Jannis Kallinikos analyzes the recent spectacular growth of information and the self-propelling processes through which technological information is increasingly generated out of the reshuffling and recombination of available and interoperable information sources. He argues that information is no longer simply a resource but a pervading element of socio-economic life that is crucially involved in the redefinition of a variety of organizational practices and modes of economic action. Academics and students in a variety of disciplines, including information studies, information systems, manageme.

A study of the impact of Internet use on American society, based on a series of nationally representative surveys conducted from 1995 to 2000. Drawing on nationally representative telephone surveys conducted from 1995 to 2000, James Katz and Ronald Rice offer a rich and nuanced picture of Internet use in America. Using quantitative data, as well as case studies of Web sites, they explore the impact of the Internet on society from three perspectives: access to Internet technology (the digital divide), involvement with groups and communities through the Internet (social capital), and use of the Internet for social interaction and expression (identity). To provide a more comprehensive account of Internet use, the authors draw comparisons across media and include Internet nonusers and former users in their research. The authors call their research the Syntopia Project to convey the Internet's role as one among a host of communication technologies as well as the synergy between people's online activities and their real-world lives. Their major finding is that Americans use the Internet as an extension and enhancement of their daily routines. Contrary to media sensationalism, the Internet is neither a utopia, liberating people to form a global egalitarian community, nor a dystopia-producing armies of disembodied, lonely individuals. Like any form of communication, it is as helpful or harmful as those who use it.

Military organizations are, by their very nature, resistant to change. This is, in no small part, due to the fact that the cost of error is exceedingly high. Change, particularly change that may affect the relationships among organizations and between commanders and their subordinates presents significant risks and generates considerable concern.The explosion of information technologies has set in motion a virtual tidal wave of change that is in the process of profoundly affecting organizations and individuals in multiple dimensions. The military is no exception. The military is now on the road to becoming an information age organization. The transformation involved is fraught with both risks and opportunities because it will affect the nature of the information provided as well as the manner in which it is provided.Dr. David S. Alberts is currently Director of Advanced Concepts, Technologies, and Information Strategies at the Institute for National Strategic Studies at the National Defense University. He has held senior positions in government, industry, and academia over a twenty-five-year career and has been a leader in helping organizations take advantage of the opportunities offered by technology.

How data science and the analysis of networks help us solve the puzzle of unintended consequences. Social life is full of paradoxes. Our intentional actions often trigger outcomes that we did not intend or even envision. How do we explain those unintended effects and what can we do to regulate them? In Decoding the Social World, Sandra González-Bailón explains how data science and digital traces help us solve the puzzle of unintended consequences—offering the solution to a social paradox that has intrigued thinkers for centuries. Communication has always been the force that makes a collection of people more than the sum of individuals, but only now can we explain why: digital technologies have made it possible to parse the information we generate by being social in new, imaginative ways. And yet we must look at that data, González-Bailón argues, through the lens of theories that capture the nature of social life. The technologies we use, in the end, are also a manifestation of the social world we inhabit. González-Bailón discusses how the unpredictability of social life relates to communication networks, social influence, and the unintended effects that derive from individual decisions. She describes how communication generates social dynamics in aggregate (leading to episodes of “collective effervescence”) and discusses the mechanisms that underlie large-scale diffusion, when information and behavior spread “like wildfire.” She applies the theory of networks to illuminate why collective outcomes can differ drastically even when they arise from the same individual actions. By opening the black box of unintended effects, González-Bailón identifies strategies for social intervention and discusses the policy implications—and how data science and evidence-based research embolden critical thinking in a world that is constantly changing.

Recent years have yielded significant advances in computing and communication technologies, with profound impacts on society. Technology is transforming the way we work, play, and interact with others. From these technological capabilities, new industries, organizational forms, and business models are emerging. Technological advances can create enormous economic and other benefits, but can also lead to significant changes for workers. IT and automation can change the way work is conducted, by augmenting or replacing workers in specific tasks. This can shift the demand for some types of human labor, eliminating some jobs and creating new ones. Information Technology and the U.S. Workforce explores the interactions between technological, economic, and societal trends and identifies possible near-term developments for work. This report emphasizes the need to understand and track these trends and develop strategies to inform, prepare for, and respond to changes in the labor market. It offers evaluations of what is known, notes open questions to be addressed, and identifies promising research pathways moving forward.

The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.

"Motion-free super-resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene. This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field."--Jacket.