Relevant bibliographies by topics / Complexity science framework

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Complexity science framework'

Author: Grafiati
Published: 19 February 2023

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Journal articles on the topic "Complexity science framework"

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Curran, Sara R. "The Global Complexity Framework." Globalizations 5, no. 2 (June 2008): 107–9. http://dx.doi.org/10.1080/14747730802057431.

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Avanzini, Martin, and Georg Moser. "A combination framework for complexity." Information and Computation 248 (June 2016): 22–55. http://dx.doi.org/10.1016/j.ic.2015.12.007.

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Maldonado, Carlos Eduardo. "Death and Complexity." Revista Latinoamericana de Bioética 21, no. 1 (July 23, 2021): 113–26. http://dx.doi.org/10.18359/rlbi.5376.

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There is no such thing as a science of death, although there is a science of life, as it happens. Death is not so much the subject matter of science but an experience, and death experiences we find abundantly in the literature. Now, experience is told not so much in a scientific tenure but as a narrative. Within the framework of bioethics, death comes closer, particularly what is usually known as end-of-life dilemmas, i.e., palliative care, a most sensitive arena, if there is any at all. This paper argues about the interplay or dialogue between death and complexity science. It claims that the knowledge of death is truly the knowledge of life and provides three arguments that lead to the central claim. The first argument is very much close to a kind of heuristic for knowing about death, while the second shows the challenge of knowing death. The third one consists of a reappraisal of death within an extensive cultural or civilizing framework. Lastly, some open-ended conclusions are drawn.
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James, Kia M. G. "Incorporating Complexity Science Theory Into Nursing Curricula." Creative Nursing 16, no. 3 (August 2010): 137–42. http://dx.doi.org/10.1891/1078-4535.16.3.137.

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Complexity science theory is a natural framework for nursing educators and nurse leaders to use in leading and solving complex, unpredictable problems in highly complex organizations and evolving health care systems. This article explores the basic tenets that must be embraced by nurse leaders and educators to integrate complexity science theory into nursing education curricula.
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Khan, Suhel Ahmad, and Raees Ahmad Khan. "Security assessment framework: a complexity perspective." Computer Fraud & Security 2014, no. 7 (July 2014): 13–17. http://dx.doi.org/10.1016/s1361-3723(14)70513-5.

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Sismondo, Sergio. "Bourdieu’s Rationalist Science of Science: Some Promises and Limitations." Cultural Sociology 5, no. 1 (January 31, 2011): 83–97. http://dx.doi.org/10.1177/1749975510389728.

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At several points over his career, Pierre Bourdieu articulated a framework for a sociology of science, derived mostly from a priori reasoning about scientific actors in competition for capital. This article offers a brief overview of Bourdieu’s framework, placing it in the context of dominant trends in Science and Technology Studies. Bourdieu provides an excellent justification for the project of the sociology of science, and some starting points for analysis. However, his framework suffers from his commitment to a vague evolutionary epistemology, and from his correlative and surprising neglect of science’s habituses, with their particular practices, boundaries, and political economies. To be productive, Bourdieu’s sociology of science would have to abandon its narrow rationalism and embrace the material complexity of the sciences.
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Serrano-Santoyo, Arturo. "Exploring a Framework for Innovation from the Perspective of Complexity Science." Procedia Technology 9 (2013): 139–45. http://dx.doi.org/10.1016/j.protcy.2013.12.015.

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Durmus, Deniz. "Complexity in economics and beyond: Review paper." Heritage and Sustainable Development 3, no. 1 (April 8, 2021): 34–43. http://dx.doi.org/10.37868/hsd.v3i1.51.

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Complexity and complexity economics are relatively new fields of science, both of which started at the beginning of the 1980s. As it had emerged, questions have been raised regarding complexity’s applicability on human-involved systems and its predictive powers. Economics has been in the spotlight in recent years within the framework of complexity, since economics is one of the most well-established fields in social sciences. Within this framework, the field is referred to as complexity economics. While in its early years, complexity economics research had distanced itself from the reductionist neoclassic tradition of economics that has been identified by its use of, and reliance on, descriptive equations. One of the salient feature of complexity economics is its somewhat unorthodox approach to economic systems, as in its emphasis on non-equilibria. However in recent years, the proponents have become more assertive that complexity economics needs to be more modest and symbiotically co-exist with well-established mainstream economics. Although we focus on economics under the prism of complexity, our underlying interest is in the investigation of how other disciplines, such as industrial engineering and operations research, may benefit from a similar complexity-oriented perspective. Keywords: Complexity, complexity economics, mainstream economics, equation-based economics, non-equilibrium
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Dmitriev, Andrey, Vasily Kornilov, and Svetlana Maltseva. "Complexity of a Microblogging Social Network in the Framework of Modern Nonlinear Science." Complexity 2018 (December 2, 2018): 1–11. http://dx.doi.org/10.1155/2018/4732491.

