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The exponentially increasing amounts of biological data along with comparable advances in computing power are making possible the construction of quantitative, predictive biological systems models. This development could revolutionize those biology-based fields of science. To assist this transformation, the U.S. Department of Energy asked the National Research Council to recommend mathematical research activities to enable more effective use of the large amounts of existing genomic information and the structural and functional genomic information being created. The resulting study is a broad, scientifically based view of the opportunities lying at the mathematical science and biology interface. The book provides a review of past successes, an examination of opportunities at the various levels of biological systemsâ€" from molecules to ecosystemsâ€"an analysis of cross-cutting themes, and a set of recommendations to advance the mathematics-biology connection that are applicable to all agencies funding research in this area.
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system....
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This book explores what science fiction can tell us about the human condition in a technological world, with the ethical dilemmas and consequences that this entails. This book is the result of the joint efforts of scholars and scientists from various disciplines. This interdisciplinary approach sets an example for those who, like us, have been busy assessing the ways in which fictional attempts to fathom the possibilities of science and technology speak to central concerns about what it means to be human in a contemporary world of technology and which ethical dilemmas it brings along. One of the aims of this book is to demonstrate what can be achieved in approaching science fiction as a kind of imaginary laboratory for experimentation, where visions of human (or even post-human) life under various scientific, technological or natural conditions that differ from our own situation can be thought through and commented upon. Although a scholarly work, this book is also designed to be accessible to a general audience that has an interest in science fiction, as well as to a broader academic audience interested in ethical questions.
Integrated computational materials engineering (ICME) is an emerging discipline that can accelerate materials development and unify design and manufacturing. Developing ICME is a grand challenge that could provide significant economic benefit. To help develop a strategy for development of this new technology area, DOE and DoD asked the NRC to explore its benefits and promises, including the benefits of a comprehensive ICME capability; to establish a strategy for development and maintenance of an ICME infrastructure, and to make recommendations about how best to meet these opportunities. This book provides a vision for ICME, a review of case studies and lessons learned, an analysis of technological barriers, and an evaluation of ways to overcome cultural and organizational challenges to develop the discipline.