernetics.org, the website includes numerous links to other sites of similar character), as well as journals, such as the monthly Biological Cybernetics.28 Today’s cybernetics is largely related to contemporary antireductionist theories, such as constructivism. The term includes attempts undertaken mostly by German scholars to encompass the entire human mental activity in one general theory, centered on the notion of “construction” (construction of reality in human cognitive apparatus) and employing the achievements of contemporary epistemology, system theory and system biology.

None of this means that cybernetics has not contributed anything to the mainstream world science after the period when it was one of the constituting disciplines. Fields such as IT, robotics, artificial intelligence (AI) (which cyberneticists wrote about as early as in the 1950s), the theory of automata, organization theory, telecommunication and system engineering also owe a lot to cybernetics. Economic cybernetics contributed to the development of management theory (including managing “human resources”), optimizing theory and decision theory. The specialists in neural networks, which were the thing of the time in the 1980s and 1990s, are especially indebted to cybernetics. The problem of complexity, which was in fashion at the time, investigated by both physicists (such as Stuart Kaufmann) and biologists (such as Ilya Prigogine), has a lot in common with system theory combined with an indeterminist philosophical orientation.

A detailed investigation of the growth of cybernetics in specific countries would be very time consuming. Nevertheless, it is important to glance at what happened with it in Poland, which is, I believe, a good sample, illustrating in detail the process of degeneration, which I have outlined earlier.

 

Source: 1 The Genesis and Growth of Cybernetics : Between an Animal and a Machine

Other parts (not all) accessible via:

https://www.peterlang.com/view/9783631710241/html/ch01.xhtml

Extending the legacy of social ecology into an emerging science of service systems – Coevolving Innovations

A blast from the past and a little self-referential, this older blog piece from co-host David Ing is a masterclass in blogging, drawing on his own work and understanding and a book from Rafael Ramirez, who knows a thing or two about the history of systems thinking…

 

Source: Extending the legacy of social ecology into an emerging science of service systems – Coevolving Innovations

 

I’ve been approaching the development of an emerging science of service systems from a background of the systems sciences.  Describing and designing service systems — not only in business, but also in the public sector — includes the evolution and development both of human organization and of technology.  A large body of knowledge on social systems science was developed in the post-war industrial age, e.g. research conducted by the Tavistock Institute of Human Relations (1941-1989).  This work has been categorized in three perspectives:

The socio-ecological perspective emerged while facing cases where “von Bertalanffy’s concept of open systems” was not sufficient to deal with the degree of change in the environment.

We gradually realized that if we were usefully to contribute to the problems that faced the cases mentioned above we had to extend our theoretical framework. In particular, we had to discard the  assumption that systems or individuals could not know their environments and the unipolar focus on the system, or individual as system. In a positive sense we had to theorize about the evolution of the environment  and the consequences of this evolution for the constituent  systems.  (Emery 1997, pp. 38-39)

In 1967, Fred Emery summarized needs that the social sciences should have prepared to meet over the next thirty years.  More than a decade beyond that, we now have the Internet, globalization, and the prospect of an instrumented, interconnected and intelligent “smarter planet”.

The bridge in social ecology from the Tavistock legacy to current times is made in the 2008 volume, Business Planning for Turbulent Times , edited by Rafael RamírezJohn W. Selsky, and Kees van der Heijden.  The collection of papers is a culmination of the Oxford Futures Forum 2005, with a focus on the intersection between social ecology and scenario practice.