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Recent developments in nonlinear science have caused the formation of a new paradigm called the paradigm of complexity. The self-organized criticality theory constitutes the foundation of this paradigm. To estimate the complexity of a microblogging social network, we used one of the conceptual schemes of the paradigm, namely, the system of key signs of complexity of the external manifestations of the system irrespective of its internal structure. Our research revealed all the key signs of complexity of the time series of a number of microposts. We offer a new model of a microblogging social network as a nonlinear random dynamical system with additive noise in three-dimensional phase space. Implementations of this model in the adiabatic approximation possess all the key signs of complexity, making the model a reasonable evolutionary model for a microblogging social network. The use of adiabatic approximation allows us to model a microblogging social network as a nonlinear random dynamical system with multiplicative noise with the power-law in one-dimensional phase space.
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Mitic, Peter. "A complexity framework for consensus and conflict." International Journal of Design & Nature and Ecodynamics 13, no. 3 (August 30, 2018): 281–93. http://dx.doi.org/10.2495/dne-v13-n3-281-293.

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Dissertations / Theses on the topic "Complexity science framework"

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Papastefano, N., and der Walt SE Arnoldi-van. "A complexity science-based management framework for virtual organisations." African Journal of Business Management, 2010. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001182.

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Abstract The virtual organisation challenges traditional management assumptions because a new means of coordinating globally dispersed employees is needed. To understand the collective activities of a workforce separated by space and time, this paper describes a complexity science-based management framework for virtual organisations. Specific focus is on a South African virtual organisation as a complex adaptive system. A single, embedded case study strategy was followed, and multiple data sources used to generate theory. In this paper, results are reported that clarify the management of an organisation where technology replaces conventional face-toface contexts for socialisation and assimilation. The paper shows how managers create a virtual context for sharing meaning and interaction through synergy, empowerment, participation and an accountable, committed workforce.
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Ooi, James M. 1970. "A framework for low-complexity communication over channels with feedback." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10050.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (p. 181-185).
by James Meng-Hsien Ooi.
Ph.D.
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Stockton, Imogen. "Organisational resilience within a complexity science framework : A case study of Ballarat City Council." Thesis, Federation University of Ballarat, 2016. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154227.

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Understanding the resilience of organisations, their vulnerabilities and capacity to adapt to an unknown future is critical because modern society is dependent upon the continuation of these systems or alternative systems which support humans, their communities and the environment. The challenge for organisations assessing their resilience is to find a way to undertake this assessment that best meets the needs of the organisation and the context in which it operates. Thus this study aims to develop an understanding of resilience, in particular, organisational resilience and develop a means of identifying resilience in an organisation. A conceptual model of organisational resilience was developed together with an operational Framework of Analysis which was then applied to the Ballarat City Council as a single case study. The conceptual model proposes that resilience is a state of being, that is a proximity to the edge of chaos, where the connections between agents within a system are most flexible. The absence of rigid, inflexible connections enables agents within a complex adaptive system to innovate, co-evolve and adapt to changing circumstances. This is achieved by having an awareness of the fitness landscape, having the flexibility to manage vulnerabilities and being able to adapt. Coevolution, adaptation and creativity occur most readily from close proximity to the edge of chaos. Using a Critical Realist approach, the Ballarat City Council case study evaluates the Framework of Analysis. Data collection occurred over a six month period with primary sources of data being an organisational document analysis, interviews and an infrastructure assessment. The results indicate that situational awareness, the identification and management of keystone vulnerabilities and an increase in adaptive capacity act as mechanisms of adaptation and are integral to an organisation achieving a position of resilience. This research presents a new perspective to the concept of resilience, in which resilience is a position relative to the edge of chaos, rather than a process or set of characteristics.
Doctor of Philosophy
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Chan, Albert M. (Albert Michael) 1975. "A framework for low-complexity iterative interference cancellation in communication systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28537.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (p. 211-215).
Communication over interference channels poses challenges not present for the more traditional additive white Gaussian noise (AWGN) channels. In order to approach the information limits of an interference channel, interference mitigation techniques need to be integrated with channel coding and decoding techniques. This thesis develops such practical schemes when the transmitter has no knowledge of the channel. The interference channel model we use is described by r = Hx + w, where r is the received vector, H is an interference matrix, x is the transmitted vector of data symbols chosen from a finite set, and w is a noise vector. The objective at the receiver is to detect the most likely vector x that was transmitted based on knowledge of r, H, and the statistics of w. Communication contexts in which this general integer programming problem appears include the equalization of intersymbol interference (ISI) channels, the cancellation of multiple-access interference (MAI) in code-division multiple-access (CDMA) systems, and the decoding of multiple-input multiple-output (MIMO) systems in fading environments. We begin by introducing mode-interleaved precoding, a transmitter preceding technique that conditions an interference channel so that the pairwise error probability of any two transmit vectors becomes asymptotically equal to the pairwise error probability of the same vectors over an AWGN channel at the same signal-to-noise ratio (SNR). While mode-interleaved precoding dramatically increases the complexity of exact ML detection, we develop iterated-decision detection to mitigate this complexity problem. Iterated-decision detectors use optimized multipass algorithms to successively cancel interference from r and generate symbol
(cont.) decisions whose reliability increases monotonically with each iteration. When used in uncoded systems with mode-interleaved preceding, iterated-decision detectors asyrmptotically achieve the performance of ML detection (and thus the interference-free lower bound) with considerably lower complexity. We interpret these detectors as low-complexity approximations to message-passing algorithms. The integration of iterated-decision detectors into communication systems with coding is also developed to approach information rates close to theoretical limits. We present joint detection and decoding algorithms based on the iterated-decision detector with mode-interleaved precoding, and also develop analytic tools to predict the behavior of such systems. We discuss the use of binary codes for channels that support low information rates, and multilevel codes and lattice codes for channels that support higher information rates.
by Albert M. Chan.
Ph.D.
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Tisdale, Susan M. "Architecting a Cybersecurity Management Framework| Navigating and Traversing Complexity, Ambiguity, and Agility." Thesis, Robert Morris University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10825513.

