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Introduction As more and more information becomes available in increasing detail, it is evident that traditional data management and distribution techniques fail to provide an environment in which: a) large organizations can deliver tailored views of their databases to clients; and b) small organizations can afford to engage in data analysis efforts that thrive under real-world conditions, such as database updates, personnel turnover, and cross-agency collaboration. The Intelligent Middleware project prototypes and tests an approach for sharing data within a metropolitan area in a manner that is likely to be more effective, scalable, and sustainable than the traditional ‘data center’ approach. These tools and methods provide a mechanism for accumulating local
knowledge about neighborhood-scale land use, ownership, and market potential
and for using that knowledge to re-interpret administrative datasets
and develop customized analyses of neighborhood conditions and market
potential.
Collaborators MIT Urban Information Systems Group Metropolitan Area Planning Council City of Boston Department of Neighborhood Development The Boston Community Building Network, The Boston Foundation
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