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OKDI.com

OKDI: Online Knowledge and Distributed Intelligence/ initiative.

The recent growth in computer power and connectivity has changed the face of science and engineering. The future promises continued acceleration of these changes. The challenge today is to build upon the fruits of this revolution. This rise in power, connectivity, content, and flexibility is so fundamental that it is dramatically reshaping relationships among people and organizations, and quickly transforming our processes of discovery, learning, exploration, cooperation, and communication. It permits us to study vastly more complex systems than was hither to possible and provides a foundation for rapid advances in understanding of learning and intelligent behavior in living and engineered systems. Today's challenge is to realize the full potential of these new resources and institutional transformations.

Knowledge and Distributed Intelligence (KDI) is a Foundation-wide effort designed to catalyze this next step.

The National Science Foundation (NSF) aims to achieve, across the scientific and engineering communities, the next generation of human capability to generate, gather, model, and represent more complex and cross-disciplinary scientific data from new sources and at enormously varying scales; to transform this information into knowledge by combining, classifying, and analyzing it in new ways; to deepen our understanding of the cognitive, ethical, educational, legal, and social implications of new types of interactivity; and to collaborate in sharing this knowledge and working together interactively.

The anticipated payoffs of KDI research include:

Deep, far-reaching scientific discovery
Increases in scientific productivity, and in the timeliness and quality of the results
Increased ability to handle problems of greater complexity, scale, and structure
The creation of new scientific and engineering communities to exploit novel discoveries
Enhancements in science and engineering education through development of richer learning tools, technologies, and environments, and more universal access to richer resources and tools
Enhanced understanding of the processes and results of learning and applications thereof
A more complete understanding of the fundamental processes of distributed intelligence in natural and artificial systems and their application
An understanding of the legal, ethical, and societal implications of the increased capability to gather and access information
Enhanced ability to communicate and transfer new understanding and technological innovations to society
Advances in statistical data reduction, data visualization, data mining, and data organization for retrieval so as to utilize vast stores of data
Improved methods for expressing, computing with, and evaluating different types of uncertainties in real-world data
 

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