… we consider the future through the spectacles of the scenario approach.  While we do that, we reflect on our practice in the light of the perspective offered by a school of thought in the social and organizational sciences call social ecology, in particular its description of the ‘turbulent environment’.  We will show how scenarios and social ecology inform each other ….  [p. 4]

This volume doesn’t directly address service systems.  However, the foundations from social ecology provoke some consideration for service systems.  Reshuffling the sequencing of the chapters, I found myself reflecting on on the following five ideas:

  • A. The problem: an addiction to prediction
  • B. Sustaining organizational systems in turbulent environments
  • C. Techniques for envisioning future systems
  • D. Changing systems
  • E. Shared value and engagement

The book has strong experience reports on scenario practices that may interest other readers.  I’m particularly focused on how advances in the understanding of social ecology can advance an emerging science of service systems.  Let’s expound on the five ideas

 

Continues in source: Extending the legacy of social ecology into an emerging science of service systems – Coevolving Innovations

Metacognition as a prerequisite for interdisciplinary integration

Community Member's avatarIntegration and Implementation Insights

Community member post by Machiel Keestra

Machiel Keestra (biography)

What’s needed to enable the integration of concepts, theories, methods, and results across disciplines? Why is communication among experts important, but not sufficient? Interdisciplinary experts must also meta-cognize: both individually and as a team they must monitor, evaluate and regulate their cognitive processes and mental representations. Without this, expertise will function suboptimally both for individuals and teams. Metacognition is not an easy task, though, and deserves more attention in both training and collaboration processes than it usually gets. Why is metacognition so challenging and how can it be facilitated?

Understanding cognitive processes and representations

Whenever we engage with any cognitive or behavioral tasks, our brain employs a mental representation or knowledge structure that corresponds to a word, image, or other information pertaining to that task. Experience contributes to further enrichment and structuring of that representation. A beginner’s mental representation…

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Advancing my systems change typology: considering scaling out, up and deep | Marcus Jenal

Source: Advancing my systems change typology: considering scaling out, up and deep | Marcus Jenal

 

Advancing my systems change typology: considering scaling out, up and deep

Recently I started a series on the development of a typology of systems change (the two previous articles are here and here). In this post, I want to introduce the concepts of ‘scaling out’, ‘scaling up’ and ‘scaling deep’ developed by scholars of social innovation. I want to link these concepts to my earlier thinking around the systems change typology and update it based on the new insights from this literature. At the end I will also voice a little critique on innovation-focused approaches to systems change.

‘Scaling out’ refers to the most common way of attempting to getting to scale with an innovation: reaching greater numbers by replication and dissemination. ‘Scaling up’ refers to the attempt to change institutions at the level of policy, rules and laws. Finally, ‘scaling deep’ refers to changing relationships, cultural values and beliefs.

The differentiation between scaling out, scaling up and scaling deep was introduced by Michele-Lee Moore, Darcy Riddell and Dana Vocisano in a 2015 article in The Journal of Corporate Citizenship [1]. Moore and colleagues both draw from the literature – particularly the scholarly fields of strategic niche management (SNM) and social innovation – and from an empirical study they conducted with a number of grantees from the J.W. McConnell Family Foundation in Canada. SNM is a sub-field of the literature around socio-technical transition research I also refer to in my first article of the series.

In the outset of their article, Moore and colleagues ask [1:69]:

How can brilliant, but isolated experiments aimed at solving the world’s most pressing and complex social and ecological problems become more widely adopted and achieve transformative impact?

They then make the important point that … [1:69]

… [l]eaders of large systems change and social innovation initiatives often struggle to increase their impact on systems, and funders of such change in the non-profit sector are increasingly concerned with the scale and positive impact of their investments.

Hence, the starting point of the research is very similar to the one described by the Adapt-Adopt-Expand-Respond (AAER) framework (which I introduced in my first post in the series): a (social) innovation that is successfully addressing a particular problem or situation in one or a few specific contexts or niches.

Continues in source: Advancing my systems change typology: considering scaling out, up and deep | Marcus Jenal

 

Paul Cairney: Politics & Public Policy

Nice blog which introduces, summarises, and discusses some key system-related topics, e.g.:

(title is in url)

https://paulcairney.wordpress.com/2019/02/03/policy-concepts-in-1000-words-its-time-for-some-game-theory/

https://paulcairney.wordpress.com/2019/02/03/policy-concepts-in-1000-words-the-institutional-analysis-and-development-framework-iad-and-governing-the-commons/

https://paulcairney.wordpress.com/2019/02/03/policy-in-500-words-the-social-ecological-systems-framework/

https://paulcairney.wordpress.com/2019/02/03/policy-in-500-words-ecology-of-games/

Margaret Archer – Wikipedia

Thanks to Howard Silverman for flagging Professor Archer as a notable systems thinker!