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Despite advancements in technology, countermeasure, and situational awareness, cybersecurity (CS) breaches continue to increase in number, complexity, and severity. This qualitative study is one of a few to comprehensively explore CS management. The study used a systems’ approach to identify business, socioeconomic, and information technology (IT) factors, and their interrelationships. The study examined IT management frameworks and CS standards and literature. Interviews and a focus group of subject matter experts followed. The research found CS is a leadership, not a technical issue. CS is an ecosystem; its components are interrelated and inseparable, requiring qualitative, subjective, risk and knowledge management interventions. CS, IT, and threats are too complex and volatile for organizations to manage all risks and vulnerabilities in a timely, agile manner. CS lexicons lack uniformity and consistency. An IT management framework is better suited for CS. Companies must segregate and encrypt the most sensitive information and curb their appetites for new, unsecured technology. CS and IT is multilayered, requiring subspecialists, who often serve conflicting business needs and security objectives. Organizations need to minimize mid-level CS management, raise CS to a business level function (not subordinate to IT), and involve cyber specialists at all levels in the business lifecycle. Cross-pollinating people from all business areas, especially from finance, CS, and IT, increases awareness of the others’ responsibilities and obligations and facilitates more rapid portfolio, lifecycle CS activities, from investments to detection and response activities. Future studies should focus on these issues as critical success factors. Finally, the study of CS requires agile, qualitative, multidisciplinary methodology to produce thick, quick, actionable information.

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Grotsky, Dan Moshe 1971. "A new framework for making sourcing decisions regarding low-volume, high-complexity products." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/34719.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, February 2002.
Includes bibliographical references (leaves 49-50).
Compaq Computer Corporation's High Performance Systems Business Unit (HPSBU) manufactures a series of high-end computer servers called Alpha Servers. These servers are manufactured in relatively low volumes, typically for large institutions that require complex computer systems - either rapid number processing, as in scientific applications, or massive data processing, as in large database applications. They are mostly custom-configured for each customer, each server specifically assembled, and each system specifically configured to meet each customer's needs. As computer manufacturing processes become more standardized, and computers almost commoditized, it becomes impractical to manufacture all system components in-house. To that extent, Compaq has gradually outsourced more and more of the functions, which, combined, are necessary to deliver finished product to Compaq's Alpha Server customers. For instance, as computer manufacturing technology progressed, it quickly became evident, that keyboard manufacturing can, and should, be outsourced to a contract manufacturer, which can achieve economies of scale and produce large quantities of standard keyboards at minimal cost. On the other extreme, Compaq has made sure to keep most of its core competencies in-house, in order to preserve its competitive advantage. The key question faced by Compaq today is which functions to preserve in-house, and which to outsource. A new conceptual model for making this make or buy decision is presented. The purpose of this model is to raise the numerous issues at stake when considering outsourcing of a particular function, specifically when dealing with low-volume, high-complexity products, such as the Alpha Server. This model provides Compaq with a structured method of analyzing the various components that make up the finished product delivered to the customer, and deciding which need to be maintained in-house, which should be outsourced, and which of those can be outsourced. Initial model implementation was performed on the latest Alpha Server product family, dubbed Miracle for the purpose of this document.
by Dan Moshe Grotsky.
S.M.
M.B.A.
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Cintron, Jose. "A Framework for Measuring the Value-Added of Knowledge Processes with Analysis of Process Interactions and Dynamics." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5917.

