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Cloudera Administration Handbook
by Rohit MenonAn easy-to-follow Apache Hadoop administrator's guide filled with practical screenshots and explanations for each step and configuration. This book is great for administrators interested in setting up and managing a large Hadoop cluster. If you are an administrator, or want to be an administrator, and you are ready to build and maintain a production-level cluster running CDH5, then this book is for you.
Cloudera Impala
by John RussellLearn about Cloudera Impala--an open source project that's opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. The Impala massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible to analysts familiar with SQL and to users of business intelligence tools--and it’s fast enough to be used for interactive exploration and experimentation.
Cloudmoney: Cash, Cards, Crypto, and the War for Our Wallets
by Brett ScottThe reach of Corporations into our lives via cards and apps has never been greater; many of us rarely use cash these days. But what we’re told is a natural and inevitable move is actually the work of powerful interests. And the great battle of our time is the battle for ownership of the digital footprints that make up our lives.In Cloudmoney, Brett Scott tells an urgent and revelatory story about how the fusion of Big Finance and Big Tech requires “cloudmoney”—digital money underpinned by the banking sector—to replace physical cash. He dives beneath the surface of the global financial system to uncover a long-established lobbying infrastructure: an alliance of partners waging a covert war on cash. He explains the technical, political, and cultural differences between our various forms of money and shows how the cash system has been under attack for decades, as banking and tech companies promote a cashless society under the banner of progress.Cloudmoney takes us to the front lines of a war for our wallets that is also about our freedom, from marketing strategies against cash to the weaponization of COVID-19 to push fintech platforms, and from there to the rise of the cryptocurrency rebels and fringe groups pushing back. It asks the most pressing questions:Who benefits from a cashless society and who gets left behind?Is the end of cash the end of true privacy?And is our cloudmoney future closer than we think it is?
Cloudmoney: Efectivo, tarjetas, criptomonedas y la lucha por nuestras carteras
by Brett Scott¿Quién se beneficia de una sociedad sin efectivo? ¿Es el fin del dinero físico el fin de la verdadera privacidad? ¿El monopolio de las criptomonedas está más cerca de lo que pensamos? Hoy en día, muchos de nosotros apenas utilizamos dinero en efectivo y lo pagamos casi todo con tarjetas de crédito o aplicaciones del móvil. Es decir, con dinero digital. Sin embargo, lo que a todos nos parece cómodo, natural e inevitable resulta ser, fundamentalmente, el producto de poderosos intereses y manipulaciones. Cloudmoney es la enloquecedora crónica de este cambio de paradigma. Brett Scott ha buceado bajo la superficie del sistema financiero global para mostrarnos cómo las altas finanzas y las grandes compañías tecnológicas se han aliado con el objetivo de remplazar el dinero físico por el dinero digital, supuestamente en pro de una escurridiza visión de progreso, y cómo ese proceso no es más que una guerra encubierta por nuestros bolsillos y, en última instancia, por nuestra libertad. ¿Es de verdad preferible una sociedad sin efectivo, o supone el fin del dinero físico el fin de la verdadera privacidad? Ese futuro sin metálico, ¿está más cerca de lo que pensamos o aún hay tiempo para cambiar el rumbo? Un libro fundamental para entender qué es el dinero, en qué puede llegar a convertirse y cómo podemos salvarnos de las garras de las poderosas fintech. La crítica ha dicho:«Un texto maravillosamente revolucionario».Yanis Varoufakis «Te han llenado la cabeza con falsedades y confusión sobre el dinero. Este libro sobresaliente te ayudará a entender cómo ha sucedido, quién se beneficia de nuestra ignorancia financiera colectiva y cuál es la mejor manera de contratacar».Raj Patel, autor de Obesos y famélicos «En un libro que es a la vez irreverente, contundente y entretenido, Brett Scott hace añicos los mitos convencionales sobre el dinero en efectivo, el dinero digital y las criptomonedas».Stephanie Kelton, autora de El mito del déficit «Cloudmoney es un libro brillante, fascinante y totalmente accesible: una guía pionera y política de la red de finanzas globales en rápida evolución. Combinando la visión antropológica con la perspicacia financiera de un experto en elsector, Brett Scott expone una visión a largo plazo de cómo la tecnología y las finanzas se están fusionando rápidamente para potenciar el capitalismo corporativo».Kate Raworth, autora de Economía rosquilla «Con este maravilloso, lúcido e importante libro, Brett Scott apunta alto. Compra un ejemplar y asegúrate de pagar en efectivo».Nicholas Shaxson, autor de Las islas del tesoro «Una importante reflexión sobre el nuevo mundo de las finanzas».Lionel Barber, The Financial Times «La carrera hacia una sociedad sin efectivo no tiene nada que ver con la comodidad. Se trata de poder. Brett Scott se desmarca del relato oficial con esta inteligente crítica al dinero digital y al auge de los imperios de la tecnología financiera, al tiempo que ofrece una convincente visión alternativa. No te pierdas este libro».Jason Hickel, autor de Less is More
