Abstract. I-DIAG is an attempt to understand how to take the collective discussions of a large group of people and distill the messages and documents into more succinct, durable knowledge. I-DIAG is a distributed environment that includes two separate applications, CyberForum and Consolidate. The goals of the project, the architecture of I-DIAG, and the two applications are described. We focus on technical mechanisms to augment social maintenance and social regulation in the system.

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We present an ongoing research project utilizing navigation and hyperlink data to aid collaborative knowledge building. We allow collaborators to personally organize documents and other research resources and make references to them. We combine their personal organizations and references to develop a unified, hierarchical categorization of these resources. We analyze collaborators' navigations to identify prominent research activities as well as the key documents related to these activities. We examine prominence over time to identify research trends.

Although a burst of recent research in economics has examined how industries form, a majority of it considers highly simplified models. In this paper, we use computational modeling techniques to expand from traditional, simple, analytically tractable economic models to more complex two dimensional landscapes. Using the basic theories developed in earlier research, we examine what factors cause cities to emerge, including: transportation costs, the percentage of workers in a population, and the elasticity of substitution. These three factors should cause workers and firms to agglomerate, causing cities to emerge out of a scattered population. Copyright Springer Science+Business Media, LLC 2007Computational modeling, City formation, Evolutionary algorithms,

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