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The most known and widely used methods use cash flows and tangible assets to measure the impact of investments in the organization's outputs. But in the last decade many newer organizations whose outputs are heavily dependent on information technology utilize knowledge as their main asset. These organizations' market values lie on the knowledge of its employees and their technological capabilities. In the current technology-based business landscape the value added by assets utilized for generation of outputs cannot be appropriately measured and managed without considering the role that intangible assets and knowledge play in executing processes. The analysis of processes for comparison and decision making based on intangible value added can be accomplished using the knowledge required to execute processes. The measurement of value added by knowledge can provide a more realistic framework for analysis of processes where traditional cost methods are not appropriate, enabling managers to better allocate and control knowledge-based processes. Further consideration of interactions and complexity between proposed process alternatives can yield answers about where and when investments can improve value-added while dynamically providing higher returns on investment.
Ph.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering
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Gustafsson, Adam. "An Analysis of Platform Game Design : Implementation Categories and Complexity Measurements." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35517.

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This thesis addresses design and development associated problems identified within theplatform-game genre. The problem described originates from the fluctuating curve ofinterest towards the platform-game genre that can be observed between the 1980’s andtoday. The problem stated in this thesis is that modern platform-game developers mayoften overlook and –or deprioritize important design and gameplay related componentsthat we find reoccurring in previously popular games within the genre.This thesis strives to address such problems by decomposing the developmentprocess of a platform game into a light framework titled Implementation categories. Allincluded categories represent a set of design and development related platform-gamecomponents – primarily identified through previous research in the field. In order tocreate an understanding of each category’s complexity - as well as account for thepossibilities to use the categories as a guideline when developing a platform game - aprototype game was developed. The Implementation categories included in theprototype was then measured with a set of software complexity metrics. This thesis willmotivate and explain the selection of implementation categories, account for the usageof software complexity metrics as well as present a detailed documentation of theprototype development.The result of this thesis is a thorough presentation of the Implementation categories -attached with complexity examples for each category as well as a complete gameprototype. The complete results of this thesis will hopefully be of assistance in smallscale,independent or academic game projects in regard of design, decision making,prioritization and time planning.
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Yeow, Pamela. "Individual and organisational change management strategies : a proposed framework drawn from comparative studies in complexity theory and models of stress and well-being." Thesis, University of Sheffield, 2000. http://kar.kent.ac.uk/25817/.

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Mousavi, Seyedamirhossein. "Maintainability Evaluation of Single Page Application Frameworks : Angular2 vs. React." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-60901.

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Web applications are subject to intense market forces, fast delivery and rapid requirement and code change. These are the factors that make maintainability a significant concern in any and especially web application development. In this report we develop a functional equivalent prototype from an existing Angular app, using ReactJs and afterward compare their maintainability as defined by ISO/IEC 25010. The maintainability comparison is made by calculating maintainability index for each of the applications using Plato analysis tool. The results do not show a significant difference in the calculated value of the final products. Source code analysis shows that changes in data flow need more modification in the Angular app, but with the objective oriented approach provided by Angular, we can have smaller chunks of code and thus higher maintainability per file and respectively a better average value. We conclude that regarding the lack of research and models in this area, MI is a consistent measurement model and Plato is a suitable tool for analysis. Though maintainability is highly bounded to the implementation, functionalities which are provided by the Angular framework as a bundle is more appropriate for large enterprises and complex products where React works better for smaller products.
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Books on the topic "Complexity science framework"

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Lingeman, Jesse M. Network Inference in Molecular Biology: A Hands-on Framework. New York, NY: Springer New York, 2012.

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Kampis, George. Self-modifying systems in biology and cognitive science: A new framework for dynamics, information, and complexity. Oxford: Pergamon Press, 1991.

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Kampis, G. Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity. Elsevier Science & Technology Books, 2013.

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Ladyman, James, and Karoline Wiesner. What Is a Complex System? Yale University Press, 2020. http://dx.doi.org/10.12987/yale/9780300251104.001.0001.

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What is a complex system? Although “complexity science” is used to understand phenomena as diverse as the behavior of honeybees, the economic markets, the human brain, and the climate, there is no agreement about its foundations. In this introduction for students, academics, and general readers, the authors develop an account of complexity that brings the different concepts and mathematical measures applied to complex systems into a single framework. The book begins with an overview and a brief history of complexity science. Complexity science is relatively new but already indispensable. Many of the most important problems in engineering, medicine, and public policy are now addressed with the ideas and methods of complexity science. The conceptual foundations of complexity science are disputed, and there are many and diverging views among scientists about what complexity and complex systems are. Its origins lie in cybernetics and systems theory and it is related to dynamical systems theory and the study of cellular automata. The book introduces the different features of complex systems and discusses different conceptions of complexity with the authors documenting their own account. In do so, they explain why complexity science is so important in today's world.
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Thurner, Stefan, Rudolf Hanel, and Peter Klimekl. The Future of the Science of Complex Systems? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.003.0007.

