This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.

This volume of the Sociology of the Sciences Yearbooks stems from our experience that collaborations between non-scientists and scientists, often initiated by scientists seeking greater social relevance for science, can be of major importance for cognitive development. It seemed to us that it would be useful to explore the conditions under which such collaborations affect scientific change and the nature of the processes involved. This book therefore focuses on a number of instances in which scientists and non-scientists were jointly involved in the genera tion of scientific results at the "interface" of science and society. Despite the considerable variety of cases reported here, a number of questions are central. Under what conditions do such cooperative processes occur? What perceptions of social relevance and what sorts of col laborations with non-scientific groups are involved? How is this collaboration achieved, and through what forums? How can insights into its conditions and mechanisms stabilize such cooperations over a longer period of time? If they are stabilized, do they really affect science, or do they mainly function to shield the rest of the science system against external influences? These questions are pertinent both to intellectual problems in the sociology of science and to the practical concerns of modern science policies. The significance of relations between knowledge producers and knowledge consumers and interest in how these relations affect science and society have changed considerably in recent decades."

This volume of the Sociology of the Sciences Yearbooks stems from our experience that collaborations between non-scientists and scientists, often initiated by scientists seeking greater social relevance for science, can be of major importance for cognitive development. It seemed to us that it would be useful to explore the conditions under which such collaborations affect scientific change and the nature of the processes involved. This book therefore focuses on a number of instances in which scientists and non-scientists were jointly involved in the genera tion of scientific results at the "interface" of science and society. Despite the considerable variety of cases reported here, a number of questions are central. Under what conditions do such cooperative processes occur? What perceptions of social relevance and what sorts of col laborations with non-scientific groups are involved? How is this collaboration achieved, and through what forums? How can insights into its conditions and mechanisms stabilize such cooperations over a longer period of time? If they are stabilized, do they really affect science, or do they mainly function to shield the rest of the science system against external influences? These questions are pertinent both to intellectual problems in the sociology of science and to the practical concerns of modern science policies. The significance of relations between knowledge producers and knowledge consumers and interest in how these relations affect science and society have changed considerably in recent decades."

"Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK ________________________________________ "This book is a ground-breaking collection of theory and techniques to help understand the internal dynamics of the modern knowledge-based economy, including issues such as stability, anticipation, and interactions amongst components. The combination of theory, measurement, and modelling gives the necessary power with which to address the complexity of modern networked social systems. Each on its own would partly illuminate an innovation system, but the combination sheds a far brighter light." Mike Thelwall Information Science, University of Wolverhampton, UK ________________________________________ "The sociologist Niklas Luhmann is considered one of the few social scientists possibly able to explain a decisive event once it has happened. In this book, Loet Leydesdorff answers the challenge to take Luhmann's analysis one step further by introducing anticipation into the theory. This book provides a fascinating exploration of the use of recursion and incursion to model social processes." Dirk Baecker Sociology, Universitat Witten/Herdecke, Germany ________________________________________ How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models.