Peter van den Besselaar – författare

This book constitutes the proceedings of the 8th International Conference on Human Choice and Computers held in Pretoria, South Africa.The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.

This book includes 23 papers dealing with the impact of modern information and communication technologies that support a wide variety of communities: local communities, virtual communities, and communities of practice, such as knowledge communities and scientific communities. The volume is the result of the second multidisciplinary "Communities and Technologies Conference", a major event in this emerging research field. The various chapters discuss how communities are affected by technologies, and how understanding of the way that communities function can be used in improving information systems design. This state of the art overview will be of interest to computer and information scientists, social scientists and practitioners alike.

This book constitutes the proceedings of the 8th International Conference on Human Choice and Computers held in Pretoria, South Africa.The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.

This book presents revised full papers contributed to the Third International Digital Cities Workshop held in Amsterdam, The Netherlands, in September 2003.The 25 papers presented together with an introductory overview went through two rounds of reviewing and improvement. They are organized in topical sections on digital cities around the world: case studies; virtual community platforms; knowledge and data modeling for digital cities; participation, design, and monitoring; information and communications technology and social capital.

This book contains the papers presented at the second KyotoWorkshop on Digital Cities that took place in October 2001. This was the third in a series of three related confer- ces. The previous conferences were the KyotoWorkshop on Communityware and Social Interaction in 1998, and the ?rst KyotoWorkshop on Digital Cities, in September 1999. Together they have contributed to the advancement of the research on digital cities, one of the research topics within the emerging ?eld of 'social informatics'. Themeetingaimedatimprovingourunderstandingofthecurrentstatusandfutureof thoseclassesofsystemsthatcanbesubsumedundertheheadingofdigitalcity.Whatare feasiblemodelsfordigitalcities?Whatdoexperimentswithdigitalcitiesteachus?What new technologies for digital cities emerge? The meeting aimed at encouraging research and practical activities in this ?eld, and enabled the interaction between computer sci- tists, social scientists, and enlightened practitioners, engaged with digital cities.Topics of discussion were design and analysis, theoretical perspectives on digital cities, ex- riments with digital cities and with community networks, applications of digital cities, user studies, visualization, (mobile) technologies for digital cities, social interaction and communityware, user involvement in digital cities and community networks, and or- nizational and business models for digital cities.

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.