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Network Science
  • Language: en
  • Pages: 124

Network Science

The military is currently attempting to develop itself into a force capable of networkcentric operations. While this effort has highlighted the military’s dependence on interacting networks, it has also shown that there is a huge gap between what we need to know about networks and our fundamental knowledge about network behavior. This gap makes the military vision of NCO problematic. To help address this problem, the Army asked the NRC to find out whether identifying and funding a new field of “network science†could help close this gap. This report presents an examination of networks andthe military, an analysis of the promise, content, and challenges of network science, and an assessment of approaches to creating value from network science.

Engineering Employment Characteristics
  • Language: en
  • Pages: 94

Engineering Employment Characteristics

This panel report was prepared as part of the study of engineering education and practice conducted under the guidance of the National Research Council's Committee on the Education and Utilization of the Engineer. The panel's goal was to provide a data base that describes the engineering work force, its main activities, capabilities, and principal employers. Chapters included are: (1) "Introduction" (discussing the role of engineering); (2) "The Engineering Work Force" (describing the numbers and characteristics, aging and retirement, and women and minorities in engineering); (3) "Utilization of Engineers" (information on employment characteristics and efficiency of utilization); (4) "Qualit...

Statistical Software Engineering
  • Language: en
  • Pages: 84

Statistical Software Engineering

This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.