Source: Margaret Archer – Wikipedia

 

Margaret Archer

From Wikipedia, the free encyclopedia

Margaret Scotford Archer (born 20 January 1943) spent most of her academic career at the University of Warwick, UK, where she was for many years Professor of Sociology. She was also a professor at l’Ecole Polytechnique Fédérale de Lausanne, Switzerland. She is best known for coining the term elisionism in her 1995 book Realist Social Theory: The Morphogenetic Approach. In April 2014, Professor Archer was named by Pope Francis to succeed former Harvard law professor and U.S. Ambassador to the Holy See Mary Ann Glendon as President of the Pontifical Academy of Social Sciences.[1]

She studied at the University of London, graduating B.Sc. in 1964 and Ph.D. in 1967 with a thesis on The Educational Aspirations of English Working Class Parents. She was a lecturer at the University of Reading from 1966 to 1973.

She is one of the most influential theorists in the critical realist tradition. At the 12th World Congress of Sociology, she was elected as the first woman President of the International Sociological Association, is a founder member of both the Pontifical Academy of Social Sciences and the Academy of Learned Societies in the Social Sciences. She is a Trustee of the Centre for Critical Realism.

She has supervised some Ph.D students, some of whom have gone on to contribute towards the substantive development of critical realism in the social sciences, including Robert Archer, author of Education Policy and Realist Social Theory[2], Sean Creaven, author of Marxism and Realism[3], and Justin Cruickshank, author of Realism and Sociology[4].

Analytical dualism[edit source]

Margaret Archer argues that much social theory suffers from the generic defect of conflation where, due to a reluctance or inability to theorize emergent relationships between social phenomena, causal autonomy is denied to one side of the relation. This can take the form of autonomy being denied to agency with causal efficacy only granted to structure (downwards conflation). Alternatively it can take the form of autonomy being denied to structure with causal efficacy only granted to agency (upwards conflation). Finally it may take the form of central conflation where structure and agency are seen as being co-constitutive i.e. structure is reproduced through agency which is simultaneously constrained and enabled by structure. The most prominent example of central conflation is the structuration theory of Anthony Giddens. While not objecting to this approach on philosophical grounds, Archer does object to it on analytical grounds: by conflating structure and agency into unspecified movements of co-constitution, central conflationary approaches preclude the possibility of sociological exploration of the relative influence of each aspect.

In contradistinction Archer offers the approach of analytical dualism.[5] While recognizing the interdependence of structure and agency (i.e. without people there would be no structures) she argues that they operate on different timescales. At any particular moment, antecedently existing structures constrain and enable agents, whose interactions produce intended and unintended consequences, which leads to structural elaboration and the reproduction or transformation of the initial structure. The resulting structure then provides a similar context of action for future agents. Likewise the initial antecedently existing structure was itself the outcome of structural elaboration resulting from the action of prior agents. So while structure and agency are interdependent, Archer argues that it is possible to unpick them analytically. By isolating structural and/or cultural factors which provide a context of action for agents, it is possible to investigate how those factors shape the subsequent interactions of agents and how those interactions in turn reproduce or transform the initial context. Archer calls this a morphogenetic sequence. Social processes are constituted through an endless array of such sequences but, as a consequence of their temporal ordering, it is possible to disengage any such sequence in order to investigate its internal causal dynamics. Through doing so, argues Archer, it’s possible to give empirical accounts of how structural and agential phenomena interlink over time rather than merely stating their theoretical interdependence.