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The chapter is a mini outlook on the field. The classic achievenments in complexity science are mentioned, and we summarize how the new directions contained in this book might open new doors into a truly twenty-first-century science of complex systems.We do that by clarifying the origin of scaling laws, in particular for driven non-equilibrium systems, deriving the statistics of driven systems on the basis of driving and relaxing processes, categorizing probabilistic complex systems into universality classes, by developing ways for meaningful generalizations of statistical mechanics, and information theory so that they become useful for complex systems, and finally, by unifying the different approaches to evolution and co-evolution into a single mathematical framework that can serve as the basis for understanding co-evolutionary dynamics of states and interactions. We comment on our view of the role of artificial intelligence and our opinion on the future of science of complex systems.
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McGreavy, Bridie, and David Hart. Sustainability Science and Climate Change Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.563.

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Direct experience, scientific reports, and international media coverage make clear that the breadth, severity, and multiple consequences from climate change are far-reaching and increasing. Like many places globally, the northeastern United States is already experiencing climate change, including one of the world’s highest rates of ocean warming, reduced durations of winter ice cover on lakes, a marked increase in the frequency of extreme precipitation events, and climate-mediated ecological disruptions of invasive species. Given current and projected changes in ecosystems, communities, and economies, it is essential to find ways to anticipate and reduce vulnerabilities to change and, at the same time, promote sustainable economic development and human well-being.The emerging field of sustainability science offers a promising conceptual and analytic framework for accelerating progress towards sustainable development. Sustainability science aims to be use-inspired and to connect basic and applied knowledge with solutions for societal benefit. This approach draws from diverse disciplines, theories, and methods organized around the broad goal of maintaining and improving life support systems, ecosystem health, and human well-being. Partners in New England have been using sustainability science as a framework for stakeholder-engaged, interdisciplinary research that has generated use-inspired knowledge and multiple solutions for more than a decade. Sustainability science has helped produce a landscape-scale approach to wetland conservation; emergency response plans for invasive species that threaten livelihoods and cultures; decision support tools for improved water quality management and public health for beach use and shellfish consumption; and the development of robust partnership networks across disciplines and institutions. Understanding and reducing vulnerability to climate change is a central motivating factor in this portfolio of projects because linking knowledge about social-ecological systems with effective policy action requires a holistic view that addresses complex intersecting stressors.One common theme in these varied efforts is the way that communication fundamentally shapes collaborative research and social, technical, and policy outcomes from sustainability science. Communication as a discipline has, for more than two thousand years, sought to understand how environments and symbols shape human life, forms of social organization, and collective decision making. The result is a body of scholarship and practical techniques that are diverse and well adapted to meet the complexity of contemporary sustainability challenges. The complexity of the issues that sustainability science aspires to solve requires diversity and flexibility to be able to adapt approaches to the specific needs of a situation. Long-term, cross-scale, and multi-institutional sustainability science collaborations show that communication research and practice can help build communities and networks, and advance technical and policy solutions to confront the challenges of climate change and promote sustainability now and in future.
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Richard, Johnson. Frameworks of Culture and Power: Complexity and Politics in Cultural Studies. Taylor & Francis Group, 1996.

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E, Johnson Richard. Frameworks of Culture and Power: Complexity and Politics in Cultural Studies. Taylor & Francis Group, 1996.

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Hoel, Jon. Stalker. Liverpool University Press, 2021. http://dx.doi.org/10.3828/liverpool/9781800348332.001.0001.

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This book examines Andrei Tarkovsky’s film Stalker, one of the most powerful science-fiction films ever made, with the goal of unraveling the film’s many intricacies, from its difficult production and inspecting its many cinematic elements. Included are examinations of composition and cinematography, the many philosophies, poetic and literary influences, and the enormity of its influence across the following generations. The film juxtaposes its speculative elements with a gripping tale of human fragility and introspection. It is as much a movie about the complexity of the human as it is the mysteriousness of the film’s labyrinthine landscape: the ambiguous Zone and its epicenter, the Room of Desire. Stalker challenges us to engage with film in a different way: taking the sensuous and the analytical viewers to task and presenting a narrative that is both deeply pessimistic and yet profoundly hopeful and embedded in a framework of the deepest and most sincere form of faith. The resulting experience is a film viewing unlike any the viewer has experienced before, irrevocably altering cinema forever.
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Lorino, Philippe. Pragmatism and Organization Studies. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753216.001.0001.

