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Simulating Innovation by Christopher Watts,Nigel Gilbert Pdf
Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. ø Agent-based simulation models can be used to explain the innovation that emerges from interact
Simulating Innovation by Christopher Watts,G. Nigel Gilbert Pdf
Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. Agent-based simulation models can be used to explain the innovation that emerges from interactions among complex, adaptive, diverse networks of firms, people, technologies, practices and resources. This book provides a critical review of recent advances in agent-based modelling and other forms of the simulation of innovation. Elements explored include: diffusion of innovations, social networks, organisational learning, science models, adopting and adapting, and technological evolution and innovation networks. Many of the models featured in the book can be downloaded from the book's accompanying website. Bringing together simulation models from several innovation-related fields, this book will prove a fascinating read for academics and researchers in a wide range of disciplines, including: innovation studies, evolutionary economics, complexity science, organisation studies, social networks, and science and technology studies. Scholars and researchers in the areas of computer science, operational research and management science will also be interested in the uses of simulation models to improve the understanding of organisation.
Simulating Knowledge Dynamics in Innovation Networks by Nigel Gilbert,Petra Ahrweiler,Andreas Pyka Pdf
The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.
Joining Complexity Science and Social Simulation for Innovation Policy by Petra Ahrweiler,Nigel Gilbert,Andreas Pyka Pdf
This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http://cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.
Successful innovation demands more than a good strategic plan; it requires creative improvisation. Much of the "serious play" that leads to breakthrough innovations is increasingly linked to experiments with models, prototypes, and simulations. As digital technology makes prototyping more cost-effective, serious play will soon lie at the heart of all innovation strategies, influencing how businesses define themselves and their markets. Author Michael Schrage is one of today's most widely recognized experts on the relationship between technology and work. In Serious Play, Schrage argues that the real value in building models comes less from the help they offer with troubleshooting and problem solving than from the insights they reveal about the organization itself. Technological models can actually change us--improving the way we communicate, collaborate, learn, and innovate. With real-world examples and engaging anecdotes, Schrage shows how companies such as Disney, Microsoft, Boeing, IDEO, and DaimlerChrysler use serious play with modeling technologies to facilitate the collaborative interactions that lead to innovation. A user's guide included with the book helps readers apply many of the innovation practices profiled throughout. A landmark book by one of the most perceptive voices in the field of innovation.
Joining Complexity Science and Social Simulation for Innovation Policy by Petra Ahrweiler,G. Nigel Gilbert,Andreas Pyka Pdf
This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http: //cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.
Simulations and the Future of Learning by Clark Aldrich Pdf
Simulations and the Future of Learning offers trainers and educators the information and perspective they need to understand, design, build, and deploy computer simulations for this generation. Looking back on his recent first-hand experience as lead designer for an advanced leadership development simulation, author Clark Aldrich has created a detailed case study of the creation and deployment of an e-learning simulation that had the development cycle of a modern computer game. With this book Aldrich, a leader in the e-learning field, has created an intriguing roadmap for the future of learning while taking us along on an entertaining rollercoaster ride of trial and error, success and failure. Simulations and the Future of Learning outlines the design principles and critical decisions around any simulation's components— the interface, the physics and animation systems, the artificial intelligence, and sets and figures. Using this accessible resource, readers will learn how to create and evaluate successful simulations that have the following characteristics: authentic and relevant scenarios; applied pressure situations that tap user's emotion and force them to act; a sense of unrestricted options; and replayability.
Social Simulation for a Digital Society by Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill Pdf
“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.
Author : Scott B. Crawford,Lance W. Baily,Stormy M. Monks Publisher : Springer Page : 395 pages File Size : 44,7 Mb Release : 2019-07-17 Category : Medical ISBN : 9783030153786
Comprehensive Healthcare Simulation: Operations, Technology, and Innovative Practice by Scott B. Crawford,Lance W. Baily,Stormy M. Monks Pdf
This practical guide provides a focus on the implementation of healthcare simulation operations, as well as the type of professional staff required for developing effective programs in this field. Though there is no single avenue in which a person pursues the career of a healthcare simulation technology specialist (HSTS), this book outlines the extensive knowledge and variety of skills one must cultivate to be effective in this role. This book begins with an introduction to healthcare simulation, including personnel, curriculum, and physical space. Subsequent chapters address eight knowledge/skill domains core to the essential aspects of an HSTS. To conclude, best practices and innovations are provided, and the benefits of developing a collaborative relationship with industry stakeholders are discussed. Expertly written text throughout the book is supplemented with dozens of high-quality color illustrations, photographs, and tables. Written and edited by leaders in the field, Comprehensive Healthcare Simulation: Operations, Technology, and Innovative Practice is optimized for a variety of learners, including healthcare educators, simulation directors, as well as those looking to pursue a career in simulation operations as healthcare simulation technology specialists.
Every company's ability to innovate depends on a process of experimentation whereby new products and services are created and existing ones improved. But the cost of experimentation is limiting. New technologies--including computer modeling and simulation--promise to lift that constraint by changing the economics of experimentation. They amplify the impact of learning, creating the potential for higher R&D performance and innovation and new ways of creating value for customers. Stefan H. Thomke argues that to unlock such potential, companies must not only understand the power of new technologies for experimentation, but also fundamentally change their processes, organization, and management of innovation. He shows why experimentation is so critical to innovation, explains the impact of new technologies, and outlines what managers must do to integrate them successfully.
Advances in Social Simulation by Flaminio Squazzoni Pdf
This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.
Simulating Security Returns by Giovanni Barone Adesi Pdf
Practitioners in risk management are familiar with the use of the FHS (filtered historical simulation) to finding realistic simulations of security returns. This approach has become increasingly popular over the last fifteen years, as it is both flexible and reliable, and is now being accepted in the academic community. Simulating Security Returns is a useful guide for researchers, students, and practitioners. It uses the FHS approach to help simulate the returns of large portfolios of securities. While other simulation methods use the covariance matrix of security returns, which suffers the curse of dimensionality even for modest portfolios, Barone Adesi demonstrates how FHS can accurately adjust to current market conditions.
Advances in Social Simulation by Petra Ahrweiler,Martin Neumann Pdf
This book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields.
The first chapter provides an overview of the development of a novel agent-based simulation model of socio-environmental innovation diffusion. The second chapter shows the study about rendering of colours with three rendering engines. The third and fourth chapters are devoted to modelling clothes at different levels. The fifth chapter describes the modelling of computer simulation in the optimization of bioprocess technology. Chapters 6 and 7 formulate a physical model of deformation of steel and idea of constructing a scientific workshop focused on high-temperature processes. Chapter 8 formulates surrogate models. Chapter 9 shows computer simulation of high-frequency electromagnetic fields. Chapter 10 proposes the modelling of the task allocation problem by the use of Petri Nets. Chapter 11 presents various scenarios whose ranking is done according to defined criteria and weight coefficients.