Cellular automaton – Wikipedia

Source: Cellular automaton – Wikipedia

Vester’s Sensitivity Model

 

Sensitivity Model
Sensitivity Model Prof. Vester®The computerized planning- and management tool for complex systems.
In an more and more complex world the common methods of solving problems are no longer sufficient and therefore no longer appropriate. Prof. Frederic Vester, recognized expert in the field of cybernetics, has developed this instrumentarium to meet the demand.

Over 30 years the Sensitivity Model Prof.Vester®, since 2006 now further developed as “Malik Sensitivity Model®Prof.Vester”, has been successfully applied in the fields of:

  • management and technical consulting
  • business strategies
  • mediation
  • risk management
  • traffic planning
  • town- and regional planning
  • scientific research and education
  • ….

The Basis- and Professional Software SYSTEMTOOLS 9.2 for Windows XP, Vista, Windows 7, Windows 8 exists as trilingual software (German, English, Spanish). Further information on demand via email

Methodology, background and practical projects are described in Frederic Vesters book: The Art of Interconnected Thinking – Ideas and Tools for dealing with complexity. A New Report to the Club of Rome.
(MCB-Publishing House, Munich 2007, 2nd edition 2013). The book can be ordered online via Amazon.

Tel. +49 089-535010
info@frederic-vester.de
pdf
http://www.frederic-vester.de/uploads/InformationEnglishSM.pdf

The Centre for the Evaluation of Complexity Across the Nexus (CECAN)

Source: Welcome to CECAN | CECAN

 

The Centre for the Evaluation of Complexity Across the Nexus (CECAN), a £3m research centre hosted by the University of Surrey, is transforming the practice of policy evaluation in Nexus areas, to make it fit for a complex world.

CECAN is pioneering, testing and promoting innovative policy evaluation approaches and methods across Nexus domains such as food, energy, water and the environment, through a series of ‘real-life’ case study projects with co-funders (ESRCNERCDEFRABEISFSA and EA).

CECAN has been delivering a programme of evaluation methods workshops, training courses in evaluation tools and specialist seminars delivered by international experts, to encourage knowledge sharing and capacity building amongst those working in UK policy making.

 

 

Resources – https://www.cecan.ac.uk/resources?fbclid=IwAR053DvRhdfKIXMww1I_H6i4Eo4R8qAeGTo7qvcV0AfuPavFZP9gJNgdniE

 

 

CECAN is producing a variety of resources available for download from this page. They are all available under a Creative Commons CC BY 4.0 licence.

 

CECAN’s Updated Manifesto, April 2018 Version 2.0

CECAN Syllabus

CECAN Managing Conflicts of Interest

CECAN Toolkits

CECAN EPPNs

CECAN has launched a Policy and Practice Note Series, with e-versions available to download.

CECAN Project Reports

CECAN Annual Conference 2018 – Policy Evaluation for a Complex World

Presentations:

Posters:

CECAN E-Newsletter Archive

Other Resources

 

Barabási Lab

About Us

The Center for Complex Network Research (CCNR), directed by Professor Albert-László Barabási, has a simple objective: think networks. The center’s research focuses on how networks emerge, what they look like, and how they evolve; and how networks impact on understanding of complex systems.

To understand networks, CCNR’s research has developed to rather unexpected areas. Certain studies include the topology of the www – showing that webpages are on average 19 clicks form each other; complex cellular network inside the cell-looking at both metabolic and genetic networks; the Internet’s Achilles’ Heel. The center’s researchers have even ventured to study how actors are connected in Hollywood.

Source: Barabási Lab

General Morphological Analysis

General Morphological Analysis

A general method for non-quantified modeling

© Swedish Morphological Society, 2002 (Revised 2013)
Licensed under a Creative Commons Attribution.

Article presenting Fritz Zwicky’s General Morphological Analysis as a method for non-quantified modeling, scenario development and strategy analysis.

Source: General Morphological Analysis

 

 

Wikipedia: https://en.wikipedia.org/wiki/Morphological_analysis_(problem-solving)

 

Morphological Analysis by Fritz Zwicky

https://www.toolshero.com/creativity/morphological-analysis-fritz-zwicky/

 

 

 

 

 

 

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