Applying complexity science to air traffic management

Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

Ontological possibilities the rethinking teaching on the "nature of science"

An extensive literature documents teachers’ failure to include ideas about the 'nature of science' (NOS) in their classroom programmes, despite widespread advocacy for this as an essential component of more inclusive science teaching. This thesis frames much of the existing NOS literature as a deficit literature that focuses on epistemology, while largely ignoring the ontological realities of the classroom and overestimating individual teacher’s agency to change their enacted curriculum. Epistemologically-focused NOS reforms are positioned as curriculum 'add-ons', which teachers are likely to ignore. A NOS focus on ontology would entail curriculum restructuring, attending first to the contexts in which scientific knowledge is produced, and the ways it acts in the world. In any case, science itself has changed in recent years. Drawing from the sociology of science, in particular the work of Bruno Latour, the thesis compares traditional philosophical thinking about the ontology of science with more recent 'networked' views. Brent Davis explains the educational implications of key ideas from complexity science. Political philosopher Stephen White adds an ethical dimension. His ideas are used to argue for replacing 'strong' ontologies of realist science with more nuanced and actively tended 'weak' ontologies, as appropriate to the rapid sociological changes of the twenty-first century. The thesis argues that epistemological uncertainties that could lead to the suspicion of relativism are potentially threatening in the classroom because of hegemonic pressures towards consensus and a certain, safe status for the knowledge taught. Seeking an alternative pathway to change, Daniel Liston’s conceptualisation of teaching as a passionate act informs the analysis of the empirical component of the thesis. Eight recipients of New Zealand Royal Society Science Teacher Fellowships were interviewed on four occasions over two years. They discussed their personal learning during a year-long sabbatical to carry out an extended science investigation and their thoughts and actions on returning to the classroom. Narrative methodology is used to explore the teachers’ stories, revealing both passion for their personal learning and an ethical concern for their students’ learning to care for both the natural world and science as a means of its investigation. The thesis argues for the use of ontological approaches to the initial introduction of NOS ideas in school science, with epistemological concepts added only once a topic has been grounded in what Latour calls 'matters of concern'.Two potential teaching strategies—the production of network diagrams and the use of Davis's 'bifurcations'as a critical inquiry tool—are the focus of hypothetical experimentation. First in the context of global warming, and then addressing the challenges posed to teaching evolution by the proponents of 'intelligent design', these strategies are shown to have the potential to address some of science education’ s thornier issues, not just the NOS question. However, when conflicting expectations create tensions for teachers in the classroom moment, it is difficult for them to introduce reflective, deeply philosophical changes to their representation of science. Their working realities need to be acknowledged, and the tensions ameliorated, if we expect substantive change in their current practice.

Self-organization and social science

Abstract Complexity science and its methodological applications have increased in popularity in social science during the last two decades. One key concept within complexity science is that of self-organization. Self-organization is used to refer to the emergence of stable patterns through autonomous and self-reinforcing dynamics at the micro-level. In spite of its potential relevance for the study of social dynamics, the articulation and use of the concept of self-organization has been kept within the boundaries of complexity science and links to and from mainstream social science are scarce. These links can be difficult to establish, even for researchers working in social complexity with a background in social science, because of the theoretical and conceptual diversity and fragmentation in traditional social science. This article is meant to serve as a first step in the process of overcoming this lack of cross-fertilization between complexity and mainstream social science. A systematic review of the concept of self-organization and a critical discussion of similar notions in mainstream social science is presented, in an effort to help practitioners within subareas of complexity science to identify literature from traditional social science that could potentially inform their research.

A complexity-based diagnostic on the democratic unity roundtable mud: problems and alternatives (2008-2016)

Este trabajo exploratorio estudia al movimiento político Mesa de la Unidad Democrática (MUD), creada con el fin de oponerse la Gobierno socialista existente en venezuela. La crítica que este documento realiza, parte desde el punto de vista de la Ciencia de la Complejidad. Algunos conceptos clave de sistemas complejos han sido utilizados para explicar el funcionamiento y organización de la MUD, esto con el objetivo de generar un diagnóstico integral de los problemas que enfrenta, y evidenciar las nuevas percepciones sobre comportamientos perjudiciales que el partido tiene actualmente. Con el enfoque de la complejidad se pretende ayudar a comprender mejor el contexto que enmarca al partido y, para, finalmente aportar una serie de soluciones a los problemas de cohesión que presen

Towards complex system design and management in the engineering domain – the smart grid challenge

This is an Author's Accepted Manuscript of an article published in “Emergence: Complexity and Organization”, 15 (2), pp. 14-22 (2013), copyright Taylor & Francis.