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The development of pragmatist thought (Peirce, James, Dewey, and Mead) in the first half of the twentieth century in the United States deeply impacted political science, semiotics, philosophy, psychology, sociology, education, law. Later intellectual trends (analytical philosophy, structuralism, cognitivism) focusing on rational representations or archetypical models somehow sidelined Pragmatism for three decades. In the world of organizations, they often conveyed the Cartesian dream of rational control, which became the mainstream view in management and organization research. In response to the growing uncertainty and complexity of situations, social sciences have experienced a “pragmatist turn.” Many streams of organization research have criticized the view of organizations as information-processing structures, controlled through rational representations. They share some key theoretical principles: the processual view of organizing as “becoming”; the emphasis on the key role of action; the agential power of objects; the exploratory and inquiring nature of organizing. These are precisely the key theses of pragmatists, who formulated a radical critique of the dualisms which hinder organization studies (thought/action, decision/execution, reality/representation, individual/collective, micro/macro) and developed key concepts applicable to organization studies (inquiry, semiotic mediation, habit, abduction, trans-action, valuation). This book aims to make the pragmatist intellectual framework more accessible to organization and management scholars. It presents some fundamental pragmatist concepts, and their potential application to the study of organizations, drawing conclusions concerning managerial practices, in particular the critique of the Taylorian tradition and the promotion of continuous improvement. To enhance accessibility, each theme is illustrated by real cases experienced by the author.
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Book chapters on the topic "Complexity science framework"

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Mahmood, Yasir, Arne Meier, and Johannes Schmidt. "Parameterised Complexity of Abduction in Schaefer’s Framework." In Logical Foundations of Computer Science, 195–213. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36755-8_13.

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Kerner, Boris S. "Autonomous Driving in the Framework of Three-Phase Traffic Theory." In Encyclopedia of Complexity and Systems Science, 1–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-27737-5_724-1.

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Oliver, Nuria. "When Philanthropy Meets Data Science: A Framework for Governance to Achieve Data-Driven Decision-Making for Public Good." In SpringerBriefs in Complexity, 55–68. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78985-5_5.

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Kuchibatla, Vithal, and Héctor Muñoz-Avila. "An Analysis on Transformational Analogy: General Framework and Complexity." In Lecture Notes in Computer Science, 458–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11805816_34.

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Tian, Junfang, Chenqiang Zhu, and Rui Jiang. "Cellular Automaton Models in the Framework of Three-Phase Traffic Theory." In Encyclopedia of Complexity and Systems Science, 1–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-27737-5_670-1.

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Janssen, Michael, Andrew Drenner, and Nikolaos Papanikolopoulos. "Distributed Robotic Teams: A Framework for Simulated and Real-World Modeling." In Encyclopedia of Complexity and Systems Science, 2072–89. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_130.

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Dominici, Gandolfo, and Vasja Roblek. "Complexity Theory for a New Managerial Paradigm: A Research Framework." In Contributions to Management Science, 223–41. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18185-1_14.

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Schmidt, Jonas, Thomas Schwentick, Till Tantau, Nils Vortmeier, and Thomas Zeume. "Work-sensitive Dynamic Complexity of Formal Languages." In Lecture Notes in Computer Science, 490–509. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71995-1_25.

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AbstractWhich amount of parallel resources is needed for updating a query result after changing an input? In this work we study the amount of work required for dynamically answering membership and range queries for formal languages in parallel constant time with polynomially many processors. As a prerequisite, we propose a framework for specifying dynamic, parallel, constant-time programs that require small amounts of work. This framework is based on the dynamic descriptive complexity framework by Patnaik and Immerman.
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Lambov, Branimir. "Complexity and Intensionality in a Type-1 Framework for Computable Analysis." In Computer Science Logic, 442–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538363_31.

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Pham, Lam, Hieu Tang, Anahid Jalali, Alexander Schindler, Ross King, and Ian McLoughlin. "A Low-Complexity Deep Learning Framework For Acoustic Scene Classification." In Data Science – Analytics and Applications, 26–32. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36295-9_4.

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Conference papers on the topic "Complexity science framework"

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Leonor, Bruno B. F., Walter A. dos Santos, Asiel Bomfin, and Reinaldo R. Rosa. "A WEB FRAMEWORK FOR ADVANCED AND INTENSIVE NONLINEAR TIME SERIES ANALYSIS." In 6th International Conference on Nonlinear Science and Complexity. São José dos Campos, Brazil: INPE Instituto Nacional de Pesquisas Espaciais, 2016. http://dx.doi.org/10.20906/cps/nsc2016-0023.

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A. N., Rybalov. "GENERIC COMPLEXITY OF ALGORITHMIC PROBLEMS." In Mechanical Science and Technology Update. Omsk State Technical University, 2022. http://dx.doi.org/10.25206/978-5-8149-3453-6-2022-10-14.