Cloudonomics
by Joe WeinmanThe ultimate guide to assessing and exploiting the customer value and revenue potential of the CloudA new business model is sweeping the world--the Cloud. And, as with any new technology, there is a great deal of fear, uncertainty, and doubt surrounding cloud computing. Cloudonomics radically upends the conventional wisdom, clearly explains the underlying principles and illustrates through understandable examples how Cloud computing can create compelling value--whether you are a customer, a provider, a strategist, or an investor. Cloudonomics covers everything you need to consider for the delivery of business solutions, opportunities, and customer satisfaction through the Cloud, so you can understand it--and put it to work for your business. Cloudonomics also delivers insight into when to avoid the cloud, and why.Quantifies how customers, users, and cloud providers can collaborate to create win-winsReveals how to use the Laws of Cloudonomics to define strategy and guide implementationExplains the probable evolution of cloud businesses and ecosystemsDemolishes the conventional wisdom on cloud usage, IT spend, community clouds, and the enterprise-provider cloud balanceWhether you're ready for it or not, Cloud computing is here to stay. Cloudonomics provides deep insights into the business value of the Cloud for executives, practitioners, and strategists in virtually any industry--not just technology executives but also those in the marketing, operations, economics, venture capital, and financial fields.
Club College
by Andrew S RosenClub College is a chapter excerpt from Change.edu coming out October 18, 2011.On college campuses nationwide, luxury and learning go hand-in-hand, keeping the price tag for higher education out of reach for many Americans. Education innovator, and chairman and CEO of Kaplan, Inc., Andrew S. Rosen examines today's resort-style campus, providing inspiring solutions for stopping the spending spirals and making college affordable for all. Despite the financial crunch, many American universities have become surprisingly lavish over the past decade, providing state-of-the-art recreation facilities, bistro-style dining, spectacular residence halls that rival fine hotels, and "free" amenities such as Kindles, not to mention multi-million-dollar stadiums and coaches' salaries starting in the high six figures. Showcasing these extraordinary campuses, "Club College" captures the new economic models of higher education, which often divert funds from academics to gain a competitive edge in attracting an elite group of students. On this fascinating tour, Andrew S. Rosen proposes bold new alternatives that focus our nation's dollars on learning.Poised to spark a dialogue about our nation's higher education system, "Club College" makes the classroom the centerpiece of college once again, opening doors to careers for a broad range of talented individuals--arguably our greatest economic asset.
Cluster Analysis and Applications
by Francisco Martínez-Álvarez Rudolf Scitovski Kristian Sabo Šime UngarWith the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields.Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods.With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.
Clustering High--Dimensional Data: First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers (Lecture Notes in Computer Science #7627)
by Francesco Masulli Alfredo Petrosino Stefano RovettaThis book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
by Olfa Nasraoui Chiheb-Eddine Ben N'CirThis book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
Clustering Techniques for Image Segmentation
by Abid Yahya Fasahat Ullah SiddiquiThis book presents the workings of major clustering techniques along with their advantages and shortcomings. After introducing the topic, the authors illustrate their modified version that avoids those shortcomings. The book then introduces four modified clustering techniques, namely the Optimized K-Means (OKM), Enhanced Moving K-Means-1(EMKM-1), Enhanced Moving K-Means-2(EMKM-2), and Outlier Rejection Fuzzy C-Means (ORFCM). The authors show how the OKM technique can differentiate the empty and zero variance cluster, and the data assignment procedure of the K-mean clustering technique is redesigned. They then show how the EMKM-1 and EMKM-2 techniques reform the data-transferring concept of the Adaptive Moving K-Means (AMKM) to avoid the centroid trapping problem. And that the ORFCM technique uses the adaptable membership function to moderate the outlier effects on the Fuzzy C-meaning clustering technique. This book also covers the working steps and codings of quantitative analysis methods. The results highlight that the modified clustering techniques generate more homogenous regions in an image with better shape and sharp edge preservation.Showcases major clustering techniques, detailing their advantages and shortcomings;Includes several methods for evaluating the performance of segmentation techniques;Presents several applications including medical diagnosis systems, satellite imaging systems, and biometric systems.
