Networks of Excellence (NoE) in European Union are specific instrument of the 6th and 7th European Framework Programmes for achieving the long-term goal of integration of research activities in Europe within the concept of European Research Area. Shortly after its launch in Europe in 2003, this new organisational form spread to Russia: in 2006 the pilot virtual community of researchers Network of excellence “Development of interfirm cooperation forms: networks and relationships ” has been launched by several professors of Marketing at the State University- Higher School of Economics. While being truly important for researchers, NoE is a completely new form of research community integration, and it has not yet been an object of a serious study. In this paper we outline a theoretical framework for NoE functioning and the interaction of its members. In case studies of the European NoE called PRIME and the Russian pilot project we investigate in depth the dimensions of design (purposes and evaluation) and implementation (governance mechanisms and evolution paths), and explain the systemic interrelations between the NoEs ’ organisational properties and their development context. We show how European experience can be adapted and exploited for implementing research networks in Russia. The summary and conclusions follow.

and culture play a central role. This has become feasible because the capital required for social production and exchange in the networked information economy is relatively cheap and widely distributed. Much of the book argues the perceived advantages of the networked information economy from a multi

Abstract. Fundamental properties of conditional value-at-risk, as a measure of risk with significant advantages over value-at-risk, are derived for loss distributions in finance that can involve discreetness. Such distributions are of particular importance in applications because of the prevalence

in order to identify the “direction of the wind. ” Instead, we propose to use as a building block the more robust Lax-Friedrichs (LxF) solver. The main advantage is simplicity: no Riemann problems are solved and hence field-by-field decompositions are avoided. The main disadvantage is the excessive

or pain in the laboratory. An advantage of laboratory experiments is that extraneous aspects of an experience can be controlled, and the unique effect of a stimulus on individuals' experiences can be evaluated. Participants in many experiments in psychology and in consumer research, for example

Abstract. This paper presents a taxonomy of existing approaches for using response surfaces for global optimization. Each method is illustrated with a simple numerical example that brings out its advantages and disadvantages. The central theme is that methods that seem quite reasonable often have

technique which we call Piecewise Aggregate Approximation (PAA). We theoretically and empirically compare it to the other techniques and demonstrate its superiority. In addition to being competitive with or faster than the other methods, our approach has numerous other advantages. It is simple to understand

depends strongly on the proportion of stock funds in the plan. (JEL G11, G23, H55) There is a worldwide trend toward defined contribution saving plans in which investment decisions are made by the plan participants themselves (Employee Benefit Research Institute, 1997). While the advantages of such plans

and numerical results that indicate that the method is very efficient, both in theory and in practice. Compared to existing specialized algorithms (where they are available), the interior-point method will generally be slower; the advantage is that it handles a much wider variety of problems.

stimuli as required in tests for numerical abilities. These processes are typically right hemisphere-based in other mammals (including humans) and birds. The present data provide further evidence for a general right visual field advantage in bottlenose dolphins for visual information processing