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Generic approach is one of the approaches to the study of algorithmic problems for almost all inputs, born at the intersection of computational algebra and computer science. Within the framework of this approach, algorithms are studied that solve a problem for almost all inputs, and for the remaining rare inputs give an undefined answer. This review reflects two areas of research of generic complexity of algorithmic problems in algebra, mathematical logic, number theory, and theoretical computer science. The first direction is devoted to the construction of generic algorithms for problems that are unsolvable and hard in the classical sense. In the second direction, algorithmic problems are sought that remain unsolvable or hard even in the generic sense. Such problems are important in cryptography.
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Gill, Grandon, and Richard Hicks. "Task Complexity and Informing Science: A Synthesis." In InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/3045.

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Task complexity is a construct widely used in the behavioral sciences to explore and predict the relationship between task characteristics and information processing. Because the creation and use of IT in the performance of tasks is a central area of informing science (IS) research, it follows that better understanding of task complexity should be of great potential benefit to IS researchers and practitioners. Unfortunately, applying task complexity to IS is difficult because no complete, consistent definition exists. Furthermore, the most commonly adopted definition, objective task complexity, tends to be of limited use in situations where discretion or learning is present, or where information technology (IT) is available to assist the task performer. These limitations prove to be severe in many common IS situations. The paper presents a literature review identifying thirteen distinct definitions of task complexity, then synthesizes these into a new five-class framework, referred to as the Comprehensive Task Complexity Classes (CTCC). It then shows the potential relevance of the CTCC to IS, focusing on different ways it could be applied throughout a hypothetical information systems lifecycle. In the course of doing so, the paper also illustrates how the interaction between different classes of task complexity can serve as a rich source of questions for future investigations.
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Modrak, V., and D. Marton. "A framework for generating and complexity assessment of assembly supply chains." In 2012 IEEE 4th International Conference on Nonlinear Science and Complexity (NSC). IEEE, 2012. http://dx.doi.org/10.1109/nsc.2012.6304712.

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Lin, Hong-Li, Yu-Ming Zhu, Naveed Ahmad, and Qing-Ye Han. "A Research Framework of Conflict Complexity for Brownfield Redevelopment: A Social Network Perspective." In 2017 International Conference on Management Science and Engineering (ICMSE). IEEE, 2017. http://dx.doi.org/10.1109/icmse.2017.8574449.

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Camba, Jorge D., Manuel Contero, David Pérez-López, and Pedro Company. "A Database Framework for the Characterization and Classification of Parametric Models Based on Complexity Metrics to Support Data Analytics." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2812.

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Abstract We present a database architecture for exploring, classifying, and visualizing feature-based parametric CAD models based on quantitative complexity metrics. The system consists of (1) an external relational database structure where models are stored along with their graph representation and the numerical values of each complexity metric, (2) a client module that is integrated in the user’s CAD system and facilitates navigation within the repository, and (3) a report generation module that allows exporting CAD complexity data from the external repository to other applications for validation and analysis. In this paper, we justify the need for our system in the context of data analytics and discuss the rationale of its design as well as its architecture and implementations details. Finally, we describe a use case that illustrates the application of our framework in the characterization and evaluation of CAD models.
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Kumar, Avadhesh, Rajesh Kumar, and P. S. Grover. "Notice of Violation of IEEE Publication Principles - Towards a Unified Framework for Complexity Measurement in Aspect-Oriented Systems." In 2008 International Conference on Computer Science and Software Engineering (CSSE 2008). IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.1428.

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C. Leonard, A. "Physical and Abstract Elements that Support Cooperation between Team Members During Systems Development." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2393.

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This paper addresses the problem of cooperation between team members by describing two dimensions of elements, namely the physical and abstract dimension, to be focused on by all participants of a systems development team. A conceptual framework is introduced which describes these two dimensions. In the second part of the paper the nature of and theory behind sound relationships between team members of software projects are examined. The conceptual framework shows the position and relationship of each element during systems development process. This conceptual framework helps managers to understand the complexity of such relationships and it gives a structured view of the role of the elements of the two dimensions during systems development.
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Linke, Barbara S., and Shivam Gupta. "Product Life-Cycle Energy Framework in Friction Scenarios." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85263.

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Abstract Manufacturers have great power to change the sustainability of products over the whole life cycle, but they need holistic life cycle models to guide those decisions. Challenges exist in connecting the product’s life cycle data to model-based sustainability metrics and in quantifying uncertainty in the product data. This study develops a life-cycle energy framework around two application cases to showcase informed and transparent decision-making. The case studies investigate additively manufactured parts in two friction scenarios, one where low friction is desired and one where high friction is preferred. The layer height is chosen as process parameter of additive manufacturing that changes the surface roughness of the sample parts, but also the manufacturing time and energy. The use phase energy in the first friction scenario is influenced by the user behavior, and by a random input function in the second scenario. The life-cycle energy framework is used to discuss total life cycle energy for each scenario. In general, this framework should be used to better connect product use phase and manufacturing phase, in particular by examining the interconnections of part design, manufacturing phase impacts, and use performance. Product quality is the central aspect of optimization. The framework can be used for engineering education and be expanded to study data uncertainty, user behavior, system complexity, process chains, machine learning, sustainability metrics, and more.
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Gill, Grandon, Matthew Mullarkey, Joseph E Mohr, and Moez Limayem. "Building an Informing Business School: A Case Study of USF's Muma College of Business." In InSITE 2016: Informing Science + IT Education Conferences: Lithuania. Informing Science Institute, 2016. http://dx.doi.org/10.28945/3427.