Clustering and Routing Algorithms for Wireless Sensor Networks: Energy Efficiency Approaches
by Pratyay Kuila Prasanta K JanaWireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.
Clustering for 21st Century Prosperity: Summary of a Symposium
by Charles W. WessnerResponding to the challenges of fostering regional growth and employment in an increasingly competitive global economy, many U. S. states and regions have developed programs to attract and grow companies as well as attract the talent and resources necessary to develop regional innovation clusters. These state and regionally based initiatives have a broad range of goals and increasingly include larger resources commitments, often with a sectoral focus and often in partnership with foundations and universities. Recent studies, however, have pointed out that many of these efforts lack the scale and the steady commitment needed for success. This has prompted new initiatives to coordinate and concentrate investments from a variety of federal agencies to develop research parks, business incubators, and other strategies to encourage entrepreneurships and high-tech development in the nation's regions. Understanding the nature of innovation clusters and public policies associated with successful cluster development is therefore of current relevance. Clustering for 21st Century Prosperity identifies best practices with regard to goals, structures, instruments, modes of operation, synergies across private and public programs, funding mechanisms and levels, and evaluation efforts. The committee, under the Board on Science, Technology, and Economic Policy (STEP) is reviewing selected state and regional efforts to capitalize on federal and state investments in areas of critical national needs. This review includes both efforts to strengthen existing industries as well as specific technology focus areas such as nanotechnology, stem cells, and advanced energy in order to better understand program goals, challenges, and accomplishments. As part of this study, the committee is convening a series of public workshops and symposia involving responsible local, state, and federal officials and other stakeholders. Drawing from discussions at these symposia, fact-finding meetings, and commissioned analyses of existing state and regional programs and technology focus areas, the committee will subsequently produce a final report with findings and recommendations focused on lessons, issues, and opportunities for complementary U. S. policies created by these state and regional initiatives.
Clustering in Bioinformatics and Drug Discovery (Chapman & Hall/CRC Computational Biology Series)
by John David MacCuish Norah E. MacCuishWith a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.Setting the stage for subsequent material, the firs
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks (SpringerBriefs in Applied Sciences and Technology)
by Oscar Castillo Patricia Melin Martha RamirezThis book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life). The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.
Clustering: A Data Recovery Approach, Second Edition
by Boris MirkinOften considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning req
Clustermanagement in der Praxis: Transformation
by Thomas Wolf Gerd Meier zu KöckerIn der regionalen Wirtschaftsentwicklung nehmen Clusterinitiativen eine große Bedeutung ein, gerade wenn es um die Steigerung von Innovationskraft bei kleineren und mittleren Unternehmen geht. Doch wie lassen sich Clusterinitiativen sinnvoll als Instrument in die Regionalentwicklung einbetten und wie kann gutes Clustermanagement als zentrale Schlüsselfunktion aussehen, damit die Netzwerke ihr volles Potenzial entfalten können? In den letzten Jahren gab es vermehrt gelungene Beispiele dafür, wie Clusterinitiativen Mehrwerte im Sinne ihrer Akteure generieren können. Dieses Buch stellt erfolgreiche Transformationen von Clusterinitiativen vor und gibt einen Überblick über die Chancen und Herausforderungen im täglichen Geschäft. Es bietet eine praxisorientierte Hilfestellung und viele Best-Practice-Beispiele speziell für Clustermanager, aber auch für Wirtschaftsförderungen, Kommunen, Verwaltung, Unternehmen, Wissenschaft, Verbände und Vereine.
