Introducing simulation in social studies of science and technology: N. Gilbert: Simulation: An introduction to the idea.- J. Klüver: Modelling science as an adaptive and self-organising social system: Concepts, theories and modelling tools.- P. Ahrweiler, S. Wörmann: Computer simulations in science and technology studies.- Simulating the logic of discovery: M. May: Causation and discovery.- G. Graßhoff: The discovery of the urea cycle: Computer models of scientific discovery.- R. Vos, F. Rikken: Connecting disconnected structures: The modelling of scientific discovery in medical literature databases.- Evolutionary models of science and technology: K. Troitzsch: The evolution of technologies.- K. Frenken, O. Verbart: Simulating paradgm shifts using a lock-in model.- P. Ahrweiler, R. Wolkenhammer: SiSiFOS - simulating studies on the internal formation and the organization of science.- G. Küppers: The self-organization of social systems: A simulation of the social construction of knowledge.- C. Stoica: Modelling Krohn and Küppers` theory of science as a self-organizing system.- Simulating conditions and dependencies of scientific work: A. Miller: Modelling creativity.- P. Windrum, C. Birchenhall: Developing simulation models with policy relevance: The implications of recent UK reforms for emergent scientific disciplines.