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[This paper is published in Informing Science: the International Journal of an Emerging Transdiscipline, Volume 19.] As the complexity of a system grows, the challenge of informing the stakeholders of that system grows correspondingly. Nowhere is that challenge more daunting than in business education, where globalization, technological innovation, and increasingly complicated regulations continuously transform the business environment facing graduates and practitioners. Informing science theory proposes that different levels of complexity require different channels if effective informing is to be achieved. The paper first examines how two important sources of complexity—the diversity of clients and the ruggedness of the business landscape—are changing, and how these changes demand vastly more interactive informing channels if impact is to be achieved. Using an exploratory case study methodology, it then takes a detailed look at how one institution—the University of South Florida’s Muma College of Business—has introduced a variety of new channels, many of which enable informing flows without necessarily directing them, to adapt to these environmental changes. It then considers both outcomes related to these individual informing channels and college-wide outcomes related to a broad and deep mosaic of informing flows. Finally, it considers the question of the resources required to support these new channels and the relationship between resource acquisition and channel introduction. The proposed framework for looking at business school informing channels can be applied by administrators, faculty members, and key stakeholders in understanding, evaluating, and planning programs and activities supporting informing in a complex environment. Ultimately, the informing business school framework may also provide a means for communicating impact to business school accrediting agencies (such as AACSB).
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Reports on the topic "Complexity science framework"

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Lawton, Craig R. A complexity science-based framework for global joint operations analysis to support force projection: LDRD Final Report. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1167408.

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Howard, Adam, Jang Pak, David May, Stanford Gibson, Chris Haring, Brian Alberto, and Michael Haring. Approaches for assessing riverine scour. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40702.

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Calculating scour potential in a stream or river is as much a geomorphological art as it is an exact science. The complexity of stream hydraulics and heterogeneity of river-bed materials makes scour predictions in natural channels uncertain. Uncertain scour depths near high-hazard flood-risk zones and flood-risk management structures lead to over-designed projects and difficult flood-risk management decisions. This Regional Sediment Management technical report presents an approach for estimating scour by providing a decision framework that future practitioners can use to compute scour potential within a riverine environment. This methodology was developed through a partnership with the US Army Engineer Research and Development Center, Hydrologic Engineering Center, and St. Paul District in support of the Lower American River Contract 3 project in Sacramento, CA.
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Goncharenko, Tatiana, Nataliia Yermakova-Cherchenko, and Yelyzaveta Anedchenko. Experience in the Use of Mobile Technologies as a Physics Learning Method. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4468.

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Swift changes in society, related to sciences technicians’ development, technologies, by the increase of general volume of information, pull out new requirements for maintenance, structure, and quality of education. It requires teachers to diversify a tool in the direction of the increase in possibilities of the use of mobile technologies and computer systems. Lately in the world, more attention spared to the use of mobile learning, which in obedience to «Recommendations of UNESCO on the questions of a policy in the area of mobile learning» foresees the use of mobile technology, both separate and together with other by informational computer technologies. [1]. Mobile learning allows using the open informational systems, global educational networks, unique digital resources which belong to different educational establishments and co-operate with each other. The use of existent educational resources and creation of own, based on the academic resources from informative space, allows to promote the interest of students to the study of physics, to take into account the individual features, and also features of region and framework of society of the country. During the last years in Ukraine competency-based approach to the organization of studies certainly one of basic. The new Education Act addresses the key competencies that every modern person needs for a successful life, including mathematical competence; competence in natural sciences, engineering, and technology; innovation; information and communication competence [2]. This further emphasizes the importance of providing students with quality physical education and the problems associated with it. Using mobile technology in professional teaching work, the teacher has the opportunity to implement the basic principles of the competence approach in teaching physics. An analysis of the data provided in the official reports of the Ukrainian Center for Educational Quality Assessment showed that the number of students making an external independent assessment in physics and choosing a future profession related to physics has decreased significantly. This is due to the loss of students' interest in physics and the complexity of the content of the subject, as well as the increase in the amount of information that students need to absorb. In this article, we explore the possibilities of mobile technology as a means of teaching physics students and give our own experience of using mobile technology in the process of teaching physics (for example, the optics section in primary school).
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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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