Clusters, Orders, and Trees: In Honor of Boris Mirkin's 70th Birthday (Springer Optimization and Its Applications #92)
by Panos M. Pardalos Boris Goldengorin Fuad AleskerovThe volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin's ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures--first of all, clusters, orderings and hierarchies--in multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted in Mirkin's fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining and knowledge discovery. Researchers, students and software engineers will benefit from new knowledge discovery techniques and application directions.
Cmptr³: Computer Applications and Concepts
by Katherine T. Pinard Robin M. Romer Deborah MorleyCMPTR's easy-reference, paperback book presents course content through visually engaging chapters as well as Chapter Review Cards that consolidate the most important material into a ready-made study tool. CMPTR introduces the latest updates in Microsoft Office, including Windows 10, Edge web browser, and Office 2016 applications with fun facts, tips, and walk-through videos.
Co-Clustering: Models, Algorithms and Applications (Focus Ser.)
by Gérard Govaert Mohamed NadifCluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the two-mode partitioning under different approaches, but pay particular attention to a probabilistic approach. Chapter 1 concerns clustering in general and the model-based clustering in particular. The authors briefly review the classical clustering methods and focus on the mixture model. They present and discuss the use of different mixtures adapted to different types of data. The algorithms used are described and related works with different classical methods are presented and commented upon. This chapter is useful in tackling the problem of co-clustering under the mixture approach. Chapter 2 is devoted to the latent block model proposed in the mixture approach context. The authors discuss this model in detail and present its interest regarding co-clustering. Various algorithms are presented in a general context. Chapter 3 focuses on binary and categorical data. It presents, in detail, the appropriated latent block mixture models. Variants of these models and algorithms are presented and illustrated using examples. Chapter 4 focuses on contingency data. Mutual information, phi-squared and model-based co-clustering are studied. Models, algorithms and connections among different approaches are described and illustrated. Chapter 5 presents the case of continuous data. In the same way, the different approaches used in the previous chapters are extended to this situation. Contents 1. Cluster Analysis. 2. Model-Based Co-Clustering. 3. Co-Clustering of Binary and Categorical Data. 4. Co-Clustering of Contingency Tables. 5. Co-Clustering of Continuous Data. About the Authors Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXtureMODelling) software. Mohamed Nadif is Professor at the University of Paris-Descartes, France, where he is a member of LIPADE (Paris Descartes computer science laboratory) in the Mathematics and Computer Science department. His research interests include machine learning, data mining, model-based cluster analysis, co-clustering, factorization and data analysis. Cluster Analysis is an important tool in a variety of scientific areas. Chapter 1 briefly presents a state of the art of already well-established as well more recent methods. The hierarchical, partitioning and fuzzy approaches will be discussed amongst others. The authors review the difficulty of these classical methods in tackling the high dimensionality, sparsity and scalability. Chapter 2 discusses the interests of coclustering, presenting different approaches and defining a co-cluster. The authors focus on co-clustering as a simultaneous clustering and discuss the cases of binary, continuous and co-occurrence data. The criteria and algorithms are described and illustrated on simulated and real data. Chapter 3 considers co-clustering as a model-based co-clustering. A latent block model is defined for different kinds of data. The estimation of parameters and co-clustering is tackled under two approaches: maximum likelihood and classification maximum likelihood. Hard and soft algorithms are described and applied on simulated and real data. Chapter 4 considers co-clustering as a matrix approximation. The trifactorization approach is considered and algorithms based on update rules are described. Links with numerical and probabi
Co-Creating Digital Curricula in Higher Education: An Instructor’s Guide to Team-Based Online Learning Design
by Alain A. Noghiu Amy J. Hilbelink Stacey von BergerCo-Creating Digital Curricula in Higher Education is a step-by-step guide to the collaborative design of online and blended curricula in higher education using systematic yet flexible frameworks. While instructors charged with developing and delivering curricula in the remote era may lack formal credentials in learning design, technology management, and institutional leadership, they nonetheless have numerous opportunities to partner with stakeholders who do. This practical, actionable workbook empowers and upskills teaching faculty to partner with their fellow professionals—instructional designers, lead administrators, librarians, and other student support personnel—in co-creative design endeavors that foster outstanding curricula and engaged, successful learners. This holistic, team-oriented approach, intended to ensure curricular cohesion within and between courses, certificates, and programs, is supported by workflows, checklists, workshop agendas, and other field-tested resources.