Modeling smart grids as complex systems through the implementation of intelligent hubs

ICINCO 2010

The dynamics of industrial emergence

The need to stimulate, identify and nurture new industries is a prominent challenge in advanced economies. While basic science represents a valuable source of new ideas and opportunities, it can often take decades before this science finally finds application in the market. While numerous studies have to date focused on aspects of industrial evolution, (e.g. innovation, internationalisation, new product introduction, technological lifecycles and emerging technologies), far fewer have focused on technology-based industrial emergence. It is clear that if assistance is to be provided to firms and industrial policymakers attempting to navigate industrial emergence then we need an improved understanding of the characteristics and dynamics of this phenomenon. Accordingly, this paper reviews published work from a range of disparate disciplines - evolutionary theory, social construction of technology (SCOT), complexity science, industrial dynamics and technology management - to identify these dynamics. Through this review we conceptualise industrial emergence as a co-evolutionary process in which nonlinear dynamics operate. Industrial emergence is sensitive to the initial availability of resources and the market applications, with growth dependent on the supply-demand coupling, agents' actions to reduce uncertainty and catalytic events. Through synthesizing these key dynamics we go on to propose a conceptual model for industrial emergence. © 2010 IEEE.

On Being Too Nice: Message Interaction in an Asynchronous Learning Network

The interact system model (ISM) is used to examine the interactions between messages submitted during online discussions related to a graduate education course in curriculum theory. Interactions are analyzed using complexity science and conclusions are drawn concerning structures that could enhance discussion and support the construction of collective understandings.

Additionality of Incubator Support on Networks of University Spin-Out Firms

The formation rate of university spin-out firms has increased markedly over the past decade. While this is seen as an important channel for the commercialisation of academic research, concerns have centred around high failure rates and no-to-low growth among those which survive compared to other new technology based firms. Universities have responded to this by investing in incubators to assist spin-outs to overcome their liability of newness. Yet how effective are incubators in supporting these firms? Here we examine this in terms of the structural networks that spin-out firms form, the role of the incubator in this and the effect of this on the spin-out process.

Los conceptos de salud financiera, riesgo y epidemiología en los estados financieros de las compañías del sector de extracción de petróleo crudo y gas natural en Colombia

El presente proyecto tiene como objeto identificar cuáles son los conceptos de salud, enfermedad, epidemiología y riesgo aplicables a las empresas del sector de extracción de petróleo y gas natural en Colombia. Dado, el bajo nivel de predicción de los análisis financieros tradicionales y su insuficiencia, en términos de inversión y toma de decisiones a largo plazo, además de no considerar variables como el riesgo y las expectativas de futuro, surge la necesidad de abordar diferentes perspectivas y modelos integradores. Esta apreciación es pertinente dentro del sector de extracción de petróleo y gas natural, debido a la creciente inversión extranjera que ha reportado, US$2.862 millones en el 2010, cifra mayor a diez veces su valor en el año 2003. Así pues, se podrían desarrollar modelos multi-dimensional, con base en los conceptos de salud financiera, epidemiológicos y estadísticos. El termino de salud y su adopción en el sector empresarial, resulta útil y mantiene una coherencia conceptual, evidenciando una presencia de diferentes subsistemas o factores interactuantes e interconectados. Es necesario mencionar también, que un modelo multidimensional (multi-stage) debe tener en cuenta el riesgo y el análisis epidemiológico ha demostrado ser útil al momento de determinarlo e integrarlo en el sistema junto a otros conceptos, como la razón de riesgo y riesgo relativo. Esto se analizará mediante un estudio teórico-conceptual, que complementa un estudio previo, para contribuir al proyecto de finanzas corporativas de la línea de investigación en Gerencia.

El liderazgo organizacional: una aproximación desde la perspectiva etológica

La presente investigación plantea la necesidad fundamental de generar un proceso de análisis, tendiente a proponer dinámicas organizativas humanas, desde un enfoque etológico. La etología aparece entonces como un estudio sistemático del comportamiento animal, sus formas de asociación, su disparidad, pero sobre todo, su accionar orgánico en la búsqueda de un comportamiento colectivo que propenda por el bien común. En esta medida el liderazgo surge como una posibilidad clara de fomentar relaciones humanas centradas en las diferentes vertientes relacionales; cultura, comunicación, comunidad, axiología, y finalmente etología. Así mismo, se examinan las diferentes estrategias que el liderazgo como posibilidad de cambio dentro de las organizaciones, puede ser fundamentado mediante procesos de comparación etológica, y así generar propuestas que configuren un quehacer organizacional desde la solidaridad, el liderazgo, y el desenvolvimiento interno y externo de las organizaciones.

Relación entre cultura corporativa y desempeño: Una caracterización desde las ciencias de la complejidad

La siguiente monografía busca dar una mirada descriptiva a la cultura corporativa y a su relación con el desempeño organizacional desde la perspectiva de las ciencias de la complejidad. Inicialmente presenta una mirada general de la definición de cultura y caracteriza los sistemas complejos para luego proceder a examinar como algunos fenómenos de la complejidad se ven reflejados en la cultura, revisando la propuesta de Dolan et al, que proponen los valores como atractores en el desempeño. Adicionalmente se examinan distintas formas y definiciones de desempeño organizacional y se identifican algunos estudios que apuntan a la correlación entre culturas fuertes y desempeño. Sin embargo Gordon & DiTomaso concluyen que no se comprende muy bien cómo funciona la relación más allá de la correlación. Finalmente se concluye que la complejidad presenta una opción para explicar cómo puede funcionar la relación entre cultura y desempeño a través de los valores como un elemento cultural que lleva a la emergencia. Sin embargo queda la incógnita sobre la aplicabilidad de estrategias para implementar lo estudiado en organizaciones y en el uso de herramientas de simulación para profundizar en la investigación

Nuevas perspectivas en el estudio de la relación entre la cultura corporativa y el desempeño organizacional a partir de las ciencias de la complejidad

La presenta monografía constituye una profundización y ampliación en tres temas de interés: Cultura corporativa, ciencias de la complejidad y desempeño organizacional. Partiendo de un trabajo inicial que realiza una descripción de los anteriores conceptos y sus posibles relaciones, este trabajo resulta ser la continuación y adición de nuevas perspectivas con el fin de generar mayores aportes en el mundo académico y empresarial. Comienza con la Cultura corporativa y la identificación de sus componentes visibles, conjuntamente con una reflexión sobre este concepto como factor para la transformación y la aceptación del cambio en las organizaciones. Luego, retoma conceptos importantes en las Ciencias de la Complejidad y la teoría de sistemas como lo son los agentes, atractores, la no-linealidad y la auto-organización. Además se hace una revisión de los antecedentes y medidas actuales del desempeño organizacional, configurando al Alfa de Jensen como posible candidato para medir el impacto de la cultura corporativa manteniendo lo principios de las Ciencias de la complejidad.

Truth in complex adaptive systems models should be based on truth by constructive verification

It is argued that the truth status of emergent properties of complex adaptive systems models should be based on an epistemology of proof by constructive verification and therefore on the ontological axioms of a non-realist logical system such as constructivism or intuitionism. ‘Emergent’ properties of complex adaptive systems (CAS) models create particular epistemological and ontological challenges. These challenges bear directly on current debates in the philosophy of mathematics and in theoretical computer science. CAS research, with its emphasis on computer simulation, is heavily reliant on models which explore the entailments of Formal Axiomatic Systems (FAS). The incompleteness results of Gödel, the incomputability results of Turing, and the Algorithmic Information Theory results of Chaitin, undermine a realist (platonic) truth model of emergent properties. These same findings support the hegemony of epistemology over ontology and point to alternative truth models such as intuitionism, constructivism and quasi-empiricism.