Co-Intelligence: Living and Working With AI
by Ethan MollickFrom Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI <p><p> Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. <p><p> In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it’s imperative that we master that skill. <p><p> Mollick challenges us to utilize AI’s enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era. <p> <b>New York Times Bestseller</b>
Co-creating Digital Public Services for an Ageing Society: Evidence for User-centric Design (Public Administration and Information Technology #6)
by Juliane JarkeThis open access book attends to the co-creation of digital public services for ageing societies. Increasingly public services are provided in digital form; their uptake however remains well below expectations. In particular, amongst older adults the need for public services is high, while at the same time the uptake of digital services is lower than the population average. One of the reasons is that many digital public services (or e-services) do not respond well to the life worlds, use contexts and use practices of its target audiences. This book argues that when older adults are involved in the process of identifying, conceptualising, and designing digital public services, these services become more relevant and meaningful.The book describes and compares three co-creation projects that were conducted in two European cities, Bremen and Zaragoza, as part of a larger EU-funded innovation project. The first part of the book traces the origins of co-creation to three distinct domains, in which co-creation has become an equally important approach with different understandings of what it is and entails: (1) the co-production of public services, (2) the co-design of information systems and (3) the civic use of open data. The second part of the book analyses how decisions about a co-creation project’s governance structure, its scope of action, its choice of methods, its alignment with strategic policies and its embedding in existing public information infrastructures impact on the process and its results. The final part of the book identifies key challenges to co-creation and provides a more general assessment of what co-creation may achieve, where the most promising areas of application may be and where it probably does not match with the contingent requirements of digital public services. Contributing to current discourses on digital citizenship in ageing societies and user-centric design, this book is useful for researchers and practitioners interested in co-creation, public sector innovation, open government, ageing and digital technologies, citizen engagement and civic participation in socio-technical innovation.
Co-creating for Context in the Transfer and Diffusion of IT: IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2022, Maynooth, Ireland, June 15–16, 2022, Proceedings (IFIP Advances in Information and Communication Technology #660)
by Yogesh K. Dwivedi Brian Donnellan David Wastell Amany Elbanna Shane McLoughlinThis volume, IFIP AICT 660, constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference "Co-creating for Context in Prospective Transfer and Diffusion of IT" on Transfer and Diffusion of IT, TDIT 2022, held in Maynooth, Ireland, during June 15–16, 2022.The 19 full papers and 10 short papers presented were carefully reviewed and selected from 60 submissions. The papers focus on the re-imagination of diffusion and adoption of emerging technologies. They are organized in the following parts:
Co-evolution of Intelligent Socio-technical Systems: Modelling and Applications in Large Scale Emergency and Transport Domains (Understanding Complex Systems)
by Evangelia Mitleton-KellyAs the interconnectivity between humans through technical devices is becoming ubiquitous, the next step is already in the making: ambient intelligence, i.e. smart (technical) environments, which will eventually play the same active role in communication as the human players, leading to a co-evolution in all domains where real-time communication is essential. This topical volume, based on the findings of the Socionical European research project, gives equal attention to two highly relevant domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations. Care was taken to investigate as much as possible the limits of scalability and to combine the modeling using complex systems science approaches with relevant data analysis.
Co-governed Sovereignty Network: Legal Basis and Its Prototype & Applications with MIN Architecture
by Hui Li Xin YangThis open access book introduces MIN, a novel networking architecture to implement the sovereign equality of all countries in the cyberspace. Combining legal theory and network technology, it first discusses the historical development of sovereignty and expounds the legal basis of cyberspace sovereignty. Then, based on the high-performance blockchain, it describes a new network architecture designed to implement co-governance at the technical level. Explaining network sovereignty and including rich illustrations and tables, the book helps readers new to the field grasp the evolution and necessity of cyberspace sovereignty, gain insights into network trends and develop a preliminary understanding of complex network technologies such as blockchain, security mechanisms and routing strategies. The MIN network implements the “four principles” of cyberspace adopted by most nations and people: respecting cyber sovereignty; maintaining peace and protection; promoting openness and cooperation; and building good order to provide network system security. There maybe three scales of application scenario for MIN, the big one is for UN of Cyberspace, the middle one is for Smart city, the small one is for enterprise group or organizations as private network, MIN-VPN. We have developed the product of MIN-VPN, you could find its message on the preface if care